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  • 1.
    Adams, Hieab H. H.
    et al.
    Erasmus MC, Dept Epidemiol, Rotterdam, Netherlands.;Erasmus MC, Dept Radiol & Nucl Med, Rotterdam, Netherlands..
    Hibar, Derrek P.
    Univ Southern Calif, Keck Sch Med, USC Mark & Mary Stevens Neuroimaging & Informat I, Imaging Genet Ctr, Los Angeles, CA USA..
    Chouraki, Vincent
    Boston Univ, Sch Med, Dept Neurol, Boston, MA 02118 USA.;Univ Lille, RID AGE Risk Factors & Mol Determinants Aging Rel, CHU Lille, Inserm,Inst Pasteur Lille, Lille, France.;Framingham Heart Dis Epidemiol Study, Framingham, MA USA..
    Stein, Jason L.
    Univ Southern Calif, Keck Sch Med, USC Mark & Mary Stevens Neuroimaging & Informat I, Imaging Genet Ctr, Los Angeles, CA USA.;Univ N Carolina, Dept Genet, Chapel Hill, NC USA.;Univ N Carolina, UNC Neurosci Ctr, Chapel Hill, NC USA..
    Nyquist, Paul A.
    Johns Hopkins Univ, Dept Neurol, Dept Anesthesia Crit Care Med, Dept Neurosurg, Baltimore, MD 21218 USA..
    Renteria, Miguel E.
    QIMR Berghofer Med Res Inst, Brisbane, Qld, Australia..
    Trompet, Stella
    Leiden Univ, Med Ctr, Dept Cardiol, Leiden, Netherlands..
    Arias-Vasquez, Alejandro
    Radboud Univ Nijmegen, Med Ctr, Dept Human Genet, Nijmegen, Netherlands.;Radboud Univ Nijmegen, Med Ctr, Dept Psychiat, Nijmegen, Netherlands.;Radboud Univ Nijmegen, Med Ctr, Dept Cognit Neurosci, Nijmegen, Netherlands.;Radboud Univ Nijmegen, Donders Inst Brain Cognit & Behav, Nijmegen, Netherlands..
    Seshadri, Sudha
    Boston Univ, Sch Med, Dept Neurol, Boston, MA 02118 USA.;Framingham Heart Dis Epidemiol Study, Framingham, MA USA..
    Desrivieres, Sylvane
    Kings Coll London, Inst Psychiat Psychol & Neurosci, MRC SGDP Ctr, London, England..
    Beecham, Ashley H.
    Univ Miami, Miller Sch Med, Dept Human Genet, Dr John T Macdonald Fdn, Miami, FL 33136 USA.;Univ Miami, Miller Sch Med, John P Hussman Inst Human Gen, Miami, FL 33136 USA..
    Jahanshad, Neda
    Univ Southern Calif, Keck Sch Med, USC Mark & Mary Stevens Neuroimaging & Informat I, Imaging Genet Ctr, Los Angeles, CA USA..
    Wittfeld, Katharine
    German Ctr Neurodegenerat Dis DZNE Rostock Greifs, Greifswald, Germany.;Univ Med Greifswald, Dept Psychiat, Greifswald, Germany..
    Van der Lee, Sven J.
    Erasmus MC, Dept Epidemiol, Rotterdam, Netherlands..
    Abramovic, Lucija
    UMC Utrecht, Dept Psychiat, Brain Ctr Rudolf Magnus, Utrecht, Netherlands..
    Alhusaini, Saud
    McGill Univ, Montreal Neurol Inst, Dept Neurol & Neurosurg, Montreal, PQ, Canada.;Royal Coll Surgeons Ireland, Dublin 2, Ireland..
    Amin, Najaf
    Erasmus MC, Dept Epidemiol, Rotterdam, Netherlands..
    Andersson, Micael
    Umea Univ, Dept Integrat Med Biol, Umea, Sweden.;Umea Univ, Umea Ctr Funct Brain Imaging, Umea, Sweden..
    Arfanakis, Konstantinos
    IIT, Dept Biomed Engn, Chicago, IL 60616 USA.;Rush Univ, Med Ctr, Rush Alzheimers Dis Ctr, Chicago, IL 60612 USA.;Rush Univ, Med Ctr, Dept Diagnost Radiol & Nucl Med, Chicago, IL 60612 USA..
    Aribisala, Benjamin S.
    Univ Edinburgh, Brain Res Imaging Ctr, Edinburgh, Midlothian, Scotland.;Lagos State Univ, Dept Comp Sci, Lagos, Nigeria.;Univ Edinburgh, Dept Neuroimaging Sci, Scottish Imaging Network, Edinburgh, Midlothian, Scotland..
    Armstrong, Nicola J.
    Univ New South Wales, Sch Psychiat, Ctr Hlth Brain Ageing, Sydney, NSW, Australia.;Murdoch Univ, Math & Stat, Perth, WA, Australia..
    Athanasiu, Lavinia
    Univ Oslo, Inst Clin Med, NORMENT KG Jebsen Ctr, Oslo, Norway.;Oslo Univ Hosp, Div Mental Hlth & Addict, NORMENT KG Jebsen Ctr, Oslo, Norway..
    Axelsson, Tomas
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Beiser, Alexa
    Boston Univ, Sch Med, Dept Neurol, Boston, MA 02118 USA.;Framingham Heart Dis Epidemiol Study, Framingham, MA USA.;Boston Univ, Sch Publ Hlth, Dept Biostat, Boston, MA USA..
    Bernard, Manon
    Univ Toronto, Hosp Sick Children, Toronto, ON, Canada..
    Bis, Joshua C.
    Univ Washington, Dept Med, Cardiovasc Hlth Res Unit, Seattle, WA USA..
    Blanken, Laura M. E.
    Erasmus MC, Generat R Study Grp, Rotterdam, Netherlands.;Erasmus MC Sophia Childrens Hosp, Dept Child & Adolescent Psychiat Psychol, Rotterdam, Netherlands..
    Blanton, Susan H.
    Univ Miami, Miller Sch Med, Dept Human Genet, Dr John T Macdonald Fdn, Miami, FL 33136 USA.;Univ Miami, Miller Sch Med, John P Hussman Inst Human Gen, Miami, FL 33136 USA..
    Bohlken, Marc M.
    UMC Utrecht, Dept Psychiat, Brain Ctr Rudolf Magnus, Utrecht, Netherlands..
    Boks, Marco P.
    UMC Utrecht, Dept Psychiat, Brain Ctr Rudolf Magnus, Utrecht, Netherlands..
    Bralten, Janita
    Radboud Univ Nijmegen, Med Ctr, Dept Human Genet, Nijmegen, Netherlands.;Radboud Univ Nijmegen, Donders Inst Brain Cognit & Behav, Nijmegen, Netherlands..
    Brickman, Adam M.
    Columbia Univ, Med Ctr, Taub Inst Res Alzheimers Dis & Aging Brain, New York, NY USA.;Columbia Univ, GH Sergievsky Ctr, Med Ctr, New York, NY USA.;Columbia Univ, Dept Neurol, Med Ctr, New York, NY USA..
    Carmichael, Owen
    Pennington Biomed Res Ctr, 6400 Perkins Rd, Baton Rouge, LA 70808 USA..
    Chakravarty, M. Mallar
    Douglas Mental Hlth Univ Inst, Cerebral Imaging Ctr, Montreal, PQ, Canada.;McGill Univ, Dept Psychiat & Biomed Engn, Montreal, PQ, Canada..
    Chauhan, Ganesh
    Univ Bordeaux, INSERM Unit U1219, Bordeaux, France..
    Chen, Qiang
    Lieber Inst Brain Dev, Baltimore, MD USA..
    Ching, Christopher R. K.
    Univ Southern Calif, Keck Sch Med, USC Mark & Mary Stevens Neuroimaging & Informat I, Imaging Genet Ctr, Los Angeles, CA USA.;Univ Calif Los Angeles, Sch Med, Interdept Neurosci Grad Program, Los Angeles, CA USA..
    Cuellar-Partida, Gabriel
    QIMR Berghofer Med Res Inst, Brisbane, Qld, Australia..
    Den Braber, Anouk
    Vrije Univ Amsterdam, Biol Psychol, Neurosci Campus Amsterdam, Amsterdam, Netherlands.;Vrije Univ Amsterdam, Med Ctr, Amsterdam, Netherlands..
    Doan, Nhat Trung
    Univ Oslo, Inst Clin Med, NORMENT KG Jebsen Ctr, Oslo, Norway..
    Ehrlich, Stefan
    Tech Univ Dresden, Fac Med, Div Psychol & Social Med & Dev Neurosci, Dresden, Germany.;Massachusetts Gen Hosp, Dept Psychiat, Boston, MA 02114 USA.;Massachusetts Gen Hosp, Martinos Ctr Biomed Imaging, Charlestown, MA USA..
    Filippi, Irina
    Univ Paris Sud, Univ Paris Descartes, NSERM Unit Neuroimaging & Psychiat 1000, Paris, France.;Hosp Cochin, AP HP, Maison Solenn Adolescent Psychopathol & Med Dept, Paris, France..
    Ge, Tian
    Massachusetts Gen Hosp, Martinos Ctr Biomed Imaging, Charlestown, MA USA.;Massachusetts Gen Hosp, Ctr Human Genet Res, Psychiat & Neurodev Genet Unit, Boston, MA 02114 USA.;Harvard Med Sch, Boston, MA USA.;Broad Inst MIT & Harvard, Stanley Ctr Psychiat Res, Boston, MA USA..
    Giddaluru, Sudheer
    Univ Bergen, Dept Clin Sci, NORMENT KG Jebsen Ctr Psychosis Res, N-5020 Bergen, Norway.;Haukeland Hosp, Ctr Med Genet & Mol Med, Dr Einar Martens Res Grp Biol Psychiat, Bergen, Norway..
    Goldman, Aaron L.
    Lieber Inst Brain Dev, Baltimore, MD USA..
    Gottesman, Rebecca F.
    Johns Hopkins Univ, Sch Med, Dept Neurol, Baltimore, MD 21205 USA..
    Greven, Corina U.
    Radboud Univ Nijmegen, Med Ctr, Dept Cognit Neurosci, Nijmegen, Netherlands.;Karakter Child & Adolescent Psychiat Univ Ctr, Nijmegen, Netherlands.;Kings Coll London, Med Res Council Social, Genet & Dev Psychiat Ctr, Inst Psychol Psychiat & Neurosci, London, England..
    Grimm, Oliver
    Heidelberg Univ, Med Fac Mannheim, Cent Inst Mental Hlth, Mannheim, Germany..
    Griswold, Michael E.
    Univ Mississippi, Med Ctr, Ctr Biostat & Bioinformat, Jackson, MS 39216 USA..
    Guadalupe, Tulio
    Max Planck Inst Psycholinguist, Language & Genet Dept, Nijmegen, Netherlands.;Int Max Planck Res Sch Language Sci, Nijmegen, Netherlands..
    Hass, Johanna
    Tech Univ Dresden, Fac Med, Dept Child & Adolescent Psychiat, Dresden, Germany..
    Haukvik, Unn K.
    Univ Oslo, Inst Clin Med, NORMENT KG Jebsen Ctr, Oslo, Norway.;Diakonhjemmet Hosp, Dept Res & Dev, Oslo, Norway..
    Hilal, Saima
    Natl Univ Singapore, Dept Pharmacol, Singapore, Singapore.;Natl Univ Hlth Syst, Mem Aging & Cognit Ctr, Singapore, Singapore..
    Hofer, Edith
    Med Univ Graz, Clin Div Neurogeriatr, Dept Neurol, Graz, Austria.;Med Univ Graz, Inst Med Informat Stat & Documentat, Graz, Austria..
    Hoehn, David
    Max Planck Inst Psychiat, Dept Translat Res Psychiat, Munich, Germany..
    Holmes, Avram J.
    Massachusetts Gen Hosp, Dept Psychiat, Boston, MA 02114 USA.;Yale Univ, Dept Psychol, New Haven, CT USA..
    Hoogman, Martine
    Radboud Univ Nijmegen, Med Ctr, Dept Human Genet, Nijmegen, Netherlands.;Radboud Univ Nijmegen, Donders Inst Brain Cognit & Behav, Nijmegen, Netherlands..
    Janowitz, Deborah
    Univ Med Greifswald, Dept Psychiat, Greifswald, Germany..
    Jia, Tianye
    Kings Coll London, Inst Psychiat Psychol & Neurosci, MRC SGDP Ctr, London, England..
    Kasperaviciute, Dalia
    UCL, Inst Neurol, London, England.;Epilepsy Soc, Gerrards Cross, Bucks, England.;Imperial Coll London, Dept Med, London, England..
    Kim, Sungeun
    Indiana Univ, Sch Med, Ctr Computat Biol & Bioinformat, Indianapolis, IN USA.;Indiana Univ, Sch Med, Indiana Alzheimer Dis Ctr, Indianapolis, IN USA..
    Klein, Marieke
    Radboud Univ Nijmegen, Med Ctr, Dept Human Genet, Nijmegen, Netherlands.;Radboud Univ Nijmegen, Donders Inst Brain Cognit & Behav, Nijmegen, Netherlands..
    Kraemer, Bernd
    Heidelberg Univ, Dept Gen Psychiat, Sect Expt Psychopathol & Neuroimaging, Heidelberg, Germany..
    Lee, Phil H.
    Massachusetts Gen Hosp, Dept Psychiat, Boston, MA 02114 USA.;Massachusetts Gen Hosp, Ctr Human Genet Res, Psychiat & Neurodev Genet Unit, Boston, MA 02114 USA.;Harvard Med Sch, Boston, MA USA.;Broad Inst MIT & Harvard, Stanley Ctr Psychiat Res, Boston, MA USA.;Harvard Med Sch, Massachusetts Gen Hosp, Lurie Ctr Autism, Lexington, MA USA..
    Liao, Jiemin
    Singapore Natl Eye Ctr, Singapore Eye Res Inst, Singapore, Singapore..
    Liewald, David C. M.
    Univ Edinburgh, Ctr Cognit Ageing & Cognit Epidemiol Psychol, Edinburgh, Midlothian, Scotland..
    Lopez, Lorna M.
    Univ Edinburgh, Ctr Cognit Ageing & Cognit Epidemiol Psychol, Edinburgh, Midlothian, Scotland..
    Luciano, Michelle
    Univ Edinburgh, Ctr Cognit Ageing & Cognit Epidemiol Psychol, Edinburgh, Midlothian, Scotland..
    Macare, Christine
    Kings Coll London, Inst Psychiat Psychol & Neurosci, MRC SGDP Ctr, London, England..
    Marquand, Andre
    Radboud Univ Nijmegen, Donders Inst Brain Cognit & Behav, Nijmegen, Netherlands.;Radboud Univ Nijmegen, Donders Ctr Cognit Neuroimaging, Nijmegen, Netherlands..
    Matarin, Mar
    UCL, Inst Neurol, London, England.;Epilepsy Soc, Gerrards Cross, Bucks, England.;UCL Inst Neurol, Reta Lila Weston Inst, London, England.;UCL Inst Neurol, Dept Mol Neurosci, London, England..
    Mather, Karen A.
    Univ New South Wales, Sch Psychiat, Ctr Hlth Brain Ageing, Sydney, NSW, Australia..
    Mattheisen, Manuel
    Aarhus Univ, Dept Biomed, Aarhus, Denmark.;iPSYCH, Lundbeck Fdn Initiat Integrat Psychiat Res, Aarhus, Denmark.;iPSYCH, Lundbeck Fdn Initiat Integrat Psychiat Res, Copenhagen, Denmark.;Aarhus Univ, iSEQ, Ctr Integrated Sequencing, Aarhus, Denmark..
    Mazoyer, Bernard
    UMR5296 Univ Bordeaux, CNRS, CEA, Bordeaux, France..
    Mckay, David R.
    Yale Univ, Dept Psychiat, New Haven, CT 06520 USA.;Olin Neuropsychiat Res Ctr, Hartford, CT USA..
    McWhirter, Rebekah
    Univ Tasmania, Menzies Inst Med Res, Hobart, Tas, Australia..
    Milaneschi, Yuri
    VU Univ Med Ctr GGZ Geest, EMGO Inst Hlth & Care Res, Dept Psychiat, Amsterdam, Netherlands.;VU Univ Med Ctr GGZ Geest, Neurosci Campus Amsterdam, Amsterdam, Netherlands..
    Mirza-Schreiber, Nazanin
    Max Planck Inst Psychiat, Dept Translat Res Psychiat, Munich, Germany..
    Muetzel, Ryan L.
    Erasmus MC, Generat R Study Grp, Rotterdam, Netherlands.;Erasmus MC Sophia Childrens Hosp, Dept Child & Adolescent Psychiat Psychol, Rotterdam, Netherlands..
    Maniega, Susana Munoz
    Univ Edinburgh, Brain Res Imaging Ctr, Edinburgh, Midlothian, Scotland.;Univ Edinburgh, Dept Neuroimaging Sci, Scottish Imaging Network, Edinburgh, Midlothian, Scotland.;Univ Edinburgh, Ctr Cognit Ageing & Cognit Epidemiol Psychol, Edinburgh, Midlothian, Scotland..
    Nho, Kwangsik
    Indiana Univ, Sch Med, Ctr Neuroimaging Radiol & Imaging Sci, Indianapolis, IN USA.;Indiana Univ, Sch Med, Ctr Computat Biol & Bioinformat, Indianapolis, IN USA.;Indiana Univ, Sch Med, Indiana Alzheimer Dis Ctr, Indianapolis, IN USA..
    Nugent, Allison C.
    NIMH, Exp Therapeut & Pathophysiol Branch, Intramural Res Program, NIH, Bethesda, MD 20892 USA..
    Loohuis, Loes M. Olde
    Univ Calif Los Angeles, Ctr Neurobehav Genet, Los Angeles, CA USA..
    Oosterlaan, Jaap
    Vrije Univ Amsterdam, Dept Clin Neuropsychol, Amsterdam, Netherlands..
    Papmeyer, Martina
    Univ Edinburgh, Royal Edinburgh Hosp, Div Psychiat, Edinburgh, Midlothian, Scotland.;Univ Bern, Univ Hosp Psychiat, Translat Res Ctr, Div Syst Neurosci Psychopathol, CH-3012 Bern, Switzerland..
    Pappa, Irene
    Erasmus MC, Generat R Study Grp, Rotterdam, Netherlands.;Erasmus Univ, Sch Pedag & Educ Sci, Rotterdam, Netherlands..
    Pirpamer, Lukas
    Med Univ Graz, Clin Div Neurogeriatr, Dept Neurol, Graz, Austria..
    Pudas, Sara
    Umea Univ, Dept Integrat Med Biol, Umea, Sweden.;Umea Univ, Umea Ctr Funct Brain Imaging, Umea, Sweden..
    Puetz, Benno
    Max Planck Inst Psychiat, Dept Translat Res Psychiat, Munich, Germany..
    Rajan, Kumar B.
    Rush Univ, Med Ctr, Rush Inst Healthy Aging, Chicago, IL 60612 USA..
    Ramasamy, Adaikalavan
    UCL Inst Neurol, Reta Lila Weston Inst, London, England.;UCL Inst Neurol, Dept Mol Neurosci, London, England.;Kings Coll London, Dept Med & Mol Genet, London, England.;Univ Oxford, Jenner Inst Labs, Oxford, England..
    Richards, Jennifer S.
    Radboud Univ Nijmegen, Med Ctr, Dept Cognit Neurosci, Nijmegen, Netherlands.;Radboud Univ Nijmegen, Donders Inst Brain Cognit & Behav, Nijmegen, Netherlands.;Karakter Child & Adolescent Psychiat Univ Ctr, Nijmegen, Netherlands..
    Risacher, Shannon L.
    Indiana Univ, Sch Med, Ctr Neuroimaging Radiol & Imaging Sci, Indianapolis, IN USA.;Indiana Univ, Sch Med, Indiana Alzheimer Dis Ctr, Indianapolis, IN USA..
    Roiz-Santianez, Roberto
    Univ Cantabria IDIVAL, Sch Med, Dept Med & Psychiat, Univ Hosp Marques de Valdecilla, Santander, Spain.;CIBERSAM Ctr Invest Biomed Red Salud Med, Santander, Spain..
    Rommelse, Nanda
    Radboud Univ Nijmegen, Med Ctr, Dept Psychiat, Nijmegen, Netherlands.;Radboud Univ Nijmegen, Donders Inst Brain Cognit & Behav, Nijmegen, Netherlands.;Karakter Child & Adolescent Psychiat Univ Ctr, Nijmegen, Netherlands..
    Rose, Emma J.
    Trinity Coll Dublin, Psychosis Res Grp, Dept Psychiat, Dublin, Ireland.;Trinity Coll Dublin, Trinity Translat Med Inst, Dublin, Ireland..
    Royle, Natalie A.
    Univ Edinburgh, Brain Res Imaging Ctr, Edinburgh, Midlothian, Scotland.;Univ Edinburgh, Dept Neuroimaging Sci, Scottish Imaging Network, Edinburgh, Midlothian, Scotland.;Univ Edinburgh, Ctr Cognit Ageing & Cognit Epidemiol Psychol, Edinburgh, Midlothian, Scotland.;Univ Edinburgh, Ctr Clin Brain Sci, Edinburgh, Midlothian, Scotland..
    Rundek, Tatjana
    Univ Miami, Miller Sch Med, Dept Neurol, Miami, FL 33136 USA.;Univ Miami, Miller Sch Med, Dept Epidemiol & Publ Hlth Sci, Miami, FL 33136 USA..
    Saemann, Philipp G.
    Max Planck Inst Psychiat, Dept Translat Res Psychiat, Munich, Germany..
    Satizabal, Claudia L.
    Boston Univ, Sch Med, Dept Neurol, Boston, MA 02118 USA.;Framingham Heart Dis Epidemiol Study, Framingham, MA USA..
    Schmaal, Lianne
    Orygen, Melbourne, Vic, Australia.;Univ Melbourne, Ctr Youth Mental Hlth, Melbourne, Vic, Australia.;Vrije Univ Amsterdam, Med Ctr, Dept Psychiat, Neurosci Campus Amsterdam, Amsterdam, Netherlands..
    Schork, Andrew J.
    Univ Calif San Diego, Dept Neurosci, Multimodal Imaging Lab, San Diego, CA 92103 USA.;Univ Calif San Diego, Dept Cognit Sci, San Diego, CA 92103 USA..
    Shen, Li
    Indiana Univ, Sch Med, Ctr Neuroimaging Radiol & Imaging Sci, Indianapolis, IN USA.;Indiana Univ, Sch Med, Ctr Computat Biol & Bioinformat, Indianapolis, IN USA.;Indiana Univ, Sch Med, Indiana Alzheimer Dis Ctr, Indianapolis, IN USA..
    Shin, Jean
    Univ Toronto, Hosp Sick Children, Toronto, ON, Canada..
    Shumskaya, Elena
    Radboud Univ Nijmegen, Med Ctr, Dept Human Genet, Nijmegen, Netherlands.;Radboud Univ Nijmegen, Donders Inst Brain Cognit & Behav, Nijmegen, Netherlands.;Radboud Univ Nijmegen, Donders Ctr Cognit Neuroimaging, Nijmegen, Netherlands..
    Smith, Albert V.
    Iceland Heart Assoc, Kopavogur, Iceland.;Univ Iceland, Fac Med, Reykjavik, Iceland..
    Sprooten, Emma
    Yale Univ, Dept Psychiat, New Haven, CT 06520 USA.;Olin Neuropsychiat Res Ctr, Hartford, CT USA.;Univ Edinburgh, Royal Edinburgh Hosp, Div Psychiat, Edinburgh, Midlothian, Scotland.;Icahn Sch Med Mt Sinai, Dept Psychiat, New York, NY 10029 USA..
    Strike, Lachlan T.
    QIMR Berghofer Med Res Inst, Brisbane, Qld, Australia.;Univ Queensland, Queensland Brain Inst, Brisbane, Qld, Australia..
    Teumer, Alexander
    Univ Med Greifswald, Inst Community Med, Greifswald, Germany..
    Thomson, Russell
    Tordesillas-Gutierrez, Diana
    CIBERSAM Ctr Invest Biomed Red Salud Med, Santander, Spain.;Valdecilla Biomed Res Inst IDIVAL, Neuroimaging Unit, Technol Facil, Santander, Cantabria, Spain..
    Toro, Roberto
    Inst Pasteur, Paris, France..
    Trabzuni, Daniah
    UCL Inst Neurol, Reta Lila Weston Inst, London, England.;UCL Inst Neurol, Dept Mol Neurosci, London, England.;King Faisal Specialist Hosp & Res Ctr, Dept Genet, Riyadh, Saudi Arabia..
    Vaidya, Dhananjay
    Johns Hopkins Univ, Sch Med, Dept Med, GeneSTAR Res Ctr, Baltimore, MD 21205 USA..
    Van der Grond, Jeroen
    Leiden Univ, Med Ctr, Dept Radiol, Leiden, Netherlands..
    van der Meer, Dennis
    Univ Groningen, Univ Med Ctr Groningen, Dept Psychiat, Groningen, Netherlands..
    Van Donkelaar, Marjolein M. J.
    Radboud Univ Nijmegen, Med Ctr, Dept Human Genet, Nijmegen, Netherlands.;Radboud Univ Nijmegen, Donders Inst Brain Cognit & Behav, Nijmegen, Netherlands..
    Van Eijk, Kristel R.
    UMC Utrecht, Human Neurogenet Unit, Brain Ctr Rudolf Magnus, Utrecht, Netherlands..
    Van Erp, Theo G. M.
    Univ Calif Irvine, Dept Psychiat & Human Behav, Irvine, CA 92717 USA..
    Van Rooij, Daan
    Radboud Univ Nijmegen, Med Ctr, Dept Cognit Neurosci, Nijmegen, Netherlands.;Radboud Univ Nijmegen, Donders Inst Brain Cognit & Behav, Nijmegen, Netherlands.;Univ Groningen, Univ Med Ctr Groningen, Dept Psychiat, Groningen, Netherlands..
    Walton, Esther
    Tech Univ Dresden, Fac Med, Dept Child & Adolescent Psychiat, Dresden, Germany..
    Westlye, Lars T.
    Oslo Univ Hosp, Div Mental Hlth & Addict, NORMENT KG Jebsen Ctr, Oslo, Norway.;Univ Oslo, Dept Psychol, NORMENT KG Jebsen Ctr, Oslo, Norway..
    Whelan, Christopher D.
    Univ Southern Calif, Keck Sch Med, USC Mark & Mary Stevens Neuroimaging & Informat I, Imaging Genet Ctr, Los Angeles, CA USA.;Royal Coll Surgeons Ireland, Dublin 2, Ireland..
    Windham, Beverly G.
    Univ Mississippi, Med Ctr, Dept Med, Jackson, MS 39216 USA..
    Winkler, Anderson M.
    Yale Univ, Dept Psychiat, New Haven, CT 06520 USA.;Univ Oxford, FMRIB Ctr, Oxford, England..
    Woldehawariat, Girma
    NIMH, Exp Therapeut & Pathophysiol Branch, Intramural Res Program, NIH, Bethesda, MD 20892 USA..
    Wolf, Christiane
    Univ Wurzburg, Dept Psychiat Psychosomat & Psychotherapy, Wurzburg, Germany..
    Wolfers, Thomas
    Radboud Univ Nijmegen, Med Ctr, Dept Human Genet, Nijmegen, Netherlands.;Radboud Univ Nijmegen, Donders Inst Brain Cognit & Behav, Nijmegen, Netherlands..
    Xu, Bing
    Kings Coll London, Inst Psychiat Psychol & Neurosci, MRC SGDP Ctr, London, England..
    Yanek, Lisa R.
    Johns Hopkins Univ, Sch Med, Dept Med, GeneSTAR Res Ctr, Baltimore, MD 21205 USA..
    Yang, Jingyun
    Rush Univ, Med Ctr, Rush Alzheimers Dis Ctr, Chicago, IL 60612 USA.;Rush Univ, Med Ctr, Dept Neurol Sci, Chicago, IL 60612 USA..
    Zijdenbos, Alex
    Biospect Inc, Montreal, PQ, Canada..
    Zwiers, Marcel P.
    Radboud Univ Nijmegen, Donders Inst Brain Cognit & Behav, Nijmegen, Netherlands.;Radboud Univ Nijmegen, Donders Ctr Cognit Neuroimaging, Nijmegen, Netherlands..
    Agartz, Ingrid
    Univ Oslo, Inst Clin Med, NORMENT KG Jebsen Ctr, Oslo, Norway.;Diakonhjemmet Hosp, Dept Res & Dev, Oslo, Norway.;Karolinska Inst, Ctr Psychiat Res, Dept Clin Neurosci, Stockholm, Sweden..
    Aggarwal, Neelum T.
    Rush Univ, Med Ctr, Rush Alzheimers Dis Ctr, Chicago, IL 60612 USA.;Rush Univ, Med Ctr, Rush Inst Healthy Aging, Chicago, IL 60612 USA.;Rush Univ, Med Ctr, Dept Neurol Sci, Chicago, IL 60612 USA..
    Almasy, Laura
    Univ Texas Rio Grande Valley, Sch Med, South Texas Diabet & Obes Inst, Edinburg, TX USA.;Univ Texas Rio Grande Valley, Sch Med, South Texas Diabet & Obes Inst, Edinburg, TX USA.;Univ Texas Rio Grande Valley, Sch Med, South Texas Diabet & Obes Inst, San Antonio, TX USA.;Univ Penn, Dept Genet, Perelman Sch Med, Philadelphia, PA 19104 USA.;Childrens Hosp Philadelphia, Dept Biomed & Hlth Informat, Philadelphia, PA 19104 USA..
    Ames, David
    Royal Melbourne Hosp, Natl Ageing Res Inst, Melbourne, Vic, Australia.;Univ Melbourne, Acad Unit Psychiat Old Age, Melbourne, Vic, Australia..
    Amouyel, Philippe
    Univ Lille, RID AGE Risk Factors & Mol Determinants Aging Rel, CHU Lille, Inserm,Inst Pasteur Lille, Lille, France..
    Andreassen, Ole A.
    Univ Oslo, Inst Clin Med, NORMENT KG Jebsen Ctr, Oslo, Norway.;Oslo Univ Hosp, Div Mental Hlth & Addict, NORMENT KG Jebsen Ctr, Oslo, Norway..
    Arepalli, Sampath
    NIA, Neurogenet Lab, NIH, Bethesda, MD 20892 USA..
    Assareh, Amelia A.
    Univ New South Wales, Sch Psychiat, Ctr Hlth Brain Ageing, Sydney, NSW, Australia..
    Barral, Sandra
    Columbia Univ, Med Ctr, Taub Inst Res Alzheimers Dis & Aging Brain, New York, NY USA..
    Bastin, Mark E.
    Univ Edinburgh, Brain Res Imaging Ctr, Edinburgh, Midlothian, Scotland.;Univ Edinburgh, Dept Neuroimaging Sci, Scottish Imaging Network, Edinburgh, Midlothian, Scotland.;Univ Edinburgh, Ctr Cognit Ageing & Cognit Epidemiol Psychol, Edinburgh, Midlothian, Scotland.;Univ Edinburgh, Ctr Clin Brain Sci, Edinburgh, Midlothian, Scotland..
    Becker, Diane M.
    Johns Hopkins Univ, Sch Med, Dept Med, GeneSTAR Res Ctr, Baltimore, MD 21205 USA..
    Becker, James T.
    Univ Pittsburgh, Dept Psychiat, Pittsburgh, PA USA.;Univ Pittsburgh, Dept Neurol, Pittsburgh, PA 15260 USA.;Univ Pittsburgh, Dept Psychol, Pittsburgh, PA 15260 USA..
    Bennett, David A.
    Rush Univ, Med Ctr, Rush Alzheimers Dis Ctr, Chicago, IL 60612 USA.;Rush Univ, Med Ctr, Dept Neurol Sci, Chicago, IL 60612 USA..
    Blangero, John
    Univ Texas Rio Grande Valley, Sch Med, South Texas Diabet & Obes Inst, Edinburg, TX USA.;Univ Texas Rio Grande Valley, Sch Med, South Texas Diabet & Obes Inst, Edinburg, TX USA.;Univ Texas Rio Grande Valley, Sch Med, South Texas Diabet & Obes Inst, San Antonio, TX USA..
    van Bokhoven, Hans
    Radboud Univ Nijmegen, Med Ctr, Dept Human Genet, Nijmegen, Netherlands.;Radboud Univ Nijmegen, Donders Inst Brain Cognit & Behav, Nijmegen, Netherlands..
    Boomsma, Dorret I.
    Vrije Univ Amsterdam, Biol Psychol, Neurosci Campus Amsterdam, Amsterdam, Netherlands.;Vrije Univ Amsterdam, Med Ctr, Amsterdam, Netherlands..
    Brodaty, Henry
    Univ New South Wales, Sch Psychiat, Ctr Hlth Brain Ageing, Sydney, NSW, Australia.;UNSW, Dementia Collaborat Res Ctr Assessment & Better, Sydney, NSW, Australia..
    Brouwer, Rachel M.
    UMC Utrecht, Dept Psychiat, Brain Ctr Rudolf Magnus, Utrecht, Netherlands..
    Brunner, Han G.
    Radboud Univ Nijmegen, Med Ctr, Dept Human Genet, Nijmegen, Netherlands.;Radboud Univ Nijmegen, Donders Inst Brain Cognit & Behav, Nijmegen, Netherlands.;Maastricht Univ, Med Ctr, Dept Clin Genet, Maastricht, Netherlands..
    Buckner, Randy L.
    Massachusetts Gen Hosp, Dept Psychiat, Boston, MA 02114 USA.;Harvard Univ, Dept Psychol, Ctr Brain Sci, 33 Kirkland St, Cambridge, MA 02138 USA..
    Buitelaar, Jan K.
    Radboud Univ Nijmegen, Med Ctr, Dept Cognit Neurosci, Nijmegen, Netherlands.;Radboud Univ Nijmegen, Donders Inst Brain Cognit & Behav, Nijmegen, Netherlands.;Karakter Child & Adolescent Psychiat Univ Ctr, Nijmegen, Netherlands..
    Bulayeva, Kazima B.
    Dagestan State Univ, Dept Evolut & Genet, Makhachkala, Dagestan, Russia..
    Cahn, Wiepke
    UMC Utrecht, Dept Psychiat, Brain Ctr Rudolf Magnus, Utrecht, Netherlands..
    Calhoun, Vince D.
    Mind Res Network, Albuquerque, NM USA.;LBERI, Albuquerque, NM USA.;Univ New Mexico, Dept ECE, Albuquerque, NM 87131 USA..
    Cannon, Dara M.
    NIMH, Exp Therapeut & Pathophysiol Branch, Intramural Res Program, NIH, Bethesda, MD 20892 USA.;Natl Univ Ireland Galway, Ctr Neuroimaging & Cognit Genom NICOG, NCBES Galway Neurosci Ctr, Coll Med Nursing & Hlth Sci,Clin Neuroimaging Lab, Galway, Ireland..
    Cavalleri, Gianpiero L.
    Royal Coll Surgeons Ireland, Dublin 2, Ireland..
    Chen, Christopher
    Natl Univ Singapore, Dept Pharmacol, Singapore, Singapore.;Natl Univ Hlth Syst, Mem Aging & Cognit Ctr, Singapore, Singapore..
    Cheng, Ching -Yu
    Singapore Natl Eye Ctr, Singapore Eye Res Inst, Singapore, Singapore.;Duke NUS Grad Med Sch, Acad Med Res Inst, Singapore, Singapore.;Natl Univ Singapore, Yong Loo Lin Sch Med, Dept Ophthalmol, Singapore, Singapore..
    Cichon, Sven
    Univ Basel, Dept Biomed, Div Med Genet, Basel, Switzerland.;Univ Bonn, Inst Human Genet, Bonn, Germany.;Res Ctr Julich, Inst Neurosci & Med INM1, Julich, Germany..
    Cookson, Mark R.
    NIA, Neurogenet Lab, NIH, Bethesda, MD 20892 USA..
    Corvin, Aiden
    Trinity Coll Dublin, Psychosis Res Grp, Dept Psychiat, Dublin, Ireland.;Trinity Coll Dublin, Trinity Translat Med Inst, Dublin, Ireland..
    Crespo-Facorro, Benedicto
    Univ Cantabria IDIVAL, Sch Med, Dept Med & Psychiat, Univ Hosp Marques de Valdecilla, Santander, Spain.;CIBERSAM Ctr Invest Biomed Red Salud Med, Santander, Spain..
    Curran, Joanne E.
    Univ Texas Rio Grande Valley, Sch Med, South Texas Diabet & Obes Inst, Edinburg, TX USA.;Univ Texas Rio Grande Valley, Sch Med, South Texas Diabet & Obes Inst, Edinburg, TX USA.;Univ Texas Rio Grande Valley, Sch Med, South Texas Diabet & Obes Inst, San Antonio, TX USA..
    Czisch, Michael
    Max Planck Inst Psychiat, Dept Translat Res Psychiat, Munich, Germany..
    Dale, Anders M.
    Univ Calif San Diego, Ctr Multimodal Imaging & Genet, San Diego, CA 92103 USA.;Univ Calif San Diego, Dept Neurosci, San Diego, CA 92103 USA.;Univ Calif San Diego, Dept Radiol, San Diego, CA 92103 USA.;Univ Calif San Diego, Dept Psychiat, San Diego, CA 92103 USA.;Univ Calif San Diego, Dept Cognit Sci, San Diego, CA 92103 USA..
