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  • 1.
    Acosta Ruiz, Vanessa
    et al.
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Radiology.
    Båtelsson, Sarah
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Radiology.
    Onkamo, Elina
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Radiology.
    Wernroth, Lisa
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology.
    Nilsson, Thomas
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Renal Medicine.
    Lönnemark, Maria
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Radiology.
    Dahlman, Pär
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Radiology.
    Magnusson, Anders
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Radiology.
    Split Renal Function after Treatment of Small Renal Masses: Comparison between Radiofrequency Ablation and Laparoscopic Partial NephrectomyManuscript (preprint) (Other academic)
  • 2.
    Acosta Ruiz, Vanessa
    et al.
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Radiology.
    Ladjevardi, Sam
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Urology.
    Brekkan, Einar
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Urology.
    Häggman, Michael
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Urology.
    Lönnemark, Maria
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Radiology.
    Wernroth, Lisa
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology.
    Magnusson, Anders
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Radiology.
    Periprocedural outcome after laparoscopic partial nephrectomy versus radiofrequency ablation for T1 renal tumors:: A modified R.E.N.A.L nephrometry score adjusted comparison.2018In: Acta Radiologica, ISSN 0284-1851, E-ISSN 1600-0455, Vol. 60, no 2, p. 260-268Article in journal (Refereed)
    Abstract [en]

    Background: Comparable oncological outcomes have been seen after surgical nephrectomy and thermal ablation of renal tumors recently. However, periprocedural outcome needs to be assessed for aiding treatment decision.

    Purpose: To compare efficacy rates and periprocedural outcome (technical success, session time, hospitalization time, and complications) after renal tumor treatment with laparoscopic partial nephrectomy (LPN) or radiofrequency ablation (RFA).

    Material and Methods: The initial experience with 49 (treated with LPN) and 84 (treated with