    Davies, Gareth E.
    Avera Inst Human Genet, Sioux Falls, SD USA.;Brigham & Womens Hosp, Dept Neurol, Program Translat NeuroPsychiat Gen, 75 Francis St, Boston, MA 02115 USA.;Brigham & Womens Hosp, Dept Psychiat, 75 Francis St, Boston, MA 02115 USA.;Harvard Med Sch, Boston, MA USA.;Broad Inst, Program Med & Populat Genet, Cambridge, MA USA..
    De Geus, Eco J. C.
    Vrije Univ Amsterdam, Biol Psychol, Neurosci Campus Amsterdam, Amsterdam, Netherlands.;Vrije Univ Amsterdam, Med Ctr, Amsterdam, Netherlands..
    De Jager, Philip L.
    Harvard Med Sch, Boston, MA USA.;Broad Inst, Program Med & Populat Genet, Cambridge, MA USA.;Broad Inst, Cambridge, MA USA..
    de Zubicaray, Greig I.
    Queensland Univ Technol, Fac Hlth, Brisbane, Qld, Australia.;Queensland Univ Technol, Inst Hlth & Biomed Innovat, Brisbane, Qld, Australia..
    Delanty, Norman
    Royal Coll Surgeons Ireland, Dublin 2, Ireland.;Beaumont Hosp, Div Neurol, Dublin 9, Ireland..
    Depondt, Chantal
    Univ Libre Bruxelles, Hop Erasme, Dept Neurol, Brussels, Belgium..
    DeStefano, Anita L.
    Framingham Heart Dis Epidemiol Study, Framingham, MA USA.;Haukeland Hosp, Ctr Med Genet & Mol Med, Dr Einar Martens Res Grp Biol Psychiat, Bergen, Norway..
    Dillman, Allissa
    NIA, Neurogenet Lab, NIH, Bethesda, MD 20892 USA..
    Djurovic, Srdjan
    Univ Bergen, Dept Clin Sci, NORMENT KG Jebsen Ctr Psychosis Res, N-5020 Bergen, Norway.;Oslo Univ Hosp, Dept Med Genet, Oslo, Norway..
    Donohoe, Gary
    Natl Univ Ireland Galway, Cognit Genet & Cognit Therapy Grp, Neuroimaging Cognit & Genom Ctr NICOG, Galway, Ireland.;Natl Univ Ireland Galway, NCBES Galway Neurosci Ctr, Sch Psychol, Galway, Ireland.;Natl Univ Ireland Galway, Discipline Biochem, Galway, Ireland.;Trinity Coll Dublin, Dept Psychiat, Neuropsychiat Genet Res Grp, Dublin 8, Ireland.;Trinity Coll Dublin, Inst Psychiat, Dublin 8, Ireland..
    Drevets, Wayne C.
    NIMH, Exp Therapeut & Pathophysiol Branch, Intramural Res Program, NIH, Bethesda, MD 20892 USA.;Janssen Res & Dev LLC, Titusville, NJ USA..
    Duggirala, Ravi
    Univ Texas Rio Grande Valley, Sch Med, South Texas Diabet & Obes Inst, Edinburg, TX USA.;Univ Texas Rio Grande Valley, Sch Med, South Texas Diabet & Obes Inst, Edinburg, TX USA.;Univ Texas Rio Grande Valley, Sch Med, South Texas Diabet & Obes Inst, San Antonio, TX USA..
    Dyer, Thomas D.
    Univ Texas Rio Grande Valley, Sch Med, South Texas Diabet & Obes Inst, Edinburg, TX USA.;Univ Texas Rio Grande Valley, Sch Med, South Texas Diabet & Obes Inst, Edinburg, TX USA.;Univ Texas Rio Grande Valley, Sch Med, South Texas Diabet & Obes Inst, San Antonio, TX USA..
    Erk, Susanne
    Charite, CCM, Dept Psychiat & Psychotherapy, Berlin, Germany..
    Espeseth, Thomas
    Oslo Univ Hosp, Div Mental Hlth & Addict, NORMENT KG Jebsen Ctr, Oslo, Norway.;Univ Oslo, Dept Psychol, NORMENT KG Jebsen Ctr, Oslo, Norway..
    Evans, Denis A.
    Rush Univ, Med Ctr, Rush Inst Healthy Aging, Chicago, IL 60612 USA..
    Fedko, Iryna
    Vrije Univ Amsterdam, Biol Psychol, Neurosci Campus Amsterdam, Amsterdam, Netherlands.;Vrije Univ Amsterdam, Med Ctr, Amsterdam, Netherlands..
    Fernandez, Guillen
    Radboud Univ Nijmegen, Med Ctr, Dept Cognit Neurosci, Nijmegen, Netherlands.;Radboud Univ Nijmegen, Donders Inst Brain Cognit & Behav, Nijmegen, Netherlands..
    Ferrucci, Luigi
    NIA, Intramural Res Program, Baltimore, MD 21224 USA..
    Fisher, Simon E.
    Radboud Univ Nijmegen, Donders Inst Brain Cognit & Behav, Nijmegen, Netherlands.;Max Planck Inst Psycholinguist, Language & Genet Dept, Nijmegen, Netherlands..
    Fleischman, Debra A.
    Rush Univ, Med Ctr, Rush Alzheimers Dis Ctr, Chicago, IL 60612 USA.;Rush Univ, Med Ctr, Dept Neurol Sci, Chicago, IL 60612 USA.;Rush Univ, Med Ctr, Dept Behav Sci, Chicago, IL 60612 USA..
    Ford, Ian
    Univ Glasgow, Robertson Ctr Biostat, Glasgow, Lanark, Scotland..
    Foroud, Tatiana M.
    Indiana Univ, Sch Med, Ctr Computat Biol & Bioinformat, Indianapolis, IN USA.;Indiana Univ, Sch Med, Med & Mol Genet, Indianapolis, IN USA..
    Fox, Peter T.
    Univ Texas Hlth Sci Ctr San Antonio, San Antonio, TX 78229 USA..
    Francks, Clyde
    Radboud Univ Nijmegen, Donders Inst Brain Cognit & Behav, Nijmegen, Netherlands.;Max Planck Inst Psycholinguist, Language & Genet Dept, Nijmegen, Netherlands..
    Fukunaga, Masaki
    Natl Inst Physiol Sci, Div Cerebral Integrat, Aichi, Japan..
    Gibbs, J. Raphael
    UCL Inst Neurol, Reta Lila Weston Inst, London, England.;UCL Inst Neurol, Dept Mol Neurosci, London, England.;NIA, Neurogenet Lab, NIH, Bethesda, MD 20892 USA..
    Glahn, David C.
    Yale Univ, Dept Psychiat, New Haven, CT 06520 USA.;Olin Neuropsychiat Res Ctr, Hartford, CT USA..
    Gollub, Randy L.
    Massachusetts Gen Hosp, Dept Psychiat, Boston, MA 02114 USA.;Massachusetts Gen Hosp, Martinos Ctr Biomed Imaging, Charlestown, MA USA.;Harvard Med Sch, Boston, MA USA..
    Goring, Harald H. H.
    Univ Texas Rio Grande Valley, Sch Med, South Texas Diabet & Obes Inst, Edinburg, TX USA.;Univ Texas Rio Grande Valley, Sch Med, South Texas Diabet & Obes Inst, Edinburg, TX USA.;Univ Texas Rio Grande Valley, Sch Med, South Texas Diabet & Obes Inst, San Antonio, TX USA..
    Grabe, Hans J.
    Univ Med Greifswald, Dept Psychiat, Greifswald, Germany..
    Green, Robert C.
    Harvard Med Sch, Boston, MA USA.;Brigham & Womens Hosp, Dept Med, Div Genet, 75 Francis St, Boston, MA 02115 USA..
    Gruber, Oliver
    Heidelberg Univ, Dept Gen Psychiat, Sect Expt Psychopathol & Neuroimaging, Heidelberg, Germany..
    Gudnason, Vilmundur
    Iceland Heart Assoc, Kopavogur, Iceland.;Univ Iceland, Fac Med, Reykjavik, Iceland..
    Guelfi, Sebastian
    UCL Inst Neurol, Reta Lila Weston Inst, London, England.;UCL Inst Neurol, Dept Mol Neurosci, London, England..
    Hansell, Narelle K.
    QIMR Berghofer Med Res Inst, Brisbane, Qld, Australia.;Univ Queensland, Queensland Brain Inst, Brisbane, Qld, Australia..
    Hardy, John
    UCL Inst Neurol, Reta Lila Weston Inst, London, England.;UCL Inst Neurol, Dept Mol Neurosci, London, England..
    Hartman, Catharina A.
    Univ Groningen, Univ Med Ctr Groningen, Dept Psychiat, Groningen, Netherlands..
    Hashimoto, Ryota
    Osaka Univ, Grad Sch Med, Dept Psychiat, Osaka, Japan.;Osaka Univ, United Grad Sch Child Dev, Mol Res Ctr Childrens Mental Dev, Osaka, Japan..
    Hegenscheid, Katrin
    Univ Med Greifswald, Inst Diagnost Radiol & Neuroradiol, Greifswald, Germany..
    Heinz, Andreas
    Charite, CCM, Dept Psychiat & Psychotherapy, Berlin, Germany..
    Le Hellard, Stephanie
    Univ Bergen, Dept Clin Sci, NORMENT KG Jebsen Ctr Psychosis Res, N-5020 Bergen, Norway.;Haukeland Hosp, Ctr Med Genet & Mol Med, Dr Einar Martens Res Grp Biol Psychiat, Bergen, Norway..
    Hernandez, Dena G.
    UCL Inst Neurol, Reta Lila Weston Inst, London, England.;UCL Inst Neurol, Dept Mol Neurosci, London, England.;NIA, Neurogenet Lab, NIH, Bethesda, MD 20892 USA.;German Ctr Neurodegenerat Dis DZNE, Tubingen, Germany..
    Heslenfeld, Dirk J.
    Vrije Univ Amsterdam, Dept Psychol, Amsterdam, Netherlands..
    Ho, Beng-Choon
    Univ Iowa, Dept Psychiat, Iowa City, IA 52242 USA..
    Hoekstra, Pieter J.
    Univ Groningen, Univ Med Ctr Groningen, Dept Psychiat, Groningen, Netherlands..
    Hoffmann, Wolfgang
    German Ctr Neurodegenerat Dis DZNE Rostock Greifs, Greifswald, Germany.;Univ Med Greifswald, Inst Community Med, Greifswald, Germany..
    Hofman, Albert
    Erasmus MC, Dept Epidemiol, Rotterdam, Netherlands..
    Holsboer, Florian
    Max Planck Inst Psychiat, Dept Translat Res Psychiat, Munich, Germany.;HMNC Brain Hlth, Munich, Germany..
    Homuth, Georg
    Univ Med Greifswald, Interfac Inst Genet & Funct Gen, Greifswald, Germany..
    Hosten, Norbert
    Univ Med Greifswald, Inst Diagnost Radiol & Neuroradiol, Greifswald, Germany..
    Hottenga, Jouke-Jan
    Vrije Univ Amsterdam, Biol Psychol, Neurosci Campus Amsterdam, Amsterdam, Netherlands.;Vrije Univ Amsterdam, Med Ctr, Amsterdam, Netherlands..
    Pol, Hilleke E. Hulshoff
    UMC Utrecht, Dept Psychiat, Brain Ctr Rudolf Magnus, Utrecht, Netherlands..
    Ikeda, Masashi
    Fujita Hlth Univ, Sch Med, Dept Psychiat, Toyoake, Aichi, Japan..
    Ikram, M. Kamran
    Erasmus MC, Dept Epidemiol, Rotterdam, Netherlands.;Natl Univ Singapore, Dept Pharmacol, Singapore, Singapore.;Natl Univ Hlth Syst, Mem Aging & Cognit Ctr, Singapore, Singapore.;Singapore Natl Eye Ctr, Singapore Eye Res Inst, Singapore, Singapore.;Duke NUS Grad Med Sch, Acad Med Res Inst, Singapore, Singapore..
    Jack, Clifford R., Jr.
    Mayo Clin, Dept Radiol, Rochester, MN USA..
    Jenldnson, Mark
    Univ Oxford, FMRIB Ctr, Oxford, England..
    Johnson, Robert
    Univ Maryland, Sch Med, NICHD Brain & Tissue Bank Dev Disorders, Baltimore, MD 21201 USA..
    Jonsson, Erik G.
    Univ Oslo, Inst Clin Med, NORMENT KG Jebsen Ctr, Oslo, Norway.;Univ Oxford, FMRIB Ctr, Oxford, England..
    Jukema, J. Wouter
    Leiden Univ, Med Ctr, Dept Cardiol, Leiden, Netherlands..
    Kahn, Rene S.
    UMC Utrecht, Dept Psychiat, Brain Ctr Rudolf Magnus, Utrecht, Netherlands..
    Kanai, Ryota
    Univ Sussex, Sch Psychol, Brighton, E Sussex, England.;UCL, Inst Cognit Neurosci, London, England.;Araya Brain Imaging, Dept Neuroinformat, Tokyo, Japan..
    Kloszewska, Iwona
    Med Univ Lodz, Lodz, Poland..
    Knopman, David S.
    Mayo Clin, Dept Neurol, Rochester, MN USA..
    Kochunov, Peter
    Univ Maryland, Sch Med, Maryland Psychiat Res Ctr, Dept Psychiat, Baltimore, MD 21201 USA..
    Kwok, John B.
    Neurosci Res Australia, Sydney, NSW, Australia.;UNSW, Sch Med Sci, Sydney, NSW, Australia..
    Lawrie, Stephen M.
    Univ Edinburgh, Royal Edinburgh Hosp, Div Psychiat, Edinburgh, Midlothian, Scotland..
    Lemaitre, Herve
    Univ Paris Sud, Univ Paris Descartes, NSERM Unit Neuroimaging & Psychiat 1000, Paris, France.;Hosp Cochin, AP HP, Maison Solenn Adolescent Psychopathol & Med Dept, Paris, France..
    Liu, Xinmin
    NIMH, Exp Therapeut & Pathophysiol Branch, Intramural Res Program, NIH, Bethesda, MD 20892 USA.;Columbia Univ, Med Ctr, New York, NY USA..
    Longo, Dan L.
    NIA, Genet Lab, NIH, Baltimore, MD 21224 USA..
    Longstreth, W. T., Jr.
    Univ Washington, Dept Neurol, Seattle, WA 98195 USA.;Univ Washington, Dept Epidemiol, Seattle, WA 98195 USA..
    Lopez, Oscar L.
    Univ Pittsburgh, Dept Neurol, Pittsburgh, PA 15260 USA.;Univ Pittsburgh, Dept Psychiat, Pittsburgh, PA USA..
    Lovestone, Simon
    Univ Oxford, Dept Psychiat, Oxford, England.;Kings Coll London, NIHR Dementia Biomed Res Unit, London, England..
    Martinez, Oliver
    Univ Calif Davis, Dept Neurol, Imaging Dementia & Aging IDeA Lab, Sacramento, CA 95817 USA.;Univ Calif Davis, Ctr Neurosci, Sacramento, CA 95817 USA..
    Martinot, Jean-Luc
    Univ Paris Sud, Univ Paris Descartes, NSERM Unit Neuroimaging & Psychiat 1000, Paris, France.;Hosp Cochin, AP HP, Maison Solenn Adolescent Psychopathol & Med Dept, Paris, France..
    Mattay, Venkata S.
    Lieber Inst Brain Dev, Baltimore, MD USA.;Johns Hopkins Univ, Sch Med, Dept Neurol, Baltimore, MD 21205 USA.;Johns Hopkins Univ, Sch Med, Dept Radiol, Baltimore, MD 21205 USA..
    McDonald, Colm
    Natl Univ Ireland Galway, Ctr Neuroimaging & Cognit Genom NICOG, NCBES Galway Neurosci Ctr, Coll Med Nursing & Hlth Sci,Clin Neuroimaging Lab, Galway, Ireland..
    McIntosh, Andrew M.
    Univ Edinburgh, Ctr Cognit Ageing & Cognit Epidemiol Psychol, Edinburgh, Midlothian, Scotland.;Univ Edinburgh, Royal Edinburgh Hosp, Div Psychiat, Edinburgh, Midlothian, Scotland..
    McMahon, Katie L.
    Univ Queensland, Ctr Adv Imaging, Brisbane, Qld, Australia..
    McMahon, Francis J.
    NIMH, Exp Therapeut & Pathophysiol Branch, Intramural Res Program, NIH, Bethesda, MD 20892 USA..
    Mecocci, Patrizia
    Univ Perugia, Dept Med, Sect Gerontol & Geriatr, Perugia, Italy..
    Melle, Ingrid
    Univ Oslo, Inst Clin Med, NORMENT KG Jebsen Ctr, Oslo, Norway.;Oslo Univ Hosp, Div Mental Hlth & Addict, NORMENT KG Jebsen Ctr, Oslo, Norway..
    Meyer-Lindenberg, Andreas
    Heidelberg Univ, Med Fac Mannheim, Cent Inst Mental Hlth, Mannheim, Germany..
    Mohnke, Sebastian
    Charite, CCM, Dept Psychiat & Psychotherapy, Berlin, Germany..
    Montgomery, Grant W.
    QIMR Berghofer Med Res Inst, Brisbane, Qld, Australia..
    Morris, Derek W.
    Natl Univ Ireland Galway, Cognit Genet & Cognit Therapy Grp, Neuroimaging Cognit & Genom Ctr NICOG, Galway, Ireland.;Natl Univ Ireland Galway, NCBES Galway Neurosci Ctr, Sch Psychol, Galway, Ireland.;Natl Univ Ireland Galway, Discipline Biochem, Galway, Ireland.;Trinity Coll Dublin, Dept Psychiat, Neuropsychiat Genet Res Grp, Dublin 8, Ireland.;Trinity Coll Dublin, Inst Psychiat, Dublin 8, Ireland..
    Mosley, Thomas H.
    Univ Mississippi, Med Ctr, Dept Med, Jackson, MS 39216 USA..
    Muhleisen, Thomas W.
    Natl Univ Ireland Galway, Ctr Neuroimaging & Cognit Genom NICOG, NCBES Galway Neurosci Ctr, Coll Med Nursing & Hlth Sci,Clin Neuroimaging Lab, Galway, Ireland.;Res Ctr Julich, Inst Neurosci & Med INM1, Julich, Germany..
    Mueller-Myhsok, Bertram
    Max Planck Inst Psychiat, Dept Translat Res Psychiat, Munich, Germany.;Munich Cluster Syst Neurol SyNergy, Munich, Germany.;Univ Liverpool, Inst Translat Med, Liverpool, Merseyside, England..
    Nalls, Michael A.
    NIA, Neurogenet Lab, NIH, Bethesda, MD 20892 USA..
    Nauck, Matthias
    Univ Med Greifswald, Inst Clin Chem & Lab Med, Greifswald, Germany.;German Ctr Cardiovasc Res DZHK eV, Partner Site Greifswald, Berlin, Germany..
    Nichols, Thomas E.
    Univ Oxford, FMRIB Ctr, Oxford, England.;Univ Warwick, Dept Stat, Coventry, W Midlands, England.;Univ Warwick, Warwick Mfg Grp, Coventry, W Midlands, England..
    Niessen, Wiro J.
    Erasmus MC, Dept Radiol & Nucl Med, Rotterdam, Netherlands.;Erasmus MC, Dept Med Informat, Rotterdam, Netherlands.;Delft Univ Technol, Fac Sci Appl, Delft, Netherlands..
    Noethen, Markus M.
    Univ Bonn, Inst Human Genet, Bonn, Germany.;Univ Bonn, Life & Brain Ctr, Dept Genom, Bonn, Germany..
    Nyberg, Lars
    Umea Univ, Dept Integrat Med Biol, Umea, Sweden.;Umea Univ, Umea Ctr Funct Brain Imaging, Umea, Sweden..
    Ohi, Kazutaka
    Osaka Univ, Grad Sch Med, Dept Psychiat, Osaka, Japan..
    Olvera, Rene L.
    Univ Texas Hlth Sci Ctr San Antonio, San Antonio, TX 78229 USA..
    Ophoff, Roel A.
    UMC Utrecht, Dept Psychiat, Brain Ctr Rudolf Magnus, Utrecht, Netherlands.;Univ Calif Los Angeles, Ctr Neurobehav Genet, Los Angeles, CA USA..
    Pandolfo, Massimo
    Univ Libre Bruxelles, Hop Erasme, Dept Neurol, Brussels, Belgium..
    Paus, Tomas
    Univ Toronto, Rotman Res Inst, Toronto, ON, Canada.;Univ Toronto, Dept Psychol, Toronto, ON M5S 1A1, Canada.;Univ Toronto, Dept Psychiat, Toronto, ON M5S 1A1, Canada.;Child Mind Inst, New York, NY USA..
    Pausova, Zdenka
    Univ Toronto, Hosp Sick Children, Toronto, ON, Canada.;Univ Toronto, Dept Phys, Toronto, ON, Canada.;Univ Toronto, Dept Nutr Sci, Toronto, ON, Canada..
    Penninx, Brenda W. J. H.
    Vrije Univ Amsterdam, Med Ctr, Dept Psychiat, Neurosci Campus Amsterdam, Amsterdam, Netherlands..
    Pike, G. Bruce
    Univ Calgary, Dept Radiol, Calgary, AB, Canada.;Univ Calgary, Dept Clin Neurosci, Calgary, AB, Canada..
    Potkin, Steven G.
    Univ Calif Irvine, Dept Psychiat & Human Behav, Irvine, CA 92717 USA..
    Psaty, Bruce M.
    Univ Washington, Dept Epidemiol, Seattle, WA 98195 USA.;Univ Washington, Dept Med, Seattle, WA USA.;Univ Washington, Dept Hlth Serv, Seattle, WA 98195 USA.;Grp Hlth Res Inst, Grp Hlth, Seattle, WA USA..
    Reppermund, Simone
    Univ New South Wales, Sch Psychiat, Ctr Hlth Brain Ageing, Sydney, NSW, Australia.;UNSW Med, Sch Psychiat, Dept Dev Disabil Neuropsychiat, Kensington, NSW, Australia..
    Rietschel, Marcella
    Heidelberg Univ, Med Fac Mannheim, Cent Inst Mental Hlth, Mannheim, Germany..
    Roffman, Joshua L.
    Massachusetts Gen Hosp, Dept Psychiat, Boston, MA 02114 USA..
    Romanczuk-Seiferth, Nina
    Charite, CCM, Dept Psychiat & Psychotherapy, Berlin, Germany..
    Rotter, Jerome I.
    Univ Calif Los Angeles, Med Ctr, Ilnst Translat Genom & Populat Sci, Los Angeles Biomed Res Inst & Pediat Harbor, Torrance, CA 90509 USA..
    Ryten, Mina
    UCL Inst Neurol, Reta Lila Weston Inst, London, England.;UCL Inst Neurol, Dept Mol Neurosci, London, England.;Kings Coll London, Dept Med & Mol Genet, London, England..
    Sacco, Ralph L.
    Univ Miami, Miller Sch Med, John P Hussman Inst Human Gen, Miami, FL 33136 USA.;Univ Miami, Miller Sch Med, Dept Neurol, Miami, FL 33136 USA.;Univ Miami, Miller Sch Med, Dept Epidemiol & Publ Hlth Sci, Miami, FL 33136 USA.;Univ Miami, Miller Sch Med, Evelyn F McKnight Brain Inst, Miami, FL 33136 USA..
    Sachdev, Perminder S.
    Univ New South Wales, Sch Psychiat, Ctr Hlth Brain Ageing, Sydney, NSW, Australia.;Prince Wales Hosp, Neuropsychiat Inst, Sydney, NSW, Australia..
    Saykin, Andrew J.
    Indiana Univ, Sch Med, Ctr Neuroimaging Radiol & Imaging Sci, Indianapolis, IN USA.;Indiana Univ, Sch Med, Indiana Alzheimer Dis Ctr, Indianapolis, IN USA.;Indiana Univ, Sch Med, Med & Mol Genet, Indianapolis, IN USA..
    Schmidt, Reinhold
    Med Univ Graz, Clin Div Neurogeriatr, Dept Neurol, Graz, Austria..
    Schofield, Peter R.
    Neurosci Res Australia, Sydney, NSW, Australia.;UNSW, Sch Med Sci, Sydney, NSW, Australia..
    Sigurdsson, Sigurdur
    Iceland Heart Assoc, Kopavogur, Iceland..
    Simmons, Andy
    Kings Coll London, Inst Psychiat, Dept Neuroimaging, London, England.;Kings Coll London, Biomed Res Ctr Mental Hlth, London, England.;Kings Coll London, Biomed Res Unit Dementia, London, England..
    Singleton, Andrew
    NIA, Neurogenet Lab, NIH, Bethesda, MD 20892 USA..
    Sisodiya, Sanjay M.
    UCL, Inst Neurol, London, England.;Epilepsy Soc, Gerrards Cross, Bucks, England..
    Smith, Colin
    Univ Edinburgh, Acad Dept Neuropathol, Ctr Clin Brain Sci, MRC Edinburgh Brain Bank, Edinburgh, Midlothian, Scotland..
    Smoller, Jordan W.
    Massachusetts Gen Hosp, Dept Psychiat, Boston, MA 02114 USA.;Massachusetts Gen Hosp, Ctr Human Genet Res, Psychiat & Neurodev Genet Unit, Boston, MA 02114 USA.;Harvard Med Sch, Boston, MA USA.;Broad Inst MIT & Harvard, Stanley Ctr Psychiat Res, Boston, MA USA..
    Soininen, Hindu.
    Univ Eastern Finland, Inst Clin Med Neurol, Kuopio, Finland.;Kuopio Univ Hosp, Neuroctr Neurol, Kuopio, Finland..
    Srikanth, Velandai
    Peninsula Hlth & Monash Univ, Dept Med, Melbourne, Vic, Australia..
    Steen, Vidar M.
    Univ Bergen, Dept Clin Sci, NORMENT KG Jebsen Ctr Psychosis Res, N-5020 Bergen, Norway.;Haukeland Hosp, Ctr Med Genet & Mol Med, Dr Einar Martens Res Grp Biol Psychiat, Bergen, Norway..
    Stott, David J.
    Univ Glasgow, Fac Med, Inst Cardiovasc & Med Sci, Glasgow, Lanark, Scotland..
    Sussmann, Jessika E.
    Univ Edinburgh, Royal Edinburgh Hosp, Div Psychiat, Edinburgh, Midlothian, Scotland..
    Thalamuthu, Anbupalam
    Univ New South Wales, Sch Psychiat, Ctr Hlth Brain Ageing, Sydney, NSW, Australia..
    Tiemeier, Henning
    Erasmus MC, Dept Epidemiol, Rotterdam, Netherlands.;Erasmus MC Sophia Childrens Hosp, Dept Child & Adolescent Psychiat Psychol, Rotterdam, Netherlands..
    Toga, Arthur W.
    Univ Southern Calif, Keck Sch Med, Inst Neuroimaging & Informat, Lab Neuro Imaging, Los Angeles, CA USA..
    Traynor, Bryan J.
    NIA, Neurogenet Lab, NIH, Bethesda, MD 20892 USA..
    Troncoso, Juan
    Johns Hopkins Univ, Brain Resource Ctr, Baltimore, MD USA..
    Turner, Jessica A.
    Georgia State Univ, Atlanta, GA 30303 USA..
    Tzourio, Christophe
    Univ Bordeaux, Institute Neurodegenerat Disorders, CEA, CNRS,UMR 5293, Bordeaux, France..
    Uitterlinden, Andre G.
    Erasmus MC, Dept Epidemiol, Rotterdam, Netherlands.;Erasmus MC, Dept Internal Med, Rotterdam, Netherlands..
    Hernandez, Maria C. Valdes
    Univ Edinburgh, Brain Res Imaging Ctr, Edinburgh, Midlothian, Scotland.;Univ Edinburgh, Dept Neuroimaging Sci, Scottish Imaging Network, Edinburgh, Midlothian, Scotland.;Univ Edinburgh, Ctr Cognit Ageing & Cognit Epidemiol Psychol, Edinburgh, Midlothian, Scotland.;Univ Edinburgh, Ctr Clin Brain Sci, Edinburgh, Midlothian, Scotland..
    Van der Brug, Marcel
    Genentech Inc, San Francisco, CA 94080 USA..
    Van der Lugt, Aad
    Erasmus MC, Dept Radiol & Nucl Med, Rotterdam, Netherlands..
    Van der Wee, Nic J. A.
    Leiden Univ, Med Ctr, Dept Psychiat, Leiden, Netherlands.;Leiden Univ, Med Ctr, Leiden Inst Brain & Cognit, Leiden, Netherlands..
    Van Duijn, Cornelia M.
    Erasmus MC, Dept Epidemiol, Rotterdam, Netherlands..
    Van Haren, Neeltje E. M.
    UMC Utrecht, Dept Psychiat, Brain Ctr Rudolf Magnus, Utrecht, Netherlands..
    Van't Ent, Dennis
    Vrije Univ Amsterdam, Biol Psychol, Neurosci Campus Amsterdam, Amsterdam, Netherlands.;Vrije Univ Amsterdam, Med Ctr, Amsterdam, Netherlands..
    Van Tol, Marie Jose
    Univ Groningen, Univ Med Ctr Groningen, Neuroimaging Ctr, Groningen, Netherlands..
    Vardarajan, Badri N.
    Columbia Univ, Med Ctr, Taub Inst Res Alzheimers Dis & Aging Brain, New York, NY USA..
    Veltman, Dick J.
    Vrije Univ Amsterdam, Med Ctr, Dept Psychiat, Neurosci Campus Amsterdam, Amsterdam, Netherlands..
    Vernooij, Meike W.
    Erasmus MC, Dept Epidemiol, Rotterdam, Netherlands.;Erasmus MC, Dept Radiol & Nucl Med, Rotterdam, Netherlands..
    Voelzke, Henry
    Univ Med Greifswald, Inst Community Med, Greifswald, Germany..
    Walter, Henrik
    Charite, CCM, Dept Psychiat & Psychotherapy, Berlin, Germany..
    Wardlaw, Joanna M.
    Univ Edinburgh, Brain Res Imaging Ctr, Edinburgh, Midlothian, Scotland.;Univ Edinburgh, Dept Neuroimaging Sci, Scottish Imaging Network, Edinburgh, Midlothian, Scotland.;Univ Edinburgh, Ctr Cognit Ageing & Cognit Epidemiol Psychol, Edinburgh, Midlothian, Scotland.;Univ Edinburgh, Ctr Clin Brain Sci, Edinburgh, Midlothian, Scotland..
    Wassink, Thomas H.
    Univ Iowa, Dept Psychiat, Carver Coll Med, Iowa City, IA 52242 USA..
    Weale, Michael E.
    Kings Coll London, Dept Med & Mol Genet, London, England..
    Weinberger, Daniel R.
    Lieber Inst Brain Dev, Baltimore, MD USA.;Johns Hopkins Univ, Sch Med, Dept Psychiat, Baltimore, MD 21205 USA.;Johns Hopkins Univ, Sch Med, Dept Neurol, Baltimore, MD 21205 USA.;Johns Hopkins Univ, Sch Med, Dept Neurosci, Baltimore, MD 21205 USA.;Johns Hopkins Univ, Sch Med, Inst Med Genet, Baltimore, MD USA..
    Weiner, Michael W.
    Univ Calif San Francisco, San Francisco VA Med Ctr, Ctr Imaging Neurodegenerat Dis, San Francisco, CA 94143 USA..
    Wen, Wei
    Univ New South Wales, Sch Psychiat, Ctr Hlth Brain Ageing, Sydney, NSW, Australia..
    Westman, Eric
    Karolinska Inst, Dept Neurobiol Care Sci & Soc, Stockholm, Sweden..
    White, Tonya
    Erasmus MC, Dept Radiol & Nucl Med, Rotterdam, Netherlands.;Erasmus MC Sophia Childrens Hosp, Dept Child & Adolescent Psychiat Psychol, Rotterdam, Netherlands..
    Wong, Tien Y.
    Singapore Natl Eye Ctr, Singapore Eye Res Inst, Singapore, Singapore.;Dagestan State Univ, Dept Evolut & Genet, Makhachkala, Dagestan, Russia.;Natl Univ Singapore, Yong Loo Lin Sch Med, Dept Ophthalmol, Singapore, Singapore..
    Wright, Clinton B.
    Univ Miami, Miller Sch Med, Dept Neurol, Miami, FL 33136 USA.;Univ Miami, Miller Sch Med, Dept Epidemiol & Publ Hlth Sci, Miami, FL 33136 USA.;Univ Miami, Miller Sch Med, Evelyn F McKnight Brain Inst, Miami, FL 33136 USA..
    Zielke, H. Ronald
    Univ Maryland, Sch Med, NICHD Brain & Tissue Bank Dev Disorders, Baltimore, MD 21201 USA..
    Zonderman, Alan B.
    NIA, Lab Epidemiol & Populat Sci, NIH, Bethesda, MD 20892 USA..
    Deary, Ian J.
    Univ Edinburgh, Ctr Cognit Ageing & Cognit Epidemiol Psychol, Edinburgh, Midlothian, Scotland..
    DeCarli, Charles
    Univ Calif Davis, Dept Neurol, Imaging Dementia & Aging IDeA Lab, Sacramento, CA 95817 USA.;Univ Calif Davis, Ctr Neurosci, Sacramento, CA 95817 USA..
    Schmidt, Helena
    Med Univ Graz, Inst Mol Biol & Biochem, Graz, Austria..
    Martin, Nicholas G.
    QIMR Berghofer Med Res Inst, Brisbane, Qld, Australia..
    De Craen, Anton J. M.
    Leiden Univ, Med Ctr, Dept Gerontol & Geriatr, Leiden, Netherlands..
    Wright, Margaret J.
    Univ Queensland, Queensland Brain Inst, Brisbane, Qld, Australia.;Univ Queensland, Ctr Adv Imaging, Brisbane, Qld, Australia..
    Launer, Lenore J.
    NIA, Intramural Res Program, NIH, Bethesda, MD 20892 USA..
    Schumann, Gunter
    Kings Coll London, Inst Psychiat Psychol & Neurosci, MRC SGDP Ctr, London, England..
    Fornage, Myriam
    Univ Texas Hlth Sci Ctr Houston, Inst Mol Med & Human Genet Ctr, Houston, TX 77030 USA..
    Franke, Barbara
    Radboud Univ Nijmegen, Med Ctr, Dept Human Genet, Nijmegen, Netherlands.;Radboud Univ Nijmegen, Med Ctr, Dept Psychiat, Nijmegen, Netherlands.;Radboud Univ Nijmegen, Donders Inst Brain Cognit & Behav, Nijmegen, Netherlands..
    Debette, Stephanie
    Boston Univ, Sch Med, Dept Neurol, Boston, MA 02118 USA.;Lieber Inst Brain Dev, Baltimore, MD USA.;Bordeaux Univ Hosp, Dept Neurol, Bordeaux, France..
    Medland, Sarah E.
    QIMR Berghofer Med Res Inst, Brisbane, Qld, Australia..
    Ikram, M. Arfan
    Erasmus MC, Dept Epidemiol, Rotterdam, Netherlands.;Erasmus MC, Dept Radiol & Nucl Med, Rotterdam, Netherlands.;Erasmus MC, Dept Neurol, Rotterdam, Netherlands..
    Thompson, Paul M.
    Univ Southern Calif, Keck Sch Med, USC Mark & Mary Stevens Neuroimaging & Informat I, Imaging Genet Ctr, Los Angeles, CA USA.;Univ Western Sydney, Sch Comp Engn & Math, Parramatta, NSW, Australia..
    Novel genetic loci underlying human intracranial volume identified through genome-wide association2016Inngår i: Nature Neuroscience, ISSN 1097-6256, E-ISSN 1546-1726, Vol. 19, nr 12, s. 1569-1582Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Intracranial volume reflects the maximally attained brain size during development, and remains stable with loss of tissue in late life. It is highly heritable, but the underlying genes remain largely undetermined. In a genome-wide association study of 32,438 adults, we discovered five previously unknown loci for intracranial volume and confirmed two known signals. Four of the loci were also associated with adult human stature, but these remained associated with intracranial volume after adjusting for height. We found a high genetic correlation with child head circumference (rho(genetic) = 0.748), which indicates a similar genetic background and allowed us to identify four additional loci through meta-analysis (N-combined = 37,345). Variants for intracranial volume were also related to childhood and adult cognitive function, and Parkinson's disease, and were enriched near genes involved in growth pathways, including PI3K-AKT signaling. These findings identify the biological underpinnings of intracranial volume and their link to physiological and pathological traits.

  • 2. Adoue, Veronique
    et al.
    Schiavi, Alicia
    Light, Nicholas
    Carlsson Almlöf, Jonas
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Lundmark, Per
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Ge, Bing
    Kwan, Tony
    Caron, Maxime
    Rönnblom, Lars
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Reumatologi.
    Wang, Chuan
    Chen, Shu-Huang
    Goodall, Alison H
    Cambien, Francois
    Deloukas, Panos
    Ouwehand, Willem H
    Syvänen, Ann-Christine
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Pastinen, Tomi
    Allelic expression mapping across cellular lineages to establish impact of non-coding SNPs2014Inngår i: Molecular Systems Biology, ISSN 1744-4292, E-ISSN 1744-4292, Vol. 10, nr 10, s. 754-Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Most complex disease-associated genetic variants are located in non-coding regions and are therefore thought to be regulatory in nature. Association mapping of differential allelic expression (AE) is a powerful method to identify SNPs with direct cis-regulatory impact (cis-rSNPs). We used AE mapping to identify cis-rSNPs regulating gene expression in 55 and 63 HapMap lymphoblastoid cell lines from a Caucasian and an African population, respectively, 70 fibroblast cell lines, and 188 purified monocyte samples and found 40-60% of these cis-rSNPs to be shared across cell types. We uncover a new class of cis-rSNPs, which disrupt footprint-derived de novo motifs that are predominantly bound by repressive factors and are implicated in disease susceptibility through overlaps with GWAS SNPs. Finally, we provide the proof-of-principle for a new approach for genome-wide functional validation of transcription factor-SNP interactions. By perturbing NFκB action in lymphoblasts, we identified 489 cis-regulated transcripts with altered AE after NFκB perturbation. Altogether, we perform a comprehensive analysis of cis-variation in four cell populations and provide new tools for the identification of functional variants associated to complex diseases.

    Fulltekst (pdf)
    fulltext
  • 3.
    Ahlford, Annika
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin.
    Applications of Four-Colour Fluorescent Primer Extension Technology for SNP Analysis and Discovery2010Doktoravhandling, med artikler (Annet vitenskapelig)
    Abstract [en]

    Studies on genetic variation can reveal effects on traits and disease, both in humans and in model organisms. Good technology for the analysis of DNA sequence variations is critical. Currently the development towards assays for large-scale and parallel DNA sequencing and genotyping is progressing rapidly. Single base primer extension (SBE) is a robust reaction principle based on four-colour fluorescent terminating nucleotides to interrogate all four DNA nucleotides in a single reaction. In this thesis, SBE methods were applied to the analysis and discovery of single nucleotide polymorphism (SNP) in the model organism Drosophila melanogaster and in humans.

    The tag-array minisequencing system in a microarray format is convenient for intermediate sized genotyping projects. The system is scalable and flexible to adapt to specialized and novel applications. In Study I of the thesis a tool was established to automate quality control of clustered genotype data. By calculating “Silhouette scores”, the SNP genotype assignment can be evaluated by a single numeric measure. Silhouette scores were then applied in Study I to compare the performance of four DNA polymerases and in Study III to evaluate freeze-dried reagents in the tag-array minisequencing system.

    The characteristics of the tag-array minisequencing system makes it suitable for inexpensive genome-wide gene mapping in the fruit fly. In Study II a high-resolution SNP map, and 293 genotyping assays, were established across the X, 2nd and 3rd chromosomes to distinguish commonly used Drosophila strains. A database of the SNP markers and a program for automatic allele calling and identification of map positions of mutants was also developed. The utility of the system was demonstrated by rapid mapping of 14 genes that disrupt embryonic muscle patterning.

    In Study III the tag-array minisequencing system was adapted to a lab-on-a-chip format for diagnostic testing for mutations in the TP53 gene. Freeze-drying was evaluated for storing reagents, including thermo-sensitive enzymes, on the microchip to reduce the complexity of the integrated test. Correct genotyping results were obtained using freeze-dried reagents in each reaction step of the genotyping protocol, both in test tubes and in single polymer test chambers. The results showed the potential of the approach to be implemented in fully integrated systems.

    The four-colour chemistry of SBE has been developed further to allow massively parallel sequencing (MPS) of short DNA fragments as in the Genome Analyzer system (Solexa/Illumina). In Study IV MPS was used to compare Nimblegen arrays and the SureSelect solution-based system for targeted enrichment of 56 continuous human candidate-gene regions totalling 3.1 Mb in size. Both methods detected known SNPs and discovered novel SNPs in the target regions, demonstrating the feasibility for complexity reduction of sequencing libraries by hybridization methods.

    Delarbeid
    1.
    Posten ble ikke funnet. Det kan skyldes at posten ikke lenger er tilgjengelig eller det er feil id i adressefeltet.
    2. High-resolution, high-throughput SNP mapping in Drosophila melanogaster
    Åpne denne publikasjonen i ny fane eller vindu >>High-resolution, high-throughput SNP mapping in Drosophila melanogaster
    Vise andre…
    2008 (engelsk)Inngår i: Nature Methods, ISSN 1548-7091, E-ISSN 1548-7105, Vol. 5, nr 4, s. 323-329Artikkel i tidsskrift (Fagfellevurdert) Published
    Abstract [en]

    Single nucleotide polymorphisms (SNPs) are useful markers for genetic mapping experiments in model organisms. Here we report the establishment of a high-density SNP map and high-throughput genotyping assays for Drosophila melanogaster. Our map comprises 27,367 SNPs in common laboratory Drosophila stocks. These SNPs were clustered within 2,238 amplifiable markers at an average density of 1 marker every 50.3 kb, or 6.3 genes. We have also constructed a set of 62 Drosophila stocks, each of which facilitates the generation of recombinants within a defined genetic interval of 1-2 Mb. For flexible, high-throughput SNP genotyping, we used fluorescent tag-array mini-sequencing (TAMS) assays. We designed and validated TAMS assays for 293 SNPs at an average resolution of 391.3 kb, and demonstrated the utility of these tools by rapidly mapping 14 mutations that disrupt embryonic muscle patterning. These resources enable high-resolution high-throughput genetic mapping in Drosophila.

    Emneord
    Animals, Chromosome Mapping, Drosophila melanogaster/embryology/*genetics, Genome; Insect, Muscle Development/*genetics, Mutation, Polymorphism; Single Nucleotide
    HSV kategori
    Identifikatorer
    urn:nbn:se:uu:diva-16561 (URN)10.1038/nmeth.1191 (DOI)000254559400019 ()18327265 (PubMedID)
    Tilgjengelig fra: 2008-05-28 Laget: 2008-05-28 Sist oppdatert: 2022-01-28bibliografisk kontrollert
    3. Positional cloning by fast-track SNP-mapping in Drosophila melanogaster
    Åpne denne publikasjonen i ny fane eller vindu >>Positional cloning by fast-track SNP-mapping in Drosophila melanogaster
    Vise andre…
    2008 (engelsk)Inngår i: Nature Protocols, ISSN 1754-2189, E-ISSN 1750-2799, Vol. 3, nr 11, s. 1751-1765Artikkel i tidsskrift (Fagfellevurdert) Published
    Abstract [en]

    Positional cloning of chemically induced mutations is the rate-limiting step in forward genetic screens in Drosophila. Single-nucleotide polymorphisms (SNPs) are useful markers to locate a mutated region in the genome. Here, we provide a protocol for high-throughput, high-resolution SNP mapping that enables rapid and cost-effective positional cloning in Drosophila. In stage 1 of the protocol, we use highly multiplexed tag-array mini-sequencing assays to map mutations to an interval of 1-2 Mb. In these assays, SNPs are genotyped by primer extension using fluorescently labeled dideoxy-nucleotides. Fluorescent primers are captured and detected on a microarray. In stage 2, we selectively isolate recombinants within the identified 1-2 Mb interval for fine mapping of mutations to about 50 kb. We have previously demonstrated the applicability of this protocol by mapping 14 muscle morphogenesis mutants within 4 months, which represents a significant acceleration compared with other commonly used mapping strategies that may take years.

    HSV kategori
    Identifikatorer
    urn:nbn:se:uu:diva-98390 (URN)10.1038/nprot.2008.175 (DOI)000265781600008 ()18948975 (PubMedID)
    Tilgjengelig fra: 2009-02-20 Laget: 2009-02-20 Sist oppdatert: 2022-01-28bibliografisk kontrollert
    4. Dried reagents for multiplex genotyping by tag-array minisequencing to be used in microfluidic devices
    Åpne denne publikasjonen i ny fane eller vindu >>Dried reagents for multiplex genotyping by tag-array minisequencing to be used in microfluidic devices
    Vise andre…
    2010 (engelsk)Inngår i: The Analyst, ISSN 0003-2654, E-ISSN 1364-5528, Vol. 135, nr 9, s. 2377-2385Artikkel i tidsskrift (Fagfellevurdert) Published
    Abstract [en]

    We present an optimized procedure for freeze-drying and storing reagents for multiplex PCR followed by genotyping using a tag-array minisequencing assay with four color fluorescence detection which is suitable for microfluidic assay formats. A test panel was established for five cancer mutations in three codons (175, 248 and 273) of the tumor protein gene (TP53) and for 13 common single nucleotide polymorphisms (SNPs) in the TP53 gene. The activity of DNA polymerase was preserved for six months of storage after freeze-drying, and the half-life of activities of exonuclease I and shrimp alkaline phosphatase were estimated to 55 and 200 days, respectively. We conducted a systematic genotyping comparison using freeze-dried and liquid reagents. The accuracy of successful genotyping was 99.1% using freeze-dried reagents compared to liquid reagents. As a proof of concept, the genotyping protocol was carried out with freeze-dried reagents stored in reaction chambers fabricated by micromilling in a cyclic olefin copolymer substrate. The results reported in this study are a key step towards the development of an integrated microfluidic device for point-of-care DNA-based diagnostics.

    HSV kategori
    Identifikatorer
    urn:nbn:se:uu:diva-129216 (URN)10.1039/c0an00321b (DOI)000281007300027 ()20668755 (PubMedID)
    Tilgjengelig fra: 2010-08-09 Laget: 2010-08-09 Sist oppdatert: 2022-01-28bibliografisk kontrollert
    5.
    Posten ble ikke funnet. Det kan skyldes at posten ikke lenger er tilgjengelig eller det er feil id i adressefeltet.
    Fulltekst (pdf)
    FULLTEXT01
  • 4.
    Ahlford, Annika
    et al.
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin.
    Kjeldsen, Bastian
    Reimers, Jakob
    Lundmark, Anders
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin.
    Romani, Massimo
    Wolff, Anders
    Syvänen, Ann-Christine
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin.
    Brivio, Monica
    Dried reagents for multiplex genotyping by tag-array minisequencing to be used in microfluidic devices2010Inngår i: The Analyst, ISSN 0003-2654, E-ISSN 1364-5528, Vol. 135, nr 9, s. 2377-2385Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    We present an optimized procedure for freeze-drying and storing reagents for multiplex PCR followed by genotyping using a tag-array minisequencing assay with four color fluorescence detection which is suitable for microfluidic assay formats. A test panel was established for five cancer mutations in three codons (175, 248 and 273) of the tumor protein gene (TP53) and for 13 common single nucleotide polymorphisms (SNPs) in the TP53 gene. The activity of DNA polymerase was preserved for six months of storage after freeze-drying, and the half-life of activities of exonuclease I and shrimp alkaline phosphatase were estimated to 55 and 200 days, respectively. We conducted a systematic genotyping comparison using freeze-dried and liquid reagents. The accuracy of successful genotyping was 99.1% using freeze-dried reagents compared to liquid reagents. As a proof of concept, the genotyping protocol was carried out with freeze-dried reagents stored in reaction chambers fabricated by micromilling in a cyclic olefin copolymer substrate. The results reported in this study are a key step towards the development of an integrated microfluidic device for point-of-care DNA-based diagnostics.

  • 5.
    Alexander, Michelle
    et al.
    Univ York, York YO10 5DD, N Yorkshire, England.;Univ Aberdeen, Sch Geosci, Dept Archaeol, Aberdeen AB24 3UF, Scotland..
    Ho, Simon Y. W.
    Univ Sydney, Sch Biol Sci, Sydney, NSW 2006, Australia..
    Molak, Martyna
    Polish Acad Sci, Museum & Inst Zool, PL-00679 Warsaw, Poland..
    Barnett, Ross
    Palaeogen & Bioarchaeol Res Network, Res Lab Archaeol, Oxford OX1 3QY, England..
    Carlborg, Örjan
    Swedish University of Agricultural Sciences, Uppsala, Sweden.
    Dorshorst, Ben
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinsk biokemi och mikrobiologi. Virginia Tech, Dept Anim & Poultry Sci, Blacksburg, VA 24061 USA..
    Honaker, Christa
    Virginia Tech, Dept Anim & Poultry Sci, Blacksburg, VA 24061 USA..
    Besnier, Francois
    Inst Marine Res, Sect Populat Genet, N-5024 Bergen, Norway..
    Wahlberg, Per
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinsk biokemi och mikrobiologi. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin.
    Dobney, Keith
    Univ Aberdeen, Sch Geosci, Dept Archaeol, Aberdeen AB24 3UF, Scotland..
    Siegel, Paul
    Virginia Tech, Dept Anim & Poultry Sci, Blacksburg, VA 24061 USA..
    Andersson, Leif
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinsk biokemi och mikrobiologi. Swedish Univ Agr Sci, Dept Anim Breeding & Genet, S-75007 Uppsala, Sweden..
    Larson, Greger
    Palaeogen & Bioarchaeol Res Network, Res Lab Archaeol, Oxford OX1 3QY, England..
    Mitogenomic analysis of a 50-generation chicken pedigree reveals a rapid rate of mitochondrial evolution and evidence for paternal mtDNA inheritance2015Inngår i: Biology Letters, ISSN 1744-9561, E-ISSN 1744-957X, Vol. 11, nr 10, artikkel-id 20150561Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Mitochondrial genomes represent a valuable source of data for evolutionary research, but studies of their short-term evolution have typically been limited to invertebrates, humans and laboratory organisms. Here we present a detailed study of 12 mitochondrial genomes that span a total of 385 transmissions in a well-documented 50-generation pedigree in which two lineages of chickens were selected for low and high juvenile body weight. These data allowed us to test the hypothesis of time-dependent evolutionary rates and the assumption of strict maternal mitochondrial transmission, and to investigate the role of mitochondrial mutations in determining phenotype. The identification of a non-synonymous mutation in ND4L and a synonymous mutation in CYTB, both novel mutations in Gallus, allowed us to estimate a molecular rate of 3.13 x 10(-7) mutations/site/year (95% confidence interval 3.75 x 10(-8)-1.12 x 10(-6)). This is substantially higher than avian rate estimates based upon fossil calibrations. Ascertaining which of the two novel mutations was present in an additional 49 individuals also revealed an instance of paternal inheritance of mtDNA. Lastly, an association analysis demonstrated that neither of the point mutations was strongly associated with the phenotypic differences between the two selection lines. Together, these observations reveal the highly dynamic nature of mitochondrial evolution over short time periods.

    Fulltekst (pdf)
    fulltext
  • 6.
    Almeida, Pedro
    et al.
    UCL, Dept Genet Evolut & Environm, London, England.
    Proux-Wera, Estelle
    Stockholm Univ, Dept Biochem & Biophys, Sci Life Lab, Natl Bioinformat Infrastruct Sweden, Stockholm, Sweden.
    Churcher, Allison
    Umeå Univ, Dept Mol Biol, Sci Life Lab, Natl Bioinformat Infrastruct Sweden, Umeå, Sweden.
    Soler, Lucile
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinsk biokemi och mikrobiologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Dainat, Jacques
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinsk biokemi och mikrobiologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Pucholt, Pascal
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Reumatologi. Swedish Univ Agr Sci, Uppsala BioCtr, Linnean Ctr Plant Biol, Dept Plant Biol, Uppsala, Sweden.
    Nordlund, Jessica
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Martin, Tom
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Rönnberg-Wästljung, Ann-Christin
    Swedish Univ Agr Sci, Uppsala BioCtr, Linnean Ctr Plant Biol, Dept Plant Biol, Uppsala, Sweden.
    Nystedt, Björn
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Biologiska sektionen, Institutionen för cell- och molekylärbiologi, Molekylär evolution. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Berlin, Sofia
    Swedish Univ Agr Sci, Uppsala BioCtr, Linnean Ctr Plant Biol, Dept Plant Biol, Uppsala, Sweden.
    Mank, Judith E.
    UCL, Dept Genet Evolut & Environm, London, England; Univ British Columbia, Dept Zool, Vancouver, BC, Canada; Univ British Columbia, Biodivers Res Ctr, Vancouver, BC, Canada.
    Genome assembly of the basket willow, Salix viminalis, reveals earliest stages of sex chromosome expansion2020Inngår i: BMC Biology, E-ISSN 1741-7007, Vol. 18, nr 1, artikkel-id 78Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Background

    Sex chromosomes have evolved independently multiple times in eukaryotes and are therefore considered a prime example of convergent genome evolution. Sex chromosomes are known to emerge after recombination is halted between a homologous pair of chromosomes, and this leads to a range of non-adaptive modifications causing gradual degeneration and gene loss on the sex-limited chromosome. However, the proximal causes of recombination suppression and the pace at which degeneration subsequently occurs remain unclear.

    Results

    Here, we use long- and short-read single-molecule sequencing approaches to assemble and annotate a draft genome of the basket willow, Salix viminalis, a species with a female heterogametic system at the earliest stages of sex chromosome emergence. Our single-molecule approach allowed us to phase the emerging Z and W haplotypes in a female, and we detected very low levels of Z/W single-nucleotide divergence in the non-recombining region. Linked-read sequencing of the same female and an additional male (ZZ) revealed the presence of two evolutionary strata supported by both divergence between the Z and W haplotypes and by haplotype phylogenetic trees. Gene order is still largely conserved between the Z and W homologs, although the W-linked region contains genes involved in cytokinin signaling regulation that are not syntenic with the Z homolog. Furthermore, we find no support across multiple lines of evidence for inversions, which have long been assumed to halt recombination between the sex chromosomes.

    Conclusions

    Our data suggest that selection against recombination is a more gradual process at the earliest stages of sex chromosome formation than would be expected from an inversion and may result instead from the accumulation of transposable elements. Our results present a cohesive understanding of the earliest genomic consequences of recombination suppression as well as valuable insights into the initial stages of sex chromosome formation and regulation of sex differentiation.

    Fulltekst (pdf)
    FULLTEXT01
  • 7.
    Almlöf, Jonas Carlsson
    et al.
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Lundmark, Per
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Lundmark, Anders
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Ge, B.
    Maouche, S.
    Göring, H. H. H.
    Liljedahl, Ulrika
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Enström, Camilla
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Brocheton, J.
    Proust, C.
    Godefroy, T.
    Sambrook, J. G.
    Jolley, J.
    Crisp-Hihn, A.
    Foad, N.
    Lloyd-Jones, H.
    Stephens, J.
    Gwilliam, R.
    Rice, C. M.
    Hengstenberg, C.
    Samani, N. J.
    Erdmann, J.
    Schunkert, H.
    Pastinen, T.
    Deloukas, P.
    Goodall, A. H.
    Ouwehand, W. H.
    Cambien, F.
    Syvänen, Ann-Christine
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Powerful Identification of Cis-regulatory SNPs in Human Primary Monocytes Using Allele-Specific Gene Expression2012Inngår i: PLOS ONE, E-ISSN 1932-6203, Vol. 7, nr 12, s. e52260-Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    A large number of genome-wide association studies have been performed during the past five years to identify associations between SNPs and human complex diseases and traits. The assignment of a functional role for the identified disease-associated SNP is not straight-forward. Genome-wide expression quantitative trait locus (eQTL) analysis is frequently used as the initial step to define a function while allele-specific gene expression (ASE) analysis has not yet gained a wide-spread use in disease mapping studies. We compared the power to identify cis-acting regulatory SNPs (cis-rSNPs) by genome-wide allele-specific gene expression (ASE) analysis with that of traditional expression quantitative trait locus (eQTL) mapping. Our study included 395 healthy blood donors for whom global gene expression profiles in circulating monocytes were determined by Illumina BeadArrays. ASE was assessed in a subset of these monocytes from 188 donors by quantitative genotyping of mRNA using a genome-wide panel of SNP markers. The performance of the two methods for detecting cis-rSNPs was evaluated by comparing associations between SNP genotypes and gene expression levels in sample sets of varying size. We found that up to 8-fold more samples are required for eQTL mapping to reach the same statistical power as that obtained by ASE analysis for the same rSNPs. The performance of ASE is insensitive to SNPs with low minor allele frequencies and detects a larger number of significantly associated rSNPs using the same sample size as eQTL mapping. An unequivocal conclusion from our comparison is that ASE analysis is more sensitive for detecting cis-rSNPs than standard eQTL mapping. Our study shows the potential of ASE mapping in tissue samples and primary cells which are difficult to obtain in large numbers.

    Fulltekst (pdf)
    fulltext
  • 8.
    Almlöf, Jonas Carlsson
    et al.
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Nystedt, Sara
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Leonard, Dag
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Reumatologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Eloranta, Maija-Leena
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Reumatologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Grosso, Giorgia
    Karolinska Univ Hosp, Karolinska Inst, Dept Med, Rheumatol Unit,Rheumatol, S-17177 Stockholm, Sweden.
    Sjowall, Christopher
    Linkoping Univ, Div Neuro & Inflammat Sci, Dept Clin & Expt Med, Rheumatol, S-58183 Linkoping, Sweden.
    Bengtsson, Anders A.
    Lund Univ, Skane Univ Hosp, Dept Clin Sci, Rheumatol, S-22242 Lund, Sweden.
    Jonsen, Andreas
    Lund Univ, Skane Univ Hosp, Dept Clin Sci, Rheumatol, S-22242 Lund, Sweden.
    Gunnarsson, Iva
    Karolinska Univ Hosp, Karolinska Inst, Dept Med, Rheumatol Unit,Rheumatol, S-17177 Stockholm, Sweden.
    Svenungsson, Elisabet
    Karolinska Univ Hosp, Karolinska Inst, Dept Med, Rheumatol Unit,Rheumatol, S-17177 Stockholm, Sweden.
    Rönnblom, Lars
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Reumatologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Sandling, Johanna K.
    Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Reumatologi.
    Syvänen, Ann-Christine
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Whole-genome sequencing identifies complex contributions to genetic risk by variants in genes causing monogenic systemic lupus erythematosus2019Inngår i: Human Genetics, ISSN 0340-6717, E-ISSN 1432-1203, Vol. 138, nr 2, s. 141-150Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Systemic lupus erythematosus (SLE, OMIM 152700) is a systemic autoimmune disease with a complex etiology. The mode of inheritance of the genetic risk beyond familial SLE cases is currently unknown. Additionally, the contribution of heterozygous variants in genes known to cause monogenic SLE is not fully understood. Whole-genome sequencing of DNA samples from 71 Swedish patients with SLE and their healthy biological parents was performed to investigate the general genetic risk of SLE using known SLE GWAS risk loci identified using the ImmunoChip, variants in genes associated to monogenic SLE, and the mode of inheritance of SLE risk alleles in these families. A random forest model for predicting genetic risk for SLE showed that the SLE risk variants were mainly inherited from one of the parents. In the 71 patients, we detected a significant enrichment of ultra-rare (0.1%) missense and nonsense mutations in 22 genes known to cause monogenic forms of SLE. We identified one previously reported homozygous nonsense mutation in the C1QC (Complement C1q C Chain) gene, which explains the immunodeficiency and severe SLE phenotype of that patient. We also identified seven ultra-rare, coding heterozygous variants in five genes (C1S, DNASE1L3, DNASE1, IFIH1, and RNASEH2A) involved in monogenic SLE. Our findings indicate a complex contribution to the overall genetic risk of SLE by rare variants in genes associated with monogenic forms of SLE. The rare variants were inherited from the other parent than the one who passed on the more common risk variants leading to an increased genetic burden for SLE in the child. Higher frequency SLE risk variants are mostly passed from one of the parents to the offspring affected with SLE. In contrast, the other parent, in seven cases, contributed heterozygous rare variants in genes associated with monogenic forms of SLE, suggesting a larger impact of rare variants in SLE than hitherto reported.

    Fulltekst (pdf)
    fulltext
  • 9.
    Almlöf, Jonas
    et al.
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Lundmark, Per
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Lundmark, Anders
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Ge, Bing
    Pastinen, Tomi
    Goodall, Alison H
    Cambien, François
    Deloukas, Panos
    Ouwehand, Willem H
    Syvänen, Ann-Christine
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Single nucleotide polymorphisms with cis-regulatory effects on long non-coding transcripts in human primary monocytes2014Inngår i: PLOS ONE, E-ISSN 1932-6203, Vol. 9, nr 7, s. e102612-Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    We applied genome-wide allele-specific expression analysis of monocytes from 188 samples. Monocytes were purified from white blood cells of healthy blood donors to detect cis-acting genetic variation that regulates the expression of long non-coding RNAs. We analysed 8929 regions harboring genes for potential long non-coding RNA that were retrieved from data from the ENCODE project. Of these regions, 60% were annotated as intergenic, which implies that they do not overlap with protein-coding genes. Focusing on the intergenic regions, and using stringent analysis of the allele-specific expression data, we detected robust cis-regulatory SNPs in 258 out of 489 informative intergenic regions included in the analysis. The cis-regulatory SNPs that were significantly associated with allele-specific expression of long non-coding RNAs were enriched to enhancer regions marked for active or bivalent, poised chromatin by histone modifications. Out of the lncRNA regions regulated by cis-acting regulatory SNPs, 20% (n = 52) were co-regulated with the closest protein coding gene. We compared the identified cis-regulatory SNPs with those in the catalog of SNPs identified by genome-wide association studies of human diseases and traits. This comparison identified 32 SNPs in loci from genome-wide association studies that displayed a strong association signal with allele-specific expression of non-coding RNAs in monocytes, with p-values ranging from 6.7×10-7 to 9.5×10-89. The identified cis-regulatory SNPs are associated with diseases of the immune system, like multiple sclerosis and rheumatoid arthritis.

    Fulltekst (pdf)
    fulltext
  • 10.
    Ameur, Adam
    et al.
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Che, Huiwen
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Martin, Marcel
    Stockholm Univ, DBB, Sci Life Lab, S-11419 Stockholm, Sweden.
    Bunikis, Ignas
    Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi. Uppsala Univ, Dept Immunol Genet & Pathol, Sci Life Lab, S-75236 Uppsala, Sweden.
    Dahlberg, Johan
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Höijer, Ida
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Häggqvist, Susana
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Vezzi, Francesco
    Stockholm Univ, DBB, Sci Life Lab, S-11419 Stockholm, Sweden.
    Nordlund, Jessica
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala Univ, Dept Med Sci, Sci Life Lab, Mol Med, S-75236 Uppsala, Sweden.
    Olason, Pall
    Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Biologiska sektionen, Institutionen för cell- och molekylärbiologi.
    Feuk, Lars
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Medicinsk genetik och genomik.
    Gyllensten, Ulf B.
    Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Medicinsk genetik och genomik.
    De Novo Assembly of Two Swedish Genomes Reveals Missing Segments from the Human GRCh38 Reference and Improves Variant Calling of Population-Scale Sequencing Data2018Inngår i: Genes, ISSN 2073-4425, E-ISSN 2073-4425, Vol. 9, nr 10, artikkel-id 486Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    The current human reference sequence (GRCh38) is a foundation for large-scale sequencing projects. However, recent studies have suggested that GRCh38 may be incomplete and give a suboptimal representation of specific population groups. Here, we performed a de novo assembly of two Swedish genomes that revealed over 10 Mb of sequences absent from the human GRCh38 reference in each individual. Around 6 Mb of these novel sequences (NS) are shared with a Chinese personal genome. The NS are highly repetitive, have an elevated GC-content, and are primarily located in centromeric or telomeric regions. Up to 1 Mb of NS can be assigned to chromosome Y, and large segments are also missing from GRCh38 at chromosomes 14, 17, and 21. Inclusion of NS into the GRCh38 reference radically improves the alignment and variant calling from short-read whole-genome sequencing data at several genomic loci. A re-analysis of a Swedish population-scale sequencing project yields > 75,000 putative novel single nucleotide variants (SNVs) and removes > 10,000 false positive SNV calls per individual, some of which are located in protein coding regions. Our results highlight that the GRCh38 reference is not yet complete and demonstrate that personal genome assemblies from local populations can improve the analysis of short-read whole-genome sequencing data.

    Fulltekst (pdf)
    FULLTEXT01
  • 11.
    Ameur, Adam
    et al.
    Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi. Natl Genom Infrastruct, Sci Life Lab, Stockholm, Sweden..
    Dahlberg, Johan
    Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Natl Genom Infrastruct, Sci Life Lab, Stockholm, Sweden.
    Olason, Pall
    Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Biologiska sektionen, Institutionen för cell- och molekylärbiologi. Natl Bioinformat Infrastruct, Sci Life Lab, Stockholm, Sweden..
    Vezzi, Francesco
    Natl Genom Infrastruct, Sci Life Lab, Stockholm, Sweden.;Stockholm Univ, Dept Biochem & Biophys, Sci Life Lab, Stockholm, Sweden..
    Karlsson, Robert
    Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden..
    Martin, Marcel
    Natl Bioinformat Infrastruct, Sci Life Lab, Stockholm, Sweden.;Stockholm Univ, Dept Biochem & Biophys, Sci Life Lab, Stockholm, Sweden..
    Viklund, Johan
    Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Biologiska sektionen, Institutionen för cell- och molekylärbiologi, Beräkningsbiologi och bioinformatik. Natl Bioinformat Infrastruct, Sci Life Lab, Stockholm, Sweden..
    Kähäri, Andreas
    Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Biologiska sektionen, Institutionen för cell- och molekylärbiologi, Beräkningsbiologi och bioinformatik. Natl Bioinformat Infrastruct, Sci Life Lab, Stockholm, Sweden..
    Lundin, Par
    Stockholm Univ, Dept Biochem & Biophys, Sci Life Lab, Stockholm, Sweden..
    Che, Huiwen
    Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi.
    Thutkawkorapin, Jessada
    Karolinska Inst, Dept Mol Med & Surg, Stockholm, Sweden..
    Eisfeldt, Jesper
    Karolinska Inst, Dept Mol Med & Surg, Stockholm, Sweden..
    Lampa, Samuel
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Farmaceutiska fakulteten, Institutionen för farmaceutisk biovetenskap. Natl Bioinformat Infrastruct, Sci Life Lab, Stockholm, Sweden.
    Dahlberg, Mats
    Natl Bioinformat Infrastruct, Sci Life Lab, Stockholm, Sweden.;Stockholm Univ, Dept Biochem & Biophys, Sci Life Lab, Stockholm, Sweden..
    Hagberg, Jonas
    Natl Bioinformat Infrastruct, Sci Life Lab, Stockholm, Sweden.;Stockholm Univ, Dept Biochem & Biophys, Sci Life Lab, Stockholm, Sweden..
    Jareborg, Niclas
    Natl Bioinformat Infrastruct, Sci Life Lab, Stockholm, Sweden.;Stockholm Univ, Dept Biochem & Biophys, Sci Life Lab, Stockholm, Sweden..
    Liljedahl, Ulrika
    Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Natl Genom Infrastruct, Sci Life Lab, Stockholm, Sweden.
    Jonasson, Inger
    Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi. Natl Genom Infrastruct, Sci Life Lab, Stockholm, Sweden..
    Johansson, Åsa
    Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Medicinsk genetik och genomik.
    Feuk, Lars
    Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Medicinsk genetik och genomik.
    Lundeberg, Joakim
    Natl Genom Infrastruct, Sci Life Lab, Stockholm, Sweden.;Royal Inst Technol, Div Gene Technol, Sch Biotechnol, Sci Life Lab, Stockholm, Sweden..
    Syvänen, Ann-Christine
    Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Natl Genom Infrastruct, Sci Life Lab, Stockholm, Sweden.
    Lundin, Sverker
    Royal Inst Technol, Div Gene Technol, Sch Biotechnol, Sci Life Lab, Stockholm, Sweden..
    Nilsson, Daniel
    Karolinska Inst, Dept Mol Med & Surg, Stockholm, Sweden..
    Nystedt, Björn
    Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Biologiska sektionen, Institutionen för cell- och molekylärbiologi, Molekylär evolution. Natl Bioinformat Infrastruct, Sci Life Lab, Stockholm, Sweden..
    Magnusson, Patrik K. E.
    Natl Genom Infrastruct, Sci Life Lab, Stockholm, Sweden.;Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden..
    Gyllensten, Ulf B.
    Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Medicinsk genetik och genomik.
    SweGen: a whole-genome data resource of genetic variability in a cross-section of the Swedish population2017Inngår i: European Journal of Human Genetics, ISSN 1018-4813, E-ISSN 1476-5438, Vol. 25, nr 11, s. 1253-1260Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Here we describe the SweGen data set, a comprehensive map of genetic variation in the Swedish population. These data represent a basic resource for clinical genetics laboratories as well as for sequencing-based association studies by providing information on genetic variant frequencies in a cohort that is well matched to national patient cohorts. To select samples for this study, we first examined the genetic structure of the Swedish population using high-density SNP-array data from a nation-wide cohort of over 10 000 Swedish-born individuals included in the Swedish Twin Registry. A total of 1000 individuals, reflecting a cross-section of the population and capturing the main genetic structure, were selected for whole-genome sequencing. Analysis pipelines were developed for automated alignment, variant calling and quality control of the sequencing data. This resulted in a genome-wide collection of aggregated variant frequencies in the Swedish population that we have made available to the scientific community through the website https://swefreq.nbis.se. A total of 29.2 million single-nucleotide variants and 3.8 million indels were detected in the 1000 samples, with 9.9 million of these variants not present in current databases. Each sample contributed with an average of 7199 individual-specific variants. In addition, an average of 8645 larger structural variants (SVs) were detected per individual, and we demonstrate that the population frequencies of these SVs can be used for efficient filtering analyses. Finally, our results show that the genetic diversity within Sweden is substantial compared with the diversity among continental European populations, underscoring the relevance of establishing a local reference data set.

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  • 12.
    Andreou, Dimitrios
    et al.
    Karolinska Hosp & Inst, Dept Clin Neurosci, Psychiat Sect, HUBIN Project, Stockholm, Sweden..
    Soderman, Erik
    Karolinska Hosp & Inst, Dept Clin Neurosci, Psychiat Sect, HUBIN Project, Stockholm, Sweden..
    Axelsson, Tomas
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin.
    Sedvall, Goran C.
    Karolinska Hosp & Inst, Dept Clin Neurosci, Psychiat Sect, HUBIN Project, Stockholm, Sweden..
    Terenius, Lars
    Karolinska Hosp & Inst, Dept Clin Neurosci, Psychiat Sect, HUBIN Project, Stockholm, Sweden..
    Agartz, Ingrid
    Karolinska Hosp & Inst, Dept Clin Neurosci, Psychiat Sect, HUBIN Project, Stockholm, Sweden.;Univ Oslo, NORMENT, Inst Clin Med, Oslo, Norway.;Diakonhjemmet Hosp, Dept Psychiat Res, Oslo, Norway..
    Jonsson, Erik G.
    Karolinska Hosp & Inst, Dept Clin Neurosci, Psychiat Sect, HUBIN Project, Stockholm, Sweden.;Univ Oslo, NORMENT, Inst Clin Med, Oslo, Norway..
    Cerebrospinal fluid monoamine metabolite concentrations as intermediate phenotypes between glutamate-related genes and psychosis2015Inngår i: Psychiatry Research, ISSN 0165-1781, E-ISSN 1872-7123, Vol. 229, nr 1-2, s. 497-504Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Glutamate-related genes have been associated with schizophrenia, but the results have been ambiguous and difficult to replicate. Homovanillic acid (HVA), 5-hydroxyindoleacetic acid (5-HIAA) and 3-methoxy-4-hydroxyphenylglycol (MHPG) are the major degradation products of the monoamines dopamine, serotonin and noradrenaline, respectively, and their concentrations in the cerebrospinal fluid (CSF), mainly HVA, have been associated with schizophrenia. In the present study, we hypothesized that CSF HVA, 5-HIAA and MHPG concentrations represent intermediate phenotypes in the association between glutamate-related genes and psychosis. To test this hypothesis, we searched for association between 238 single nucleotide polymorphisms (SNPs) in ten genes shown to be directly or indirectly implicated in glutamate transmission and CSF HVA, 5-HIAA and MHPG concentrations in 74 patients with psychotic disease. Thirty-eight nominally significant associations were found. Further analyses in 111 healthy controls showed that 87% of the nominal associations were restricted to the patients with psychosis. Some of the psychosis-only-associated SNPs found in the D-amino acid oxidase activator (DADA) and the kynurenine 3-monooxygenase (KMO) genes have previously been reported to be associated with schizophrenia. The present results suggest that CSF monoamine metabolite concentrations may represent intermediate phenotypes in the association between glutamate-related genes and psychosis.

    Fulltekst (pdf)
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  • 13. Andreou, Dimitrios
    et al.
    Söderman, Erik
    Axelsson, Tomas
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin.
    Sedvall, Göran C
    Terenius, Lars
    Agartz, Ingrid
    Jönsson, Erik G
    Polymorphisms in genes implicated in dopamine, serotonin and noradrenalin metabolism suggest association with cerebrospinal fluid monoamine metabolite concentrations in psychosis2014Inngår i: Behavioral and Brain Functions, E-ISSN 1744-9081, Vol. 10, s. 26-Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    BACKGROUND: Homovanillic acid (HVA), 5-hydroxyindoleacetic acid (5-HIAA) and 3-methoxy-4-hydroxyphenylglycol (MHPG) are the major monoamine metabolites in the central nervous system (CNS). Their cerebrospinal fluid (CSF) concentrations, reflecting the monoamine turnover rates in CNS, are partially under genetic influence and have been associated with schizophrenia. We have hypothesized that CSF monoamine metabolite concentrations represent intermediate steps between single nucleotide polymorphisms (SNPs) in genes implicated in monoaminergic pathways and psychosis.

    METHODS: We have searched for association between 119 SNPs in genes implicated in monoaminergic pathways [tryptophan hydroxylase 1 (TPH1), TPH2, tyrosine hydroxylase (TH), DOPA decarboxylase (DDC), dopamine beta-hydroxylase (DBH), catechol-O-methyltransferase (COMT), monoamine oxidase A (MAOA) and MAOB] and monoamine metabolite concentrations in CSF in 74 patients with psychotic disorder.

    RESULTS: There were 42 nominally significant associations between SNPs and CSF monoamine metabolite concentrations, which exceeded the expected number (20) of nominal associations given the total number of tests performed. The strongest association (p = 0.0004) was found between MAOB rs5905512, a SNP previously reported to be associated with schizophrenia in men, and MHPG concentrations in men with psychotic disorder. Further analyses in 111 healthy individuals revealed that 41 of the 42 nominal associations were restricted to patients with psychosis and were absent in healthy controls.

    CONCLUSIONS: The present study suggests that altered monoamine turnover rates in CNS reflect intermediate steps in the associations between SNPs and psychosis.

    Fulltekst (pdf)
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  • 14. Andres, Olga
    et al.
    Rönn, Ann-Charlotte
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin.
    Bonhomme, Maxime
    Keller-Mann, Thomas
    Crouau-Roy, Brigitte
    Doxiadis, Gaby
    Verschoor, Ernst J.
    Goossens, Benoit
    Domingo-Roura, Xavier
    Bruford, Michael W.
    Bosch, Montserrat
    Syvänen, Ann-Christine
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin.
    A microarray system for Y chromosomal and mitochondrial single nucleotide polymorphism analysis in chimpanzee populations2008Inngår i: Molecular Ecology Notes, ISSN 1471-8278, E-ISSN 1471-8286, Vol. 8, nr 3, s. 529-539Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Chimpanzee populations are diminishing as a consequence of human activities, and as a result this species is now endangered. In the context of conservation programmes, genetic data can add vital information, for instance on the genetic diversity and structure of threatened populations. Single nucleotide polymorphisms (SNP) are biallelic markers that are widely used in human molecular studies and can be implemented in efficient microarray systems. This technology offers the potential of robust, multiplexed SNP genotyping at low reagent cost in other organisms than humans, but it is not commonly used yet in wild population studies. Here, we describe the characterization of new SNPs in Y-chromosomal intronic regions in chimpanzees and also identify SNPs from mitochondrial genes, with the aim of developing a microarray system that permits the simultaneous study of both paternal and maternal lineages. Our system consists of 42 SNPs for the Y chromosome and 45 SNPs for the mitochondrial genome. We demonstrate the applicability of this microarray in a captive population where genotypes accurately reflected its large pedigree. Two wild-living populations were also analysed and the results show that the microarray will be a useful tool alongside microsatellite markers, since it supplies complementary information about population structure and ecology. SNP genotyping using microarray technology, therefore, is a promising approach and may become an essential tool in conservation genetics to help in the management and study of captive and wild-living populations. Moreover, microarrays that combine SNPs from different genomic regions could replace microsatellite typing in the future.

  • 15. Andrés, Olga
    et al.
    Rönn, Ann-Charlotte
    Uppsala universitet, Medicinska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin.
    Ferrando, Aïnhoa
    Bosch, Montserrat
    Domingo-Roura, Xavier
    Sequence quality is maintained after multiple displacement amplification of non-invasively obtained macaque semen DNA2006Inngår i: Biotechnology Journal, ISSN 1860-7314, Vol. 1, nr 4, s. 466-469Artikkel i tidsskrift (Fagfellevurdert)
  • 16. Arking, Dan E
    et al.
    Pulit, Sara L
    Crotti, Lia
    van der Harst, Pim
    Munroe, Patricia B
    Koopmann, Tamara T
    Sotoodehnia, Nona
    Rossin, Elizabeth J
    Morley, Michael
    Wang, Xinchen
    Johnson, Andrew D
    Lundby, Alicia
    Gudbjartsson, Daníel F
    Noseworthy, Peter A
    Eijgelsheim, Mark
    Bradford, Yuki
    Tarasov, Kirill V
    Dörr, Marcus
    Müller-Nurasyid, Martina
    Lahtinen, Annukka M
    Nolte, Ilja M
    Smith, Albert Vernon
    Bis, Joshua C
    Isaacs, Aaron
    Newhouse, Stephen J
    Evans, Daniel S
    Post, Wendy S
    Waggott, Daryl
    Lyytikäinen, Leo-Pekka
    Hicks, Andrew A
    Eisele, Lewin
    Ellinghaus, David
    Hayward, Caroline
    Navarro, Pau
    Ulivi, Sheila
    Tanaka, Toshiko
    Tester, David J
    Chatel, Stéphanie
    Gustafsson, Stefan
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär epidemiologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Kumari, Meena
    Morris, Richard W
    Naluai, Asa T
    Padmanabhan, Sandosh
    Kluttig, Alexander
    Strohmer, Bernhard
    Panayiotou, Andrie G
    Torres, Maria
    Knoflach, Michael
    Hubacek, Jaroslav A
    Slowikowski, Kamil
    Raychaudhuri, Soumya
    Kumar, Runjun D
    Harris, Tamara B
    Launer, Lenore J
    Shuldiner, Alan R
    Alonso, Alvaro
    Bader, Joel S
    Ehret, Georg
    Huang, Hailiang
    Kao, W H Linda
    Strait, James B
    Macfarlane, Peter W
    Brown, Morris
    Caulfield, Mark J
    Samani, Nilesh J
    Kronenberg, Florian
    Willeit, Johann
    Smith, J Gustav
    Greiser, Karin H
    Meyer Zu Schwabedissen, Henriette
    Werdan, Karl
    Carella, Massimo
    Zelante, Leopoldo
    Heckbert, Susan R
    Psaty, Bruce M
    Rotter, Jerome I
    Kolcic, Ivana
    Polašek, Ozren
    Wright, Alan F
    Griffin, Maura
    Daly, Mark J
    Arnar, David O
    Hólm, Hilma
    Thorsteinsdottir, Unnur
    Denny, Joshua C
    Roden, Dan M
    Zuvich, Rebecca L
    Emilsson, Valur
    Plump, Andrew S
    Larson, Martin G
    O'Donnell, Christopher J
    Yin, Xiaoyan
    Bobbo, Marco
    D'Adamo, Adamo P
    Iorio, Annamaria
    Sinagra, Gianfranco
    Carracedo, Angel
    Cummings, Steven R
    Nalls, Michael A
    Jula, Antti
    Kontula, Kimmo K
    Marjamaa, Annukka
    Oikarinen, Lasse
    Perola, Markus
    Porthan, Kimmo
    Erbel, Raimund
    Hoffmann, Per
    Jöckel, Karl-Heinz
    Kälsch, Hagen
    Nöthen, Markus M
    den Hoed, Marcel
    Loos, Ruth J F
    Thelle, Dag S
    Gieger, Christian
    Meitinger, Thomas
    Perz, Siegfried
    Peters, Annette
    Prucha, Hanna
    Sinner, Moritz F
    Waldenberger, Melanie
    de Boer, Rudolf A
    Franke, Lude
    van der Vleuten, Pieter A
    Beckmann, Britt Maria
    Martens, Eimo
    Bardai, Abdennasser
    Hofman, Nynke
    Wilde, Arthur A M
    Behr, Elijah R
    Dalageorgou, Chrysoula
    Giudicessi, John R
    Medeiros-Domingo, Argelia
    Barc, Julien
    Kyndt, Florence
    Probst, Vincent
    Ghidoni, Alice
    Insolia, Roberto
    Hamilton, Robert M
    Scherer, Stephen W
    Brandimarto, Jeffrey
    Margulies, Kenneth
    Moravec, Christine E
    Greco M, Fabiola Del
    Fuchsberger, Christian
    O'Connell, Jeffrey R
    Lee, Wai K
    Watt, Graham C M
    Campbell, Harry
    Wild, Sarah H
    El Mokhtari, Nour E
    Frey, Norbert
    Asselbergs, Folkert W
    Mateo Leach, Irene
    Navis, Gerjan
    van den Berg, Maarten P
    van Veldhuisen, Dirk J
    Kellis, Manolis
    Krijthe, Bouwe P
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper.
    Franco, Oscar H
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper.
    Hofman, Albert
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper.
    Kors, Jan A
    Uitterlinden, André G
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper.
    Witteman, Jacqueline C M
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper.
    Kedenko, Lyudmyla
    Lamina, Claudia
    Oostra, Ben A
    Abecasis, Gonçalo R
    Lakatta, Edward G
    Mulas, Antonella
    Orrú, Marco
    Schlessinger, David
    Uda, Manuela
    Markus, Marcello R P
    Völker, Uwe
    Snieder, Harold
    Spector, Timothy D
    Ärnlöv, Johan
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär epidemiologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Lind, Lars
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Kardiovaskulär epidemiologi.
    Sundström, Johan
    Syvänen, Ann-Christine
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Kivimaki, Mika
    Kähönen, Mika
    Mononen, Nina
    Raitakari, Olli T
    Viikari, Jorma S
    Adamkova, Vera
    Kiechl, Stefan
    Brion, Maria
    Nicolaides, Andrew N
    Paulweber, Bernhard
    Haerting, Johannes
    Dominiczak, Anna F
    Nyberg, Fredrik
    Whincup, Peter H
    Hingorani, Aroon D
    Schott, Jean-Jacques
    Bezzina, Connie R
    Ingelsson, Erik
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär epidemiologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Ferrucci, Luigi
    Gasparini, Paolo
    Wilson, James F
    Rudan, Igor
    Franke, Andre
    Mühleisen, Thomas W
    Pramstaller, Peter P
    Lehtimäki, Terho J
    Paterson, Andrew D
    Parsa, Afshin
    Liu, Yongmei
    van Duijn, Cornelia M
    Siscovick, David S
    Gudnason, Vilmundur
    Jamshidi, Yalda
    Salomaa, Veikko
    Felix, Stephan B
    Sanna, Serena
    Ritchie, Marylyn D
    Stricker, Bruno H
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper.
    Stefansson, Kari
    Boyer, Laurie A
    Cappola, Thomas P
    Olsen, Jesper V
    Lage, Kasper
    Schwartz, Peter J
    Kääb, Stefan
    Chakravarti, Aravinda
    Ackerman, Michael J
    Pfeufer, Arne
    de Bakker, Paul I W
    Newton-Cheh, Christopher
    Genetic association study of QT interval highlights role for calcium signaling pathways in myocardial repolarization.2014Inngår i: Nature Genetics, ISSN 1061-4036, E-ISSN 1546-1718, Vol. 46, nr 8, s. 826-836Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    The QT interval, an electrocardiographic measure reflecting myocardial repolarization, is a heritable trait. QT prolongation is a risk factor for ventricular arrhythmias and sudden cardiac death (SCD) and could indicate the presence of the potentially lethal mendelian long-QT syndrome (LQTS). Using a genome-wide association and replication study in up to 100,000 individuals, we identified 35 common variant loci associated with QT interval that collectively explain ∼8-10% of QT-interval variation and highlight the importance of calcium regulation in myocardial repolarization. Rare variant analysis of 6 new QT interval-associated loci in 298 unrelated probands with LQTS identified coding variants not found in controls but of uncertain causality and therefore requiring validation. Several newly identified loci encode proteins that physically interact with other recognized repolarization proteins. Our integration of common variant association, expression and orthogonal protein-protein interaction screens provides new insights into cardiac electrophysiology and identifies new candidate genes for ventricular arrhythmias, LQTS and SCD.

  • 17.
    Bacic, Luka
    et al.
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Sabantsev, Anton
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Biologiska sektionen, Institutionen för cell- och molekylärbiologi, Molekylär systembiologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Deindl, Sebastian
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Biologiska sektionen, Institutionen för cell- och molekylärbiologi, Molekylär systembiologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Recent advances in single-molecule fluorescence microscopy render structural biology dynamic2020Inngår i: Current opinion in structural biology, ISSN 0959-440X, E-ISSN 1879-033X, Vol. 65, s. 61-68Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Single-molecule fluorescence microscopy has long been appreciated as a powerful tool to study the structural dynamics that enable biological function of macromolecules. Recent years have witnessed the development of more complex single-molecule fluorescence techniques as well as powerful combinations with structural approaches to obtain mechanistic insights into the workings of various molecular machines and protein complexes. In this review, we highlight these developments that together bring us one step closer to a dynamic understanding of biological processes in atomic details.

    Fulltekst (pdf)
    fulltext
  • 18. Bahl, Aileen
    et al.
    Pöllänen, Eija
    Ismail, Khadeeja
    Sipilä, Sarianna
    Mikkola, Tuija M
    Berglund, Eva C
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Lindqvist, Carl Mårten
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Syvänen, Ann-Christine
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Rantanen, Taina
    Kaprio, Jaakko
    Kovanen, Vuokko
    Ollikainen, Miina
    Hormone Replacement Therapy Associated White Blood Cell DNA Methylation and Gene Expression are Associated With Within-Pair Differences of Body Adiposity and Bone Mass2015Inngår i: Twin Research and Human Genetics, ISSN 1832-4274, E-ISSN 1839-2628, Vol. 18, nr 6, s. 647-661Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    The loss of estrogen during menopause causes changes in the female body, with wide-ranging effects on health. Estrogen-containing hormone replacement therapy (HRT) leads to a relief of typical menopausal symptoms, benefits bone and muscle health, and is associated with tissue-specific gene expression profiles. As gene expression is controlled by epigenetic factors (including DNA methylation), many of which are environmentally sensitive, it is plausible that at least part of the HRT-associated gene expression is due to changes in DNA methylation profile. We investigated genome-wide DNA methylation and gene expression patterns of white blood cells (WBCs) and their associations with body composition, including muscle and bone measures of monozygotic (MZ) female twin pairs discordant for HRT. We identified 7,855 nominally significant differentially methylated regions (DMRs) associated with 4,044 genes. Of the genes with DMRs, five (ACBA1, CCL5, FASLG, PPP2R2B, and UHRF1) were also differentially expressed. All have been previously associated with HRT or estrogenic regulation, but not with HRT-associated DNA methylation. All five genes were associated with bone mineral content (BMC), and ABCA1, FASLG, and UHRF1 were also associated with body adiposity. Our study is the first to show that HRT associates with genome-wide DNA methylation alterations in WBCs. Moreover, we show that five differentially expressed genes with DMRs associate with clinical measures, including body fat percentage, lean body mass, bone mass, and blood lipids. Our results indicate that at least part of the known beneficial HRT effects on body composition and bone mass may be regulated by DNA methylation associated alterations in gene expression in circulating WBCs.

  • 19.
    Bazov, Igor
    et al.
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Farmaceutiska fakulteten, Institutionen för farmaceutisk biovetenskap.
    Sarkisyan, Daniil
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Farmaceutiska fakulteten, Institutionen för farmaceutisk biovetenskap.
    Kononenko, Olga
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Farmaceutiska fakulteten, Institutionen för farmaceutisk biovetenskap.
    Watanabe, Hiroyuki
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Farmaceutiska fakulteten, Institutionen för farmaceutisk biovetenskap.
    Taqi, Malik Mumtaz
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Farmaceutiska fakulteten, Institutionen för farmaceutisk biovetenskap. Faculty of Medicine, NORMENT, University of Oslo, Oslo, Norway.
    Stålhandske, Lada
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Farmaceutiska fakulteten, Institutionen för farmaceutisk biovetenskap.
    Verbeek, Dineke S
    Department of Genetics, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands.
    Mulder, Jan
    Department of Neuroscience, Science for Life Laboratory, Karolinska Institute, Stockholm, Sweden.
    Rajkowska, Grazyna
    Department of Psychiatry and Human Behavior, University of Mississippi Medical Center, Jackson, MS, USA.
    Sheedy, Donna
    Discipline of Pathology, Sydney Medical School, University of Sydney, Sydney NSW, Australia.
    Kril, Jillian
    Discipline of Pathology, Sydney Medical School, University of Sydney, Sydney NSW, Australia.
    Sun, Xueguang
    Zymo Research Corporation, 17062 Murphy Avenue, Irvine, CA, USA; Division of Human Genetics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA.
    Syvänen, Ann-Christine
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Yakovleva, Tatiana
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Farmaceutiska fakulteten, Institutionen för farmaceutisk biovetenskap.
    Bakalkin, Georgy
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Farmaceutiska fakulteten, Institutionen för farmaceutisk biovetenskap.
    Neuronal Expression of Opioid Gene is Controlled by Dual Epigenetic and Transcriptional Mechanism in Human Brain2018Inngår i: Cerebral Cortex, ISSN 1047-3211, E-ISSN 1460-2199, Vol. 28, nr 9, s. 3129-3142Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Molecular mechanisms that define patterns of neuropeptide expression are essential for the formation and rewiring of neural circuits. The prodynorphin gene (PDYN) gives rise to dynorphin opioid peptides mediating depression and substance dependence. We here demonstrated that PDYN is expressed in neurons in human dorsolateral prefrontal cortex (dlPFC), and identified neuronal differentially methylated region in PDYN locus framed by CCCTC-binding factor binding sites. A short, nucleosome size human-specific promoter CpG island (CGI), a core of this region may serve as a regulatory module, which is hypomethylated in neurons, enriched in 5-hydroxymethylcytosine, and targeted by USF2, a methylation-sensitive E-box transcription factor (TF). USF2 activates PDYN transcription in model systems, and binds to nonmethylated CGI in dlPFC. USF2 and PDYN expression is correlated, and USF2 and PDYN proteins are co-localized in dlPFC. Segregation of activatory TF and repressive CGI methylation may ensure contrasting PDYN expression in neurons and glia in human brain.

  • 20.
    Benedict, Christian
    et al.
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för neurovetenskap, Funktionell farmakologi.
    Axelsson, Tomas
    Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin.
    Söderberg, Stefan
    Larsson, Anders
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Biokemisk struktur och funktion.
    Ingelsson, Erik
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär epidemiologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Lind, Lars
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Kardiovaskulär epidemiologi.
    Schiöth, Helgi B
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för neurovetenskap, Funktionell farmakologi.
    The fat mass and obesity-associated gene (FTO) is linked to higher plasma levels of the hunger hormone ghrelin and lower serum levels of the satiety hormone leptin in older adults2014Inngår i: Diabetes, ISSN 0012-1797, E-ISSN 1939-327X, Vol. 63, nr 11, s. 3955-3959Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    The mechanisms through which common polymorphisms in the fat mass and obesity-associated gene (FTO) drive the development of obesity in humans are poorly understood. By using C: ross-sectional data from 985 elderly (50% females) who participated at age 70 years in the Prospective Investigation of the Vasculature in Uppsala Seniors, circulating levels of ghrelin and leptin were measured after an overnight fast. In addition, subjects were genotyped for FTO rs17817449 (AA, n=345 (35%); AC/CA, n=481 (48.8%); CC, n=159 (16.1%). Linear regression analyses controlling for sex, self-reported physical activity level, fasting plasma glucose, and body mass index were utilized. A positive relationship between the number of FTO C risk alleles and plasma ghrelin levels was found (P=0.005; relative plasma ghrelin difference between CC and AA carriers = ∼9%). In contrast, serum levels of the satiety enhancing hormone leptin were inversely linked to the number of FTO C risk alleles (P=0.001; relative serum leptin difference between CC and AA carriers = ∼11%). These associations were also found when controlling for waist circumference. The present findings suggest that FTO may facilitate weight gain in humans by shifting the endocrine balance from the satiety hormone leptin toward the hunger promoting hormone ghrelin.

  • 21. Bentham, James
    et al.
    Morris, David L
    Cunninghame Graham, Deborah S
    Pinder, Christopher L
    Tombleson, Philip
    Behrens, Timothy W
    Martín, Javier
    Fairfax, Benjamin P
    Knight, Julian C
    Chen, Lingyan
    Replogle, Joseph
    Syvänen, Ann-Christine
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Rönnblom, Lars
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Reumatologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Graham, Robert R
    Wither, Joan E
    Rioux, John D
    Alarcón-Riquelme, Marta E
    Vyse, Timothy J
    Genetic association analyses implicate aberrant regulation of innate and adaptive immunity genes in the pathogenesis of systemic lupus erythematosus2015Inngår i: Nature Genetics, ISSN 1061-4036, E-ISSN 1546-1718, Vol. 47, nr 12, s. 1457-1464Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Systemic lupus erythematosus (SLE) is a genetically complex autoimmune disease characterized by loss of immune tolerance to nuclear and cell surface antigens. Previous genome-wide association studies (GWAS) had modest sample sizes, reducing their scope and reliability. Our study comprised 7,219 cases and 15,991 controls of European ancestry, constituting a new GWAS, a meta-analysis with a published GWAS and a replication study. We have mapped 43 susceptibility loci, including ten new associations. Assisted by dense genome coverage, imputation provided evidence for missense variants underpinning associations in eight genes. Other likely causal genes were established by examining associated alleles for cis-acting eQTL effects in a range of ex vivo immune cells. We found an over-representation (n = 16) of transcription factors among SLE susceptibility genes. This finding supports the view that aberrantly regulated gene expression networks in multiple cell types in both the innate and adaptive immune response contribute to the risk of developing SLE.

  • 22.
    Berggren, Olof
    et al.
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Reumatologi.
    Alexsson, Andrei
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Reumatologi.
    Morris, David
    King’s College London School of Medicine, Guy’s Hospital, London.
    Tandre, Karolina
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Reumatologi.
    Weber, Gert
    Free University of Berlin.
    Vyse, Timothy
    King’s College London School of Medicine, Guy’s Hospital, London.
    Syvänen, Ann-Christine
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin.
    Rönnblom, Lars
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Reumatologi.
    Eloranta, Maija-Leena
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Reumatologi.
    IFN-α production by plasmacytoid dendritic cell associations with polymorphisms in gene loci related to autoimmune and inflammatory diseases2015Inngår i: Human Molecular Genetics, ISSN 0964-6906, E-ISSN 1460-2083, Vol. 24, nr 12, s. 3571-3581Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    The type I interferon (IFN) system is persistently activated in systemic lupus erythematosus (SLE) and many other systemic autoimmune diseases. Studies have shown an association between SLE and several gene variants within the type I IFN system. We investigated whether single nucleotide polymorphisms (SNPs) associated with SLE and other autoimmune diseases affect the IFN-α production in healthy individuals. Plasmacytoid dendritic cells (pDCs), B and NK cells were isolated from peripheral blood of healthy individuals and stimulated with RNA-containing immune complexes (IC), herpes simplex virus (HSV) or the oligonucleotide ODN2216. IFN-α production by pDCs alone or in cocultures with B or NK cells was measured by an immunoassay. All donors were genotyped with the 200K ImmunoChip and a 5bp CGGGG length polymorphism in the IFN regulatory factor 5 gene (IRF5) was genotyped by PCR. We found associations between IFN-α production and 18-86 SNPs (p ≤ 0.001), depending on the combination of the stimulated cell types. However, only three of these associated SNPs were shared between the cell type combinations. Several SNPs showed novel associations to the type I IFN system among all the associated SNPs, while some loci have been described earlier for their association with SLE. Furthermore, we found that the SLE-risk variant of the IRF5 CGGGG-indel was associated with lower IFN-α production. We conclude that the genetic variants affecting the IFN-α production highlight the intricate regulation of the type I IFN system and the importance of understanding the mechanisms behind the dysregulated type I IFN system in SLE.

  • 23.
    Berglund, Eva C
    et al.
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Kiialainen, Anna
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Syvänen, Ann-Christine
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Next generation sequencing technologies and applications for human Genetic History and Forensics2011Inngår i: Investigative Genetics, E-ISSN 2041-2223, Vol. 2, nr 1, s. 23-Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    The rapid advances in the development of sequencing technologies in recent years enable an increasing number of applications in biology and medicine. Here we review key technical aspects of the preparation of DNA templates for sequencing, the biochemical reaction principles and assay formats underlying next generation sequencing systems, methods for imaging and base calling, quality control, and bioinformatic approaches for sequence alignment, variant calling and assembly. We also discuss some of the most important advances that the new sequencing technologies have brought to the fields of human population genetics, human genetic history and forensic genetics.

  • 24.
    Berglund, Eva C
    et al.
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Lindqvist, Carl Mårten
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Hayat, Shahina
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Overnäs, Elin
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Henriksson, Niklas
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Nordlund, Jessica
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Wahlberg, Per
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Forestier, Erik
    Lönnerholm, Gudmar
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för kvinnors och barns hälsa.
    Syvänen, Ann-Christine
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Accurate detection of subclonal single nucleotide variants in whole genome amplified and pooled cancer samples using HaloPlex target enrichment2013Inngår i: BMC Genomics, E-ISSN 1471-2164, Vol. 14, nr 1, s. 856-Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    BACKGROUND:

    Target enrichment and resequencing is a widely used approach for identification of cancer genes and genetic variants associated with diseases. Although cost effective compared to whole genome sequencing, analysis of many samples constitutes a significant cost, which could be reduced by pooling samples before capture. Another limitation to the number of cancer samples that can be analyzed is often the amount of available tumor DNA. We evaluated the performance of whole genome amplified DNA and the power to detect subclonal somatic single nucleotide variants in non-indexed pools of cancer samples using the HaloPlex technology for target enrichment and next generation sequencing.

    RESULTS:

    We captured a set of 1528 putative somatic single nucleotide variants and germline SNPs, which were identified by whole genome sequencing, with the HaloPlex technology and sequenced to a depth of 792--1752. We found that the allele fractions of the analyzed variants are well preserved during whole genome amplification and that capture specificity or variant calling is not affected. We detected a large majority of the known single nucleotide variants present uniquely in one sample with allele fractions as low as 0.1 in non-indexed pools of up to ten samples. We also identified and experimentally validated six novel variants in the samples included in the pools.

    CONCLUSION:

    Our work demonstrates that whole genome amplified DNA can be used for target enrichment equally well as genomic DNA and that accurate variant detection is possible in non-indexed pools of cancer samples. These findings show that analysis of a large number of samples is feasible at low cost, even when only small amounts of DNA is available, and thereby significantly increases the chances of indentifying recurrent mutations in cancer samples.

  • 25.
    Bergmann, Anke K.
    et al.
    Christian Albrechts Univ Kiel, Univ Hosp Schleswig Holstein, Inst Human Genet, Campus Kiel,Schwanenweg 24, Kiel, Germany.;Christian Albrechts Univ Kiel, Univ Hosp Schleswig Holstein, Dept Pediat, Campus Kiel, Kiel, Germany..
    Castellano, Giancarlo
    Univ Barcelona, Inst Biomed August Pi Sunyer IDIBAPS, Dept Analomia Palol & Microbiol, Dept Farmacol & Microbiol, Barcelona, Spain..
    Alten, Julia
    Christian Albrechts Univ Kiel, Univ Hosp Schleswig Holstein, Dept Pediat, Campus Kiel, Kiel, Germany..
    Ammerpohl, Ole
    Christian Albrechts Univ Kiel, Univ Hosp Schleswig Holstein, Inst Human Genet, Campus Kiel,Schwanenweg 24, Kiel, Germany..
    Kolarova, Julia
    Christian Albrechts Univ Kiel, Univ Hosp Schleswig Holstein, Inst Human Genet, Campus Kiel,Schwanenweg 24, Kiel, Germany.;Univ Ulm, Univ Med Ctr Ulm, Inst Human Genet, Ulm, Germany..
    Nordlund, Jessica
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Martin-Subero, Jose Ignacio
    Univ Barcelona, Inst Biomed August Pi Sunyer IDIBAPS, Dept Analomia Palol & Microbiol, Dept Farmacol & Microbiol, Barcelona, Spain..
    Schrappe, Martin
    Christian Albrechts Univ Kiel, Univ Hosp Schleswig Holstein, Dept Pediat, Campus Kiel, Kiel, Germany..
    Siebert, Reiner
    Christian Albrechts Univ Kiel, Univ Hosp Schleswig Holstein, Inst Human Genet, Campus Kiel,Schwanenweg 24, Kiel, Germany.;Univ Ulm, Univ Med Ctr Ulm, Inst Human Genet, Ulm, Germany..
    DNA methylation profiling of pediatric B-cell lymphoblastic leukemia with KMT2A rearrangement identifies hypomethylation at enhancer sites2017Inngår i: Pediatric Blood & Cancer, ISSN 1545-5009, E-ISSN 1545-5017, Vol. 64, nr 3, artikkel-id e26251Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Deregulation of the epigenome is an important pathogenetic mechanism in acute lymphoblastic leukemia (ALL) with lysine (K)-specific methyltransferase 2A rearrangement (KMT2Ar). We performed array-based DNA methylation profiling of KMT2Ar ALL cells from 26 children in comparison to normal B-cell precursors. Significant changes in DNA methylation in KMT2Ar ALL were identified in 2,545 CpG loci, influenced by age and the translocation partners AFF1 and MLLT1. In KMT2Ar ALL, DNA methylation loss was enriched at enhancers and for certain transcription factor binding sites such as BCL11A, EBF, and MEF2A. In summary, DNA methylation changes in KMT2Ar ALL target enhancers, genes involved in leukemogenesis and normal hematopoiesis, as well as transcription factor networks.

  • 26. Berruti, Alfredo
    et al.
    Fassnacht, Martin
    Baudin, Eric
    Hammer, Gary
    Haak, Harm
    Leboulleux, Sophie
    Skogseid, Britt
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin.
    Allolio, Bruno
    Terzolo, Massimo
    Adjuvant therapy in patients with adrenocortical carcinoma: a position of an international panel2010Inngår i: Journal of Clinical Oncology, ISSN 0732-183X, E-ISSN 1527-7755, Vol. 28, nr 23, s. e401-e402Artikkel i tidsskrift (Fagfellevurdert)
  • 27.
    Björk, Albin
    et al.
    Karolinska Inst, Div Rheumatol, Dept Med, Stockholm, Sweden..
    Andersson, Elina Richardsdotter
    Karolinska Inst, Div Rheumatol, Dept Med, Stockholm, Sweden..
    Imgenberg-Kreuz, Juliana
    Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Reumatologi.
    Thorlacius, Gudny Ella
    Karolinska Inst, Div Rheumatol, Dept Med, Stockholm, Sweden..
    Mofors, Johannes
    Karolinska Inst, Div Rheumatol, Dept Med, Stockholm, Sweden..
    Syvänen, Ann-Christine
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Kvarnström, Marika
    Karolinska Inst, Div Rheumatol, Dept Med, Stockholm, Sweden..
    Nordmark, Gunnel
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Reumatologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Wahren-Herlenius, Marie
    Karolinska Inst, Div Rheumatol, Dept Med, Stockholm, Sweden..
    Protein and DNA methylation-based scores as surrogate markers for interferon system activation in patients with primary Sjögren's syndrome2020Inngår i: RMD Open, E-ISSN 2056-5933, Vol. 6, nr 1, artikkel-id e000995Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Objective: Standard assessment of interferon (IFN) system activity in systemic rheumatic diseases depends on the availability of RNA samples. In this study, we describe and evaluate alternative methods using plasma, serum and DNA samples, exemplified in the IFN-driven disease primary Sjogren's syndrome (pSS).

    Methods: Patients with pSS seropositive or negative for anti-SSA/SSB and controls were included. Protein-based IFN (pIFN) scores were calculated from levels of PD-1, CXCL9 and CXCL10. DNA methylation-based (DNAm) IFN scores were calculated from DNAm levels at RSAD2, IFIT1 and IFI44L. Scores were compared with mRNA-based IFN scores measured by quantitative PCR (qPCR), Nanostring or RNA sequencing (RNAseq).

    Results: mRNA-based IFN scores displayed strong correlations between B cells and monocytes (r=0.93 and 0.95, p<0.0001) and between qPCR and Nanostring measurements (r=0.92 and 0.92, p<0.0001). The pIFN score in plasma and serum was higher in patients compared with controls (p<0.0001) and correlated well with mRNA-based IFN scores (r=0.62-0.79, p<0.0001), as well as with each other (r=0.94, p<0.0001). Concordance of classification as 'high' or 'low' IFN signature between the pIFN score and mRNA-based IFN scores ranged from 79.5% to 88.6%, and the pIFN score was effective at classifying patients and controls (area under the curve, AUC=0.89-0.93, p<0.0001). The DNAm IFN score showed strong correlation to the RNAseq IFN score (r=0.84, p<0.0001) and performed well in classifying patients and controls (AUC=0.96, p<0.0001).

    Conclusions: We describe novel methods of assessing IFN system activity in plasma, serum or DNA samples, which may prove particularly valuable in studies where RNA samples are not available.

    Fulltekst (pdf)
    FULLTEXT01
  • 28. Blom, Titta S
    et al.
    Linder, Matts D
    Snow, Karen
    Pihko, Helena
    Hess, Michael W
    Jokitalo, Eija
    Veckman, Ville
    Syvänen, Ann-Christine
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin.
    Ikonen, Elina
    Defective endocytic trafficking of NPC1 and NPC2 underlying infantile Niemann-Pick type C disease2003Inngår i: Human Molecular Genetics, ISSN 0964-6906, E-ISSN 1460-2083, Vol. 12, nr 3, s. 257-272Artikkel i tidsskrift (Annet vitenskapelig)
    Abstract [en]

    Niemann–Pick type C (NPC) disease is a fatal recessively inherited lysosomal cholesterol-sphingolipidosis. Mutations in the NPC1 gene cause ∼95% of the cases, the rest being caused by NPC2 mutations. Here the molecular basis of a severe infantile form of the disease was dissected. The level of NPC1 protein in the patient fibroblasts was similar to that in control cells. However, the protein was partially mislocalized from late endocytic organelles diffusely to the cell periphery. In contrast, NPC2 was upregulated and accumulated in cholesterol storing late endocytic organelles. Two point mutations and a four-nucleotide deletion were identified in the NPC1 gene, leading to the amino acid substitutions C113R, P237S and deletion of 37 C-terminal amino acids (delC). Overexpression of individual NPC1 mutations revealed that delC produced an unstable protein, wild-type and NPC1-P237S colocalized with Rab7-positive late endosomes whereas NPC1-C113R localized to the ER, Rab7-negative endosomes and the cell surface. Expression of wild-type or NPC1-P237S cleared the lysosomal cholesterol accumulation in NPC1-deficient cells whereas C113R or delC did not. In the Finnish and Swedish population samples, alleles carrying C113R or delC were not identified, whereas ∼5% of the alleles carried P237S. Our studies identify P237S as a prevalent NPC1 polymorphism and delC and C113R as deleterious NPC1 mutations. Moreover, they show that delC leads to rapid degradation of NPC1 and C113R to endocytic missorting of the protein. These changes are accompanied by lysosomal accumulation of NPC2, suggesting that NPC1 governs the endocytic transport of NPC2.

  • 29. Boeger, Carsten A.
    et al.
    Chen, Ming-Huei
    Tin, Adrienne
    Olden, Matthias
    Koettgen, Anna
    de Boer, Ian H.
    Fuchsberger, Christian
    O'Seaghdha, Conall M.
    Pattaro, Cristian
    Teumer, Alexander
    Liu, Ching-Ti
    Glazer, Nicole L.
    Li, Man
    O'Conne, Jeffrey R.
    Tanaka, Toshiko
    Peralta, Carmen A.
    Kutalik, Zoltan
    Luan, Jian'an
    Zhao, Jing Hua
    Hwang, Shih-Jen
    Akylbekova, Ermeg
    Kramer, Holly
    van der Harst, Pim
    Smith, Albert V.
    Lohman, Kurt
    de Andrade, Mariza
    Hayward, Caroline
    Kollerits, Barbara
    Toenjes, Anke
    Aspelund, Thor
    Ingelsson, Erik
    Eiriksdottir, Gudny
    Launer, Lenore J.
    Harris, Tamara B.
    Shuldiner, Alan R.
    Mitchell, Braxton D.
    Arking, Dan E.
    Franceschini, Nora
    Boerwinkle, Eric
    Egan, Josephine
    Hernandez, Dena
    Reilly, Muredach
    Townsend, Raymond R.
    Lumley, Thomas
    Siscovick, David S.
    Psaty, Bruce M.
    Kestenbaum, Bryan
    Haritunians, Talin
    Bergmann, Sven
    Vollenweider, Peter
    Waeber, Gerard
    Mooser, Vincent
    Waterworth, Dawn
    Johnson, Andrew D.
    Florez, Jose C.
    Meigs, James B.
    Lu, Xiaoning
    Turner, Stephen T.
    Atkinson, Elizabeth J.
    Leak, Tennille S.
    Aasarod, Knut
    Skorpen, Frank
    Syvänen, Ann-Christine
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Illig, Thomas
    Baumert, Jens
    Koenig, Wolfgang
    Kraemer, Bernhard K.
    Devuyst, Olivier
    Mychaleckyj, Josyf C.
    Minelli, Cosetta
    Bakker, Stephan J. L.
    Kedenko, Lyudmyla
    Paulweber, Bernhard
    Coassin, Stefan
    Endlich, Karlhans
    Kroemer, Heyo K.
    Biffar, Reiner
    Stracke, Sylvia
    Voelzke, Henry
    Stumvol, Michael
    Maegi, Reedik
    Campbell, Harry
    Vitart, Veronique
    Hastie, Nicholas D.
    Gudnason, Vilmundur
    Kardia, Sharon L. R.
    Liu, Yongmei
    Polasek, Ozren
    Curhan, Gary
    Kronenberg, Florian
    Prokopenko, Inga
    Rudan, Igor
    Ärnlöv, Johan
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för folkhälso- och vårdvetenskap, Geriatrik.
    Hallan, Stein
    Navis, Gerjan
    Parsa, Afshin
    Ferrucci, Luigi
    Coresh, Josef
    Shlipak, Michael G.
    Bul, Shelley B.
    Paterson, Andrew D.
    Wichmann, H. -Erich
    Wareham, Nicholas J.
    Loos, Ruth J. F.
    Rotter, Jerome I.
    Pramstaller, Peter P.
    Cupples, L. Adrienne
    Beckmann, Jacques S.
    Yang, Qiong
    Heid, Iris M.
    Rettig, Rainer
    Dreisbach, Albert W.
    Bochud, Murielle
    Fox, Caroline S.
    Kao, W. H. L.
    CUBN Is a Gene Locus for Albuminuria2011Inngår i: Journal of the American Society of Nephrology, ISSN 1046-6673, E-ISSN 1533-3450, Vol. 22, nr 3, s. 555-570Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Identification of genetic risk factors for albuminuria may alter strategies for early prevention of CKD progression, particularly among patients with diabetes. Little is known about the influence of common genetic variants on albuminuria in both general and diabetic populations. We performed a meta-analysis of data from 63,153 individuals of European ancestry with genotype information from genome-wide association studies (CKDGen Consortium) and from a large candidate gene study (CARe Consortium) to identify susceptibility loci for the quantitative trait urinary albumin-to-creatinine ratio (UACR) and the clinical diagnosis microalbuminuria. We identified an association between a missense variant (I2984V) in the CUBN gene, which encodes cubilin, and both UACR (P = 1.1 x 10(-11)) and microalbuminuria (P = 0.001). We observed similar associations among 6981 African Americans in the CARe Consortium. The associations between this variant and both UACR and microalbuminuria were significant in individuals of European ancestry regardless of diabetes status. Finally, this variant associated with a 41% increased risk for the development of persistent microalbuminuria during 20 years of follow-up among 1304 participants with type 1 diabetes in the prospective DCCT/EDIC Study. In summary, we identified a missense CUBN variant that associates with levels of albuminuria in both the general population and in individuals with diabetes.

  • 30.
    Bolin, Karin
    et al.
    Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper.
    Imgenberg-Kreuz, Juliana
    Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper.
    Leonard, Dag
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Sandling, Johanna K.
    Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper.
    Alexsson, Andrei
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Pucholt, Pascal
    Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper.
    Haarhaus, Malena Loberg
    Carlsson Almlöf, Jonas
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper.
    Nititham, Joanne
    Jönsen, Andreas
    Sjöwall, Christopher
    Bengtsson, Anders A
    Rantapää-Dahlqvist, Solbritt
    Svenungsson, Elisabet
    Gunnarsson, Iva
    Syvänen, Ann-Christine
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Lerang, Karoline
    Troldborg, Anne
    Voss, Anne
    Molberg, Øyvind
    Jacobsen, Søren
    Criswell, Lindsey
    Rönnblom, Lars
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Nordmark, Gunnel
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Variants in BANK1 are associated with lupus nephritis of European ancestry.2021Inngår i: Genes and Immunity, ISSN 1466-4879, E-ISSN 1476-5470, Vol. 22, nr 3, s. 194-202Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    The genetic background of lupus nephritis (LN) has not been completely elucidated. We performed a case-only study of 2886 SLE patients, including 947 (33%) with LN. Renal biopsies were available from 396 patients. The discovery cohort (Sweden, n = 1091) and replication cohort 1 (US, n = 962) were genotyped on the Immunochip and replication cohort 2 (Denmark/Norway, n = 833) on a custom array. Patients with LN, proliferative nephritis, or LN with end-stage renal disease were compared with SLE without nephritis. Six loci were associated with LN (p < 1 × 10-4, NFKBIA, CACNA1S, ITGA1, BANK1, OR2Y, and ACER3) in the discovery cohort. Variants in BANK1 showed the strongest association with LN in replication cohort 1 (p = 9.5 × 10-4) and proliferative nephritis in a meta-analysis of discovery and replication cohort 1. There was a weak association between BANK1 and LN in replication cohort 2 (p = 0.052), and in the meta-analysis of all three cohorts the association was strengthened (p = 2.2 × 10-7). DNA methylation data in 180 LN patients demonstrated methylation quantitative trait loci (meQTL) effects between a CpG site and BANK1 variants. To conclude, we describe genetic variations in BANK1 associated with LN and evidence for genetic regulation of DNA methylation within the BANK1 locus. This indicates a role for BANK1 in LN pathogenesis.

    Fulltekst (pdf)
    fulltext
  • 31.
    Bolin, Karin
    et al.
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Reumatologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala University.
    Leonard, Dag
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Reumatologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Sandling, Johanna K.
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Reumatologi. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär epidemiologi.
    Imgenberg-Kreuz, Juliana
    Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Reumatologi.
    Alexsson, Andrei
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Reumatologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Pucholt, Pascal
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Reumatologi.
    Loberg Haarhaus, Malena
    Department of Medicine, Karolinska Institutet, Stockholm, Sweden.
    Almlöf, Jonas Carlsson
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Nititham, Joanne
    Russell/Engleman Rheumatology Research Center, Department of Medicine, University of California San Francisco, San Francisco, United States of America.
    Jönsen, Andreas
    Department of Rheumatology, Lund University, Lund, Sweden.
    Sjöwall, Christopher
    epartment of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden.
    Bengtsson, Anders A
    Department of Rheumatology, Lund University, Lund, Sweden.
    Rantapää-Dahlqvist, Solbritt
    Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.
    Svenungsson, Elisabet
    Department of Medicine, Karolinska Institutet, Stockholm, Sweden.
    Gunnarsson, Iva
    Department of Medicine, Karolinska Institutet, Stockholm, Sweden.
    Syvänen, Ann-Christine
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär epidemiologi.
    Lerang, Karoline
    Department of Rheumatology, University of Oslo, Oslo, Norway.
    Troldborg, Anne
    Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
    Voss, Anne
    Department of Rheumatology, Odense University Hospital, Odense, Denmark.
    Molberg, Øyvind
    Department of Rheumatology, University of Oslo, Oslo, Norway.
    Jacobsen, Søren
    Department of Clinical Medicine, Copenhagen University Hospital, Copenhagen, Denmark.
    Criswell, Lindsey
    Russell/Engleman Rheumatology Research Center, Department of Medicine, University of California San Francisco, San Francisco, United States of America.
    Rönnblom, Lars
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Reumatologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Nordmark, Gunnel
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Reumatologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Variants in BANK1 are associated with lupus nephritisManuskript (preprint) (Annet vitenskapelig)
    Abstract [en]

    Background: Lupus nephritis (LN) is a cause of significant morbidity in SLE. While the genetic background to SLE has been well characterized, less is known about genes predisposing to LN.

    Methods: The study consisted of 2886 SLE patients, including 947 (33%) with LN. The discovery cohort (Sweden, n=1091) and replication cohort 1 (US, n=962) were genotyped on the Immunochip and replication cohort 2 (Norway/Denmark, n=833) on a custom array chip. Allele frequencies were compared between patients with LN, proliferative nephritis, end-stage renal disease and LN negative patients. SNPs with p-value <0.001 in the discovery cohort were analyzed in replication cohort 1. Ten SNPs associated with LN in the discovery cohort (p<0.0002) were genotyped in replication cohort 2. DNA methylation data were available for 180 LN patients from the discovery cohort.

    Results: In the discovery cohort, six gene loci were associated with LN (p<1x10-4, NFKBIA, CACNA1S, ITGA1, BANK1, OR2Y and PHCA). SNPs in BANK1 showed the strongest association with LN in replication cohort 1 (p=9.5x10-4), with a tendency for an association in replication cohort 2 (p=0.052). In a meta-analysis of all three cohorts the association between LN and BANK1 rs4699259, was strengthened (p=1.7x10‑7). There were no associations to proliferative nephritis or ESRD in the meta-analysis. Methylation quantitative trait loci (MeQTL) effects between a CpG site and several SNPs in BANK1 were identified.

    Conclusion: Genetic variations in BANK1 are associated with LN. There is evidence for genetic regulation of DNA methylation within the BANK1 locus, however, the exact role of BANK1 in LN pathogenesis remains to be elucidated.

  • 32.
    Bolin, Karin
    et al.
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Reumatologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Sandling, Johanna K
    Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin.
    Zickert, Agneta
    Jönsen, Andreas
    Sjöwall, Christopher
    Svenungsson, Elisabet
    Bengtsson, Anders A
    Eloranta, Maija-Leena
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Reumatologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Rönnblom, Lars
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Reumatologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Syvänen, Ann-Christine
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Gunnarsson, Iva
    Nordmark, Gunnel
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Reumatologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Association of STAT4 Polymorphism with Severe Renal Insufficiency in Lupus Nephritis2013Inngår i: PLOS ONE, E-ISSN 1932-6203, Vol. 8, nr 12, s. e84450-Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Lupus nephritis is a cause of significant morbidity in systemic lupus erythematosus (SLE) and its genetic background has not been completely clarified. The aim of this investigation was to analyze single nucleotide polymorphisms (SNPs) for association with lupus nephritis, its severe form proliferative nephritis and renal outcome, in two Swedish cohorts. Cohort I (n = 567 SLE cases, n = 512 controls) was previously genotyped for 5676 SNPs and cohort II (n = 145 SLE cases, n = 619 controls) was genotyped for SNPs in STAT4, IRF5, TNIP1 and BLK.

    Case-control and case-only association analyses for patients with lupus nephritis, proliferative nephritis and severe renal insufficiency were performed. In the case-control analysis of cohort I, four highly linked SNPs in STAT4 were associated with lupus nephritis with genome wide significance with p = 3.7×10−9, OR 2.20 for the best SNP rs11889341. Strong signals of association between IRF5 and an HLA-DR3 SNP marker were also detected in the lupus nephritis case versus healthy control analysis (p <0.0001). An additional six genes showed an association with lupus nephritis with p <0.001 (PMS2, TNIP1, CARD11, ITGAM, BLK and IRAK1). In the case-only meta-analysis of the two cohorts, the STAT4 SNP rs7582694 was associated with severe renal insufficiency with p = 1.6×10−3 and OR 2.22. We conclude that genetic variations in STAT4 predispose to lupus nephritis and a worse outcome with severe renal insufficiency.

    Fulltekst (pdf)
    fulltext
  • 33. Bolstad, Anne Isine
    et al.
    Le Hellard, Stephanie
    Kristjansdottir, Gudlaug
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper.
    Vasaitis, Lilian
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Reumatologi.
    Kvarnström, Marika
    Sjöwall, Christopher
    Johnsen, Svein Joar Auglænd
    Eriksson, Per
    Omdal, Roald
    Brun, Johan G
    Wahren-Herlenius, Marie
    Theander, Elke
    Syvänen, Ann-Christine
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin.
    Rönnblom, Lars
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper.
    Nordmark, Gunnel
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper.
    Jonsson, Roland
    Association between genetic variants in the tumour necrosis factor/lymphotoxin α/lymphotoxin β locus and primary Sjogren's syndrome in Scandinavian samples2012Inngår i: Annals of the Rheumatic Diseases, ISSN 0003-4967, E-ISSN 1468-2060, Vol. 71, nr 6, s. 981-988Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    OBJECTIVES:

    Lymphotoxin β (LTB) has been found to be upregulated in salivary glands of patients with primary Sjögren's syndrome (pSS). An animal model of pSS also showed ablation of the lymphoid organisation and a marked improvement in salivary gland function on blocking the LTB receptor pathway. This study aimed to investigate whether single-nucleotide polymorphisms (SNP) in the lymphotoxin α (LTA)/LTB/tumour necrosis factor (TNF) gene clusters are associated with pSS.

    METHODS:

    527 pSS patients and 532 controls participated in the study, all of Caucasian origin from Sweden and Norway. 14 SNP markers were genotyped and after quality control filtering, 12 SNP were analysed for their association with pSS using single marker and haplotype tests, and corrected by permutation testing.

    RESULTS:

    Nine markers showed significant association with pSS at the p=0.05 level. Markers rs1800629 and rs909253 showed the strongest genotype association (p=1.64E-11 and p=4.42E-08, respectively, after correcting for sex and country of origin). When the analysis was conditioned for the effect of rs1800629, only the association with rs909253 remained nominally significant (p=0.027). In haplotype analyses the strongest effect was observed for the haplotype rs909253G_rs1800629A (p=9.14E-17). The associations were mainly due to anti-Ro/SSA and anti-La/SSB antibody-positive pSS.

    CONCLUSIONS:

    A strong association was found between several SNP in the LTA/LTB/TNFα locus and pSS, some of which led to amino acid changes. These data suggest a role for this locus in the development of pSS. Further studies are needed to examine if the genetic effect described here is independent of the known genetic association between HLA and pSS.

  • 34. Bomfim, Izaura Lima
    et al.
    Wang, Chuan
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin.
    Khademi, Mohsen
    Sandling, Johanna K.
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin.
    Brynedal, Boel
    Lorentzen, Åslaug R
    Søndergaard, Helle Bach
    Oturai, Annette B.
    Celius, Elisabeth Gulowsen
    Alfredsson, Lars
    Syvänen, Ann-Christine
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin.
    Kockum, Ingrid
    Olsson, Tomas
    Hillert, Jan
    IRF5 implicated in the pathogenesis of multiple sclerosis.Manuskript (preprint) (Annet vitenskapelig)
  • 35.
    Borssen, Magnus
    et al.
    Umea Univ, Dept Med Biosci, Blg 6M,2nd Floor, SE-90185 Umea, Sweden..
    Nordlund, Jessica
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Haider, Zahra
    Umea Univ, Dept Med Biosci, Blg 6M,2nd Floor, SE-90185 Umea, Sweden..
    Landfors, Mattias
    Umea Univ, Dept Med Biosci, Blg 6M,2nd Floor, SE-90185 Umea, Sweden..
    Larsson, Pär
    Umea Univ, Dept Med Biosci, Blg 6M,2nd Floor, SE-90185 Umea, Sweden..
    Kanerva, Jukka
    Univ Helsinki, Cent Hosp, Childrens Hosp, Helsinki, Finland..
    Schmiegelow, Kjeld
    Univ Copenhagen, Rigshosp, Dept Paediat & Adolescent Med, Copenhagen, Denmark.;Univ Copenhagen, Inst Clin Med, Copenhagen, Denmark..
    Flaegstad, Trond
    Univ Tromso, Dept Pediat, Tromso, Norway.;Univ Hosp North Norway, Tromso, Norway..
    Jonsson, Olafur Gisli
    Landspitali Univ Hosp, Childrens Hosp, Pediat Hematol Oncol, Reykjavik, Iceland..
    Frost, Britt-Marie
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för kvinnors och barns hälsa.
    Palle, Josefine
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för kvinnors och barns hälsa.
    Forestier, Erik
    Umea Univ, Dept Med Biosci, Blg 6M,2nd Floor, SE-90185 Umea, Sweden..
    Heyman, Mats
    Karolinska Univ Hosp, Karolinska Inst, Dept Womens & Childrens Hlth, Childhood Canc Res Unit, Stockholm, Sweden..
    Hultdin, Magnus
    Umea Univ, Dept Med Biosci, Blg 6M,2nd Floor, SE-90185 Umea, Sweden..
    Lönnerholm, Gudmar
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för kvinnors och barns hälsa.
    Degerman, Sofie
    Umea Univ, Dept Med Biosci, Blg 6M,2nd Floor, SE-90185 Umea, Sweden..
    DNA methylation holds prognostic information in relapsed precursor B-cell acute lymphoblastic leukemia2018Inngår i: Clinical Epigenetics, E-ISSN 1868-7083, Vol. 10, artikkel-id 31Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Background: Few biological markers are associated with survival after relapse of B-cell precursor acute lymphoblastic leukemia (BCP-ALL). In pediatric T-cell ALL, we have identified promoter-associated methylation alterations that correlate with prognosis. Here, the prognostic relevance of CpG island methylation phenotype (CIMP) classification was investigated in pediatric BCP-ALL patients.

    Methods: Six hundred and one BCP-ALL samples from Nordic pediatric patients (age 1-18) were CIMP classified at initial diagnosis and analyzed in relation to clinical data.

    Results: Among the 137 patients that later relapsed, patients with a CIMP-profile (n = 42) at initial diagnosis had an inferior overall survival (pOS(5years) 33%) compared to CIMP+ patients (n = 95, pOS(5years) 65%) (p = 0.001), which remained significant in a Cox proportional hazards model including previously defined risk factors.

    Conclusion: CIMP classification is a strong candidate for improved risk stratification of relapsed BCP-ALL.

    Fulltekst (pdf)
    fulltext
  • 36. Bruzelius, Maria
    et al.
    Strawbridge, Rona J
    Trégouët, David-Alexandre
    Wiggins, Kerri L
    Gertow, Karl
    Sabater-Lleal, Maria
    Ohrvik, John
    Bergendal, Annica
    Silveira, Angela
    Sundström, Anders
    Kieler, Helle
    Syvänen, Ann-Christine
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Smith, Nicholas L
    Morange, Pierre-Emmanuel
    Odeberg, Jacob
    Hamsten, Anders
    Influence of coronary artery disease-associated genetic variants on risk of venous thromboembolism2014Inngår i: Thrombosis Research, ISSN 0049-3848, E-ISSN 1879-2472, Vol. 134, nr 2, s. 426-432Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    INTRODUCTION:

    We investigated whether genetic variations robustly associated with coronary artery disease are also associated with risk of venous thromboembolism in a well-defined, female case-control study (n=2753) from Sweden.

    MATERIALS AND METHODS:

    39 single nucleotide polymorphisms in 32 loci associated with coronary artery disease in genome-wide association studies were identified in a literature search and genotyped in the ThromboEmbolism Hormone Study (TEHS). Association with venous thromboembolism was assessed by logistic regression.

    RESULTS:

    Only rs579459 in the ABO locus demonstrated a significant association with VTE. A tentative association between ANRIL and VTE in the discovery analysis failed to replicate in a meta-analysis of 4 independent cohorts (total n=7181).

    CONCLUSIONS:

    It appears that only the ABO locus is a shared risk factor for coronary artery disease and VTE.

  • 37.
    Bäcklin, Christofer
    et al.
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Cancerfarmakologi och beräkningsmedicin.
    Freyhult, Eva
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Cancerfarmakologi och beräkningsmedicin.
    Frost, Britt-Marie
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för kvinnors och barns hälsa, Pediatrik.
    Palle, Josefine
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för kvinnors och barns hälsa, Pediatrik.
    Larsson, Rolf
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Cancerfarmakologi och beräkningsmedicin.
    Syvänen, Ann-Christine
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin.
    Lönnerholm, Gudmar
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för kvinnors och barns hälsa, Pediatrik.
    Gustafsson, Mats
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Cancerfarmakologi och beräkningsmedicin.
    DNA methylation-based prediction of in vitro drug resistance in primary pediatric acute lymphoblastic leukemia patient samplesManuskript (preprint) (Annet vitenskapelig)
  • 38.
    Carlsson Almlöf, Jonas
    et al.
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Alexsson, Andrei
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Reumatologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Imgenberg-Kreuz, Juliana
    Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin.
    Sylwan, Lina
    Karolinska Inst, Dept Biosci & Nutr, Sci Life Lab SciLifeLab, Solna, Sweden..
    Bäcklin, Christofer
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Leonard, Dag
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Reumatologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Nordmark, Gunnel
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Reumatologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Tandre, Karolina
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Reumatologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Eloranta, Maija-Leena
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Reumatologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Padyukov, Leonid
    Karolinska Univ Hosp, Karolinska Inst, Dept Med, Rheumatol Unit, Stockholm, Sweden..
    Bengtsson, Christine
    Umea Univ, Dept Publ Hlth & Clin Med Rheumatol, Umea, Sweden..
    Jonsen, Andreas
    Lund Univ, Skane Univ Hosp, Dept Clin Sci, Rheumatol, Lund, Sweden..
    Dahlqvist, Solbritt Rantapaa
    Umea Univ, Dept Publ Hlth & Clin Med Rheumatol, Umea, Sweden..
    Sjowall, Christopher
    Linkoping Univ, Dept Clin & Expt Med, AIR Rheumatol, Linkoping, Sweden..
    Bengtsson, Anders A.
    Lund Univ, Skane Univ Hosp, Dept Clin Sci, Rheumatol, Lund, Sweden..
    Gunnarsson, Iva
    Karolinska Univ Hosp, Karolinska Inst, Dept Med, Rheumatol Unit, Stockholm, Sweden..
    Svenungsson, Elisabet
    Karolinska Univ Hosp, Karolinska Inst, Dept Med, Rheumatol Unit, Stockholm, Sweden..
    Rönnblom, Lars
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Reumatologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Sandling, Johanna K.
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Reumatologi.
    Syvänen, Ann-Christine
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Novel risk genes for systemic lupus erythematosus predicted by random forest classification2017Inngår i: Scientific Reports, E-ISSN 2045-2322, Vol. 7, artikkel-id 6236Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Genome-wide association studies have identified risk loci for SLE, but a large proportion of the genetic contribution to SLE still remains unexplained. To detect novel risk genes, and to predict an individual's SLE risk we designed a random forest classifier using SNP genotype data generated on the "Immunochip" from 1,160 patients with SLE and 2,711 controls. Using gene importance scores defined by the random forest classifier, we identified 15 potential novel risk genes for SLE. Of them 12 are associated with other autoimmune diseases than SLE, whereas three genes (ZNF804A, CDK1, and MANF) have not previously been associated with autoimmunity. Random forest classification also allowed prediction of patients at risk for lupus nephritis with an area under the curve of 0.94. By allele-specific gene expression analysis we detected cis-regulatory SNPs that affect the expression levels of six of the top 40 genes designed by the random forest analysis, indicating a regulatory role for the identified risk variants. The 40 top genes from the prediction were overrepresented for differential expression in B and T cells according to RNA-sequencing of samples from five healthy donors, with more frequent over-expression in B cells compared to T cells.

    Fulltekst (pdf)
    fulltext
  • 39.
    Carlsson Almlöf, Jonas
    et al.
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin.
    Lundmark, Per
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin.
    Lundmark, Anders
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin.
    Liljedahl, Ulrika
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin.
    Enström, Camilla
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin.
    Pastinen, Tomi
    Deloukas, Panos
    Goodall, Alison H
    Ouwehand, Willem H
    Cambien, François
    Syvänen, Ann-Christine
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin.
    The power of allele-specific gene expression analysis for identification of cis-regulatory SNPsManuskript (preprint) (Annet vitenskapelig)
  • 40.
    Carlsson Almlöf, Jonas
    et al.
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Nystedt, Sara
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Mechtidou, Aikaterini
    Leonard, Dag
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Reumatologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Eloranta, Maija-Leena
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Reumatologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Grosso, Giorgia
    Sjöwall, Christopher
    Bengtsson, Anders A
    Jönsen, Andreas
    Gunnarsson, Iva
    Svenungsson, Elisabet
    Rönnblom, Lars
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Reumatologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Sandling, Johanna K.
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Reumatologi. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Syvänen, Ann-Christine
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Contributions of de novo variants to systemic lupus erythematosus2021Inngår i: European Journal of Human Genetics, ISSN 1018-4813, E-ISSN 1476-5438, Vol. 29, nr 1, s. 184-193Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    By performing whole-genome sequencing in a Swedish cohort of 71 parent-offspring trios, in which the child in each family is affected by systemic lupus erythematosus (SLE, OMIM 152700), we investigated the contribution of de novo variants to risk of SLE. We found de novo single nucleotide variants (SNVs) to be significantly enriched in gene promoters in SLE patients compared with healthy controls at a level corresponding to 26 de novo promoter SNVs more in each patient than expected. We identified 12 de novo SNVs in promoter regions of genes that have been previously implicated in SLE, or that have functions that could be of relevance to SLE. Furthermore, we detected three missense de novo SNVs, five de novo insertion-deletions, and three de novo structural variants with potential to affect the expression of genes that are relevant for SLE. Based on enrichment analysis, disease-affecting de novo SNVs are expected to occur in one-third of SLE patients. This study shows that de novo variants in promoters commonly contribute to the genetic risk of SLE. The fact that de novo SNVs in SLE were enriched to promoter regions highlights the importance of using whole-genome sequencing for identification of de novo variants.

    Fulltekst (pdf)
    fulltext
  • 41. Carén, Helena
    et al.
    Djos, Anna
    Nethander, Maria
    Sjöberg, Rose-Marie
    Kogner, Per
    Enström, Camilla
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin.
    Nilsson, Staffan
    Martinsson, Tommy
    Identification of epigenetically regulated genes that predict patient outcome in neuroblastoma2011Inngår i: BMC Cancer, ISSN 1471-2407, E-ISSN 1471-2407, Vol. 11, s. 66-Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Background: Epigenetic mechanisms such as DNA methylation and histone modifications are important regulators of gene expression and are frequently involved in silencing tumor suppressor genes. Methods: In order to identify genes that are epigenetically regulated in neuroblastoma tumors, we treated four neuroblastoma cell lines with the demethylating agent 5-Aza-2'-deoxycytidine (5-Aza-dC) either separately or in conjunction with the histone deacetylase inhibitor trichostatin A (TSA). Expression was analyzed using whole-genome expression arrays to identify genes activated by the treatment. These data were then combined with data from genome-wide DNA methylation arrays to identify candidate genes silenced in neuroblastoma due to DNA methylation. Results: We present eight genes (KRT19, PRKCDBP, SCNN1A, POU2F2, TGFBI, COL1A2, DHRS3 and DUSP23) that are methylated in neuroblastoma, most of them not previously reported as such, some of which also distinguish between biological subsets of neuroblastoma tumors. Differential methylation was observed for the genes SCNN1A (p < 0.001), PRKCDBP (p < 0.001) and KRT19 (p < 0.01). Among these, the mRNA expression of KRT19 and PRKCDBP was significantly lower in patients that have died from the disease compared with patients with no evidence of disease (fold change -8.3, p = 0.01 for KRT19 and fold change -2.4, p = 0.04 for PRKCDBP). Conclusions: In our study, a low methylation frequency of SCNN1A, PRKCDBP and KRT19 is significantly associated with favorable outcome in neuroblastoma. It is likely that analysis of specific DNA methylation will be one of several methods in future patient therapy stratification protocols for treatment of childhood neuroblastomas.

  • 42.
    Chen, D.
    et al.
    Univ Gothenburg, Dept Rheumatol & Inflammat Res, Gothenburg, Sweden..
    Gerasimcik, N.
    Univ Gothenburg, Dept Rheumatol & Inflammat Res, Gothenburg, Sweden..
    Camponeschi, A.
    Univ Gothenburg, Dept Rheumatol & Inflammat Res, Gothenburg, Sweden..
    Tan, Y.
    Guizhou Med Univ, Affiliated Hosp, Cent Lab, Guiyang, Peoples R China..
    Wu, Q.
    Guizhou Med Univ, Affiliated Hosp, Cent Lab, Guiyang, Peoples R China..
    Brynjolfsson, S.
    Univ Gothenburg, Dept Microbiol & Immunol, Gothenburg, Sweden..
    Zheng, J.
    Univ Gothenburg, Dept Rheumatol & Inflammat Res, Gothenburg, Sweden..
    Abrahamsson, J.
    Univ Gothenburg, Dept Pediat, Gothenburg, Sweden..
    Nordlund, Jessica
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Lönnerholm, Gudmar
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för kvinnors och barns hälsa, Barnneurologi/Barnonkologi.
    Fogelstrand, L.
    Sahlgrens Univ Hosp, Dept Clin Chem, Gothenburg, Sweden.;Univ Gothenburg, Dept Clin Chem & Transfus Med, Gothenburg, Sweden..
    Mårtensson, I-L
    Univ Gothenburg, Dept Rheumatol & Inflammat Res, Gothenburg, Sweden..
    CD27 expression and its association with clinical outcome in children and adults with pro-B acute lymphoblastic leukemia2017Inngår i: Blood Cancer Journal, E-ISSN 2044-5385, Vol. 7, artikkel-id e575Artikkel i tidsskrift (Annet vitenskapelig)
    Fulltekst (pdf)
    fulltext
  • 43.
    Chen, Dongfeng
    et al.
    Jiangsu Univ, Inst Life Sci, Zhenjiang, Jiangsu, Peoples R China.;Univ Gothenburg, Sahlgrenska Acad, Inst Med, Dept Rheumatol & Inflammat Res, Gothenburg, Sweden..
    Camponeschi, Alessandro
    Univ Gothenburg, Sahlgrenska Acad, Inst Med, Dept Rheumatol & Inflammat Res, Gothenburg, Sweden..
    Nordlund, Jessica
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Marincevic-Zuniga, Yanara
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Abrahamsson, Jonas
    Sahlgrens Univ Hosp, Inst Clin Sci, Dept Pediat, Gothenburg, Sweden..
    Lönnerholm, Gudmar
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för kvinnors och barns hälsa.
    Fogelstrand, Linda
    Sahlgrens Univ Hosp, Dept Clin Chem, Gothenburg, Sweden.;Univ Gothenburg, Dept Clin Chem & Transfus Med, Gothenburg, Sweden..
    Mårtensson, Inga-Lill
    Univ Gothenburg, Sahlgrenska Acad, Inst Med, Dept Rheumatol & Inflammat Res, Gothenburg, Sweden..
    RAG1 co-expression signature identifies ETV6-RUNX1-like B-cell precursor acute lymphoblastic leukemia in children2021Inngår i: Cancer Medicine, E-ISSN 2045-7634, Vol. 10, nr 12, s. 3997-4003Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    B-cell precursor acute lymphoblastic leukemia (BCP-ALL) can be classified into subtypes according to the genetic aberrations they display. For instance, the translocation t(12;21)(p13;q22), representing the ETV6-RUNX1 fusion gene (ER), is present in a quarter of BCP-ALL cases. However, around 10% of the cases lack classifying chromosomal abnormalities (B-other). In pediatric ER BCP-ALL, rearrangement mediated by RAG (recombination-activating genes) has been proposed as the predominant driver of oncogenic rearrangement. Herein we analyzed almost 1600 pediatric BCP-ALL samples to determine which subtypes express RAG. We demonstrate that RAG1 mRNA levels are especially high in the ETV6-RUNX1 (ER) subtype and in a subset of B-other samples. We also define 31 genes that are co-expressed with RAG1 (RAG1-signature) in the ER subtype, a signature that also identifies this subset of B-other samples. Moreover, this subset also shares leukemia and pro-B gene expression signatures as well as high levels of the ETV6 target genes (BIRC7, WBP1L, CLIC5, ANGPTL2) with the ER subtype, indicating that these B-other cases are the recently identified ER-like subtype. We validated our results in a cohort where ER-like has been defined, which confirmed expression of the RAG1-signature in this recently described subtype. Taken together, our results demonstrate that the RAG1-signature identifies the ER-like subtype. As there are no definitive genetic markers to identify this novel subtype, the RAG1-signature represents a means to screen for this leukemia in children.

    Fulltekst (pdf)
    fulltext
  • 44.
    Chen, Dongfeng
    et al.
    Univ Gothenburg, Dept Rheumatol & Inflammat Res, Box 480, SE-40530 Gothenburg, Sweden;Jiangsu Univ, Inst Life Sci, Zhenjiang, Peoples R China.
    Camponeschi, Alessandro
    Univ Gothenburg, Dept Rheumatol & Inflammat Res, Box 480, SE-40530 Gothenburg, Sweden.
    Wu, Qingqing
    Guizhou Med Univ, Affiliated Hosp, Cent Lab, Guiyang, Guizhou, Peoples R China.
    Gerasimcik, Natalija
    Univ Gothenburg, Dept Rheumatol & Inflammat Res, Box 480, SE-40530 Gothenburg, Sweden.
    Li, Huiqi
    Univ Gothenburg, Dept Occupat & Environm Med, Gothenburg, Sweden.
    Shen, Xue
    Guizhou Med Univ, Affiliated Hosp, Cent Lab, Guiyang, Guizhou, Peoples R China.
    Tan, Yujie
    Guizhou Med Univ, Affiliated Hosp, Cent Lab, Guiyang, Guizhou, Peoples R China.
    Sjögren, Helene
    Sahlgrens Univ Hosp, Dept Clin Chem, Gothenburg, Sweden.
    Nordlund, Jessica
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Lönnerholm, Gudmar
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för kvinnors och barns hälsa.
    Abrahamsson, Jonas
    Sahlgrens Univ Hosp, Inst Clin Sci, Dept Paediat, Gothenburg, Sweden.
    Fogelstrand, Linda
    Sahlgrens Univ Hosp, Dept Clin Chem, Gothenburg, Sweden;Univ Gothenburg, Dept Clin Chem & Transfus Med, Gothenburg, Sweden.
    Mårtensson, Inga-Lill
    Univ Gothenburg, Dept Rheumatol & Inflammat Res, Box 480, SE-40530 Gothenburg, Sweden.
    CD99 expression is strongly associated with clinical outcome in children with B-cell precursor acute lymphoblastic leukaemia2019Inngår i: British Journal of Haematology, ISSN 0007-1048, E-ISSN 1365-2141, Vol. 184, nr 3, s. 418-423Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Our study aimed to determine the expression pattern and clinical relevance of CD99 in paediatric B-cell precursor acute lymphoblastic leukaemia (BCP-ALL). Our findings demonstrate that high expression levels of CD99 are mainly found in high-risk BCP-ALL, e.g. BCR-ABL1 and CRLF2(,)(Re/Hi) and that high CD99 mRNA levels are strongly associated with a high frequency of relapse, high proportion of positive for minimal residual disease at day 29 and poor overall survival in paediatric cohorts, which indicate that CD99 is a potential biomarker for BCP-ALL.

  • 45. Chen, Doris
    et al.
    Ahlford, Annika
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin.
    Schnorrer, Frank
    Kalchhauser, Irene
    Fellner, Michaela
    Viràgh, Erika
    Kiss, Istvàn
    Syvänen, Ann-Christine
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin.
    Dickson, Barry J
    High-resolution, high-throughput SNP mapping in Drosophila melanogaster2008Inngår i: Nature Methods, ISSN 1548-7091, E-ISSN 1548-7105, Vol. 5, nr 4, s. 323-329Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Single nucleotide polymorphisms (SNPs) are useful markers for genetic mapping experiments in model organisms. Here we report the establishment of a high-density SNP map and high-throughput genotyping assays for Drosophila melanogaster. Our map comprises 27,367 SNPs in common laboratory Drosophila stocks. These SNPs were clustered within 2,238 amplifiable markers at an average density of 1 marker every 50.3 kb, or 6.3 genes. We have also constructed a set of 62 Drosophila stocks, each of which facilitates the generation of recombinants within a defined genetic interval of 1-2 Mb. For flexible, high-throughput SNP genotyping, we used fluorescent tag-array mini-sequencing (TAMS) assays. We designed and validated TAMS assays for 293 SNPs at an average resolution of 391.3 kb, and demonstrated the utility of these tools by rapidly mapping 14 mutations that disrupt embryonic muscle patterning. These resources enable high-resolution high-throughput genetic mapping in Drosophila.

  • 46. Chernogubova, Ekaterina
    et al.
    Strawbridge, Rona
    Mahdessian, Hovsep
    Malarstig, Anders
    Krapivner, Sergey
    Gigante, Bruna
    Hellenius, Mai-Lis
    de Faire, Ulf
    Franco-Cereceda, Anders
    Syvänen, Ann-Christine
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin.
    Troutt, Jason S.
    Konrad, Robert J.
    Eriksson, Per
    Hamsten, Anders
    van 't Hooft, Ferdinand M.
    Common and Low-Frequency Genetic Variants in the PCSK9 Locus Influence Circulating PCSK9 Levels2012Inngår i: Arteriosclerosis, Thrombosis and Vascular Biology, ISSN 1079-5642, E-ISSN 1524-4636, Vol. 32, nr 6, s. 1526-1534Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Objective- Proprotein convertase subtilisin/kexin type 9 (PCSK9) is a circulating protein that influences plasma low-density lipoprotein concentration and susceptibility to coronary heart disease. Circulating PCSK9 levels show considerable interindividual differences, but the factors responsible for this variation are largely unknown.

    Methods and Results- We analyzed circulating PCSK9 levels in 4 cohorts of healthy, middle-aged Swedes (n=5722) and found that PCSK9 levels varied over approximate to 50-fold range, showed a positive relationship with plasma low-density lipoprotein-cholesterol concentration, and were associated with plasma triglyceride, fibrinogen, insulin, and glucose concentrations. A genome-wide association study conducted in 2 cohorts (n=1215) failed to uncover common genetic variants robustly associated with variation in circulating PCSK9 level. As expected, the minor allele of the PCSK9 R46L variant was in all cohorts associated with reduced PCSK9 levels and decreased plasma low-density lipoprotein-cholesterol concentrations, but no relationship was observed with the plasma triglyceride concentration. Further mapping of the PCSK9 locus revealed a common polymorphism (rs2479415, minor allele frequency 43.9%), located approximate to 6 kb upstream from PCSK9, which is independently associated with increased circulating PCSK9 levels.

    Conclusion- Common and low-frequency genetic variants in the PCSK9 locus influence the pronounced interindividual variation in circulating PCSK9 levels in healthy, middle-aged white (predominantly Swedish) subjects.

  • 47. Christensen, Lise Lotte
    et al.
    Madsen, Bo E.
    Wikman, Friedrik P.
    Wiuf, Carsten
    Koed, Karen
    Tjønneland, Anne
    Olsen, Anja
    Syvänen, Ann-Christine
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin.
    Andersen, Claus L.
    Örntoft, Torben F.
    The association between genetic variants in hMLH1 and hMSH2 and the development of sporadic colorectal cancer in the Danish population2008Inngår i: BMC Medical Genetics, E-ISSN 1471-2350, Vol. 9, s. 52-Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    BACKGROUND:

    Mutations in the mismatch repair genes hMLH1 and hMSH2 predispose to hereditary non-polyposis colorectal cancer (HNPCC). Genetic screening of more than 350 Danish patients with colorectal cancer (CRC) has led to the identification of several new genetic variants (e.g. missense, silent and non-coding) in hMLH1 and hMSH2. The aim of the present study was to investigate the frequency of these variants in hMLH1 and hMSH2 in Danish patients with sporadic colorectal cancer and in the healthy background population. The purpose was to reveal if any of the common variants lead to increased susceptibility to colorectal cancer.

    METHODS:

    Associations between genetic variants in hMLH1 and hMSH2 and sporadic colorectal cancer were evaluated using a case-cohort design. The genotyping was performed on DNA isolated from blood from the 380 cases with sporadic colorectal cancer and a sub-cohort of 770 individuals. The DNA samples were analyzed using Single Base Extension (SBE) Tag-arrays. A Bonferroni corrected Fisher exact test was used to test for association between the genotypes of each variant and colorectal cancer. Linkage disequilibrium (LD) was investigated using HaploView (v3.31).

    RESULTS:

    Heterozygous and homozygous changes were detected in 13 of 35 analyzed variants. Two variants showed a borderline association with colorectal cancer, whereas the remaining variants demonstrated no association. Furthermore, the genomic regions covering hMLH1 and hMSH2 displayed high linkage disequilibrium in the Danish population. Twenty-two variants were neither detected in the cases with sporadic colorectal cancer nor in the sub-cohort. Some of these rare variants have been classified either as pathogenic mutations or as neutral variants in other populations and some are unclassified Danish variants.

    CONCLUSION:

    None of the variants in hMLH1 and hMSH2 analyzed in the present study were highly associated with colorectal cancer in the Danish population. High linkage disequilibrium in the genomic regions covering hMLH1 and hMSH2, indicate that common genetic variants in the two genes in general are not involved in the development of sporadic colorectal cancer. Nevertheless, some of the rare unclassified variants in hMLH1 and hMSH2 might be involved in the development of colorectal cancer in the families where they were originally identified.

  • 48.
    Dahlberg, Johan
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin.
    Genetic Cartography at Massively Parallel Scale2018Doktoravhandling, med artikler (Annet vitenskapelig)
    Abstract [en]

    Massively parallel sequencing (MPS) is revolutionizing genomics. In this work we use, refine, and develop new tools for the discipline.

    MPS has led to the discovery of multiple novel subtypes in Acute Lymphoblastic Leukemia (ALL). In Study I we screen for fusion genes in 134 pediatric ALL patients, including patients without an assigned subtype. In approximately 80% of these patients we detect novel or known fusion gene families, most of which display distinct methylation and expression patterns. This shows the potential for improvements in the clinical stratification of ALL. Large sample sizes are important to detect recurrent somatic variation. In Study II we investigate if a non-index overlapping pooling schema can be used to increase sample size and detect somatic variation. We designed a schema for 172 ALL samples and show that it is possible to use this method to call somatic variants.

    Around the globe there are many ongoing and completed genome projects. In Study III we sequenced the genome of 1000 Swedes to create a reference data set for the Swedish population. We identified more than 10 million variants that were not present in publicly available databases, highlighting the need for population-specific resources. Data, and the tools developed during this study, have been made publicly available as a resource for genomics in Sweden and abroad.

    The increased amount of sequencing data has created a greater need for automation. In Study IV we present Arteria, a computational automation system for sequencing core facilities. This system has been adopted by multiple facilities and has been used to analyze thousands of samples. In Study V we developed CheckQC, a program that provides automated quality control of Illumina sequencing runs. These tools make scaling up MPS less labour intensive, a key to unlocking the full future potential of genomics.

    The tools, and data presented here are a valuable contribution to the scientific community. Collectively they showcase the power of MPS and genomics to bring about new knowledge of human health and disease.

    Delarbeid
    1. Transcriptome sequencing in pediatric acute lymphoblastic leukemia identifies fusion genes associated with distinct DNA methylation profiles
    Åpne denne publikasjonen i ny fane eller vindu >>Transcriptome sequencing in pediatric acute lymphoblastic leukemia identifies fusion genes associated with distinct DNA methylation profiles
    Vise andre…
    2017 (engelsk)Inngår i: Journal of Hematology & Oncology, E-ISSN 1756-8722, Vol. 10, artikkel-id 148Artikkel i tidsskrift (Fagfellevurdert) Published
    Abstract [en]

    Background: Structural chromosomal rearrangements that lead to expressed fusion genes are a hallmark of acute lymphoblastic leukemia (ALL). In this study, we performed transcriptome sequencing of 134 primary ALL patient samples to comprehensively detect fusion transcripts. Methods: We combined fusion gene detection with genome-wide DNA methylation analysis, gene expression profiling, and targeted sequencing to determine molecular signatures of emerging ALL subtypes. Results: We identified 64 unique fusion events distributed among 80 individual patients, of which over 50% have not previously been reported in ALL. Although the majority of the fusion genes were found only in a single patient, we identified several recurrent fusion gene families defined by promiscuous fusion gene partners, such as ETV6, RUNX1, PAX5, and ZNF384, or recurrent fusion genes, such as DUX4-IGH. Our data show that patients harboring these fusion genes displayed characteristic genome-wide DNA methylation and gene expression signatures in addition to distinct patterns in single nucleotide variants and recurrent copy number alterations. Conclusion: Our study delineates the fusion gene landscape in pediatric ALL, including both known and novel fusion genes, and highlights fusion gene families with shared molecular etiologies, which may provide additional information for prognosis and therapeutic options in the future.

    Emneord
    Pediatric acute lymphoblastic leukemia, RNA sequencing, Fusion genes, BCP-ALL, T-ALL, Translocation
    HSV kategori
    Identifikatorer
    urn:nbn:se:uu:diva-332658 (URN)10.1186/s13045-017-0515-y (DOI)000408001300001 ()28806978 (PubMedID)
    Forskningsfinansiär
    Swedish Foundation for Strategic Research, RBc08-008Swedish Cancer Society, 130440, 160711Swedish Childhood Cancer Foundation, 11098Swedish Research Council, C0524801, 2016-03691_3
    Merknad

    De 2 sista författarna delar sistaförfattarskapet.

    Tilgjengelig fra: 2017-10-31 Laget: 2017-10-31 Sist oppdatert: 2023-10-02bibliografisk kontrollert
    2. Identification of somatic variants by targeted sequencing of pooled cancer samples
    Åpne denne publikasjonen i ny fane eller vindu >>Identification of somatic variants by targeted sequencing of pooled cancer samples
    Vise andre…
    (engelsk)Manuskript (preprint) (Annet vitenskapelig)
    HSV kategori
    Forskningsprogram
    Medicinsk genetik
    Identifikatorer
    urn:nbn:se:uu:diva-269752 (URN)
    Tilgjengelig fra: 2015-12-18 Laget: 2015-12-18 Sist oppdatert: 2018-08-27
    3. SweGen: a whole-genome data resource of genetic variability in a cross-section of the Swedish population
    Åpne denne publikasjonen i ny fane eller vindu >>SweGen: a whole-genome data resource of genetic variability in a cross-section of the Swedish population
    Vise andre…
    2017 (engelsk)Inngår i: European Journal of Human Genetics, ISSN 1018-4813, E-ISSN 1476-5438, Vol. 25, nr 11, s. 1253-1260Artikkel i tidsskrift (Fagfellevurdert) Published
    Abstract [en]

    Here we describe the SweGen data set, a comprehensive map of genetic variation in the Swedish population. These data represent a basic resource for clinical genetics laboratories as well as for sequencing-based association studies by providing information on genetic variant frequencies in a cohort that is well matched to national patient cohorts. To select samples for this study, we first examined the genetic structure of the Swedish population using high-density SNP-array data from a nation-wide cohort of over 10 000 Swedish-born individuals included in the Swedish Twin Registry. A total of 1000 individuals, reflecting a cross-section of the population and capturing the main genetic structure, were selected for whole-genome sequencing. Analysis pipelines were developed for automated alignment, variant calling and quality control of the sequencing data. This resulted in a genome-wide collection of aggregated variant frequencies in the Swedish population that we have made available to the scientific community through the website https://swefreq.nbis.se. A total of 29.2 million single-nucleotide variants and 3.8 million indels were detected in the 1000 samples, with 9.9 million of these variants not present in current databases. Each sample contributed with an average of 7199 individual-specific variants. In addition, an average of 8645 larger structural variants (SVs) were detected per individual, and we demonstrate that the population frequencies of these SVs can be used for efficient filtering analyses. Finally, our results show that the genetic diversity within Sweden is substantial compared with the diversity among continental European populations, underscoring the relevance of establishing a local reference data set.

    sted, utgiver, år, opplag, sider
    NATURE PUBLISHING GROUP, 2017
    HSV kategori
    Identifikatorer
    urn:nbn:se:uu:diva-337314 (URN)10.1038/ejhg.2017.130 (DOI)000412823800012 ()28832569 (PubMedID)
    Forskningsfinansiär
    Science for Life Laboratory - a national resource center for high-throughput molecular bioscienceKnut and Alice Wallenberg Foundation, 2014.0272Swedish Research CouncilSwedish National Infrastructure for Computing (SNIC), sens2016003EU, European Research Council, 282330
    Tilgjengelig fra: 2018-01-08 Laget: 2018-01-08 Sist oppdatert: 2022-01-29bibliografisk kontrollert
    4. Arteria: An automation system for a sequencing core facility
    Åpne denne publikasjonen i ny fane eller vindu >>Arteria: An automation system for a sequencing core facility
    Vise andre…
    2019 (engelsk)Inngår i: GigaScience, E-ISSN 2047-217X, Vol. 8, nr 12, artikkel-id giz135Artikkel i tidsskrift (Fagfellevurdert) Published
    Abstract [en]

    Background: In recent years, nucleotide sequencing has become increasingly instrumental in both research and clinical settings. This has led to an explosive growth in sequencing data produced worldwide. As the amount of data increases, so does the need for automated solutions for data processing and analysis. The concept of workflows has gained favour in the bioinformatics community, but there is little in the scientific literature describing end-to-end automation systems. Arteria is an automation system that aims at providing a solution to the data-related operational challenges that face sequencing core facilities.

    Findings: Arteria is built on existing open source technologies, with a modular design allowing for a community-driven effort to create plug-and-play micro-services. In this article we describe the system, elaborate on the underlying conceptual framework, and present an example implementation. Arteria can be reduced to 3 conceptual levels: orchestration (using an event-based model of automation), process (the steps involved in processing sequencing data, modelled as workflows), and execution (using a series of RESTful micro-services). This creates a system that is both flexible and scalable. Arteria-based systems have been successfully deployed at 3 sequencing core facilities. The Arteria Project code, written largely in Python, is available as open source software, and more information can be found at https://arteria-project.github.io/.

    Conclusions: We describe the Arteria system and the underlying conceptual framework, demonstrating how this model can be used to automate data handling and analysis in the context of a sequencing core facility.

    HSV kategori
    Identifikatorer
    urn:nbn:se:uu:diva-357972 (URN)10.1093/gigascience/giz135 (DOI)000506804600004 ()31825479 (PubMedID)
    Forskningsfinansiär
    Swedish Research CouncilKnut and Alice Wallenberg Foundation
    Tilgjengelig fra: 2018-08-23 Laget: 2018-08-23 Sist oppdatert: 2023-02-06bibliografisk kontrollert
    5. CheckQC: Quick quality control of Illumina sequencing runs
    Åpne denne publikasjonen i ny fane eller vindu >>CheckQC: Quick quality control of Illumina sequencing runs
    2018 (engelsk)Inngår i: Journal of Open Source Software, E-ISSN 2475-9066, Vol. 3, nr 22, artikkel-id 556Artikkel i tidsskrift (Fagfellevurdert) Published
    Emneord
    bioinformatics, sequencing
    HSV kategori
    Forskningsprogram
    Bioinformatik
    Identifikatorer
    urn:nbn:se:uu:diva-349255 (URN)10.21105/joss.00556 (DOI)
    Tilgjengelig fra: 2018-04-24 Laget: 2018-04-24 Sist oppdatert: 2022-09-15bibliografisk kontrollert
    Fulltekst (pdf)
    fulltext
    Download (jpg)
    presentationsbild
  • 49.
    Dahlberg, Johan
    et al.
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Hermansson, Johan
    Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin.
    Sturlaugsson, Steinar
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Lysenkova, Mariya
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Smeds, Patrik
    Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi.
    Ladenvall, Claes
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Valls Guimera, Roman
    University of Melbourne Center for Cancer Research, University of Melbourne, Melbourne, Australia.
    Reisinger, Florian
    University of Melbourne Center for Cancer Research, University of Melbourne, Melbourne, Australia.
    Hofmann, Oliver
    University of Melbourne Center for Cancer Research, University of Melbourne, Melbourne, Australia.
    Larsson, Pontus
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Arteria: An automation system for a sequencing core facility2019Inngår i: GigaScience, E-ISSN 2047-217X, Vol. 8, nr 12, artikkel-id giz135Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Background: In recent years, nucleotide sequencing has become increasingly instrumental in both research and clinical settings. This has led to an explosive growth in sequencing data produced worldwide. As the amount of data increases, so does the need for automated solutions for data processing and analysis. The concept of workflows has gained favour in the bioinformatics community, but there is little in the scientific literature describing end-to-end automation systems. Arteria is an automation system that aims at providing a solution to the data-related operational challenges that face sequencing core facilities.

    Findings: Arteria is built on existing open source technologies, with a modular design allowing for a community-driven effort to create plug-and-play micro-services. In this article we describe the system, elaborate on the underlying conceptual framework, and present an example implementation. Arteria can be reduced to 3 conceptual levels: orchestration (using an event-based model of automation), process (the steps involved in processing sequencing data, modelled as workflows), and execution (using a series of RESTful micro-services). This creates a system that is both flexible and scalable. Arteria-based systems have been successfully deployed at 3 sequencing core facilities. The Arteria Project code, written largely in Python, is available as open source software, and more information can be found at https://arteria-project.github.io/.

    Conclusions: We describe the Arteria system and the underlying conceptual framework, demonstrating how this model can be used to automate data handling and analysis in the context of a sequencing core facility.

    Fulltekst (pdf)
    fulltext
  • 50.
    Dahlgren, Andreas
    et al.
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin.
    Lundmark, Per
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin.
    Axelsson, Tomas
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin.
    Lind, Lars
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper.
    Syvänen, Ann-Christine
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär medicin.
    Association of the estrogen receptor 1 (ESR1) gene with body height in adult males from two Swedish population cohorts2008Inngår i: PLOS ONE, E-ISSN 1932-6203, Vol. 3, nr 3, s. e1807-Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Human body height is a complex genetic trait with high heritability. We performed an association study of 17 candidate genes for height in the Uppsala Longitudinal Study of Adult Men (ULSAM) that consists of 1153 elderly men of age 70 born in the central region of Sweden. First we genotyped a panel of 137 single nucleotide polymorphism (SNPs) evenly distributed across the candidate genes in the ULSAM cohort. We identified 4 SNPs in the estrogen receptor gene (ESR1) on chromosome 6q25.1 with suggestive signals of association (p<0.05) with standing body height. This result was followed up by genotyping the same 25 SNPs in the ESR1 gene as in ULSAM in a second population cohort, the Prospective Investigation of the Vasculature in Uppsala Seniors (PIVUS) cohort that consist of 507 males and 509 females of age 70 from the same geographical region as ULSAM. One SNP, rs2179922 located in intron 4 of ESR1 showed and association signal (p = 0.0056) in the male samples from the PIVUS cohort. Homozygote carriers of the G-allele of the SNP rs2179922 were on average 0.90 cm taller than individuals with the two other genotypes at this SNP in the ULSAM cohort and 2.3 cm taller in the PIVUS cohort. No association was observed for the females in the PIVUS cohort.

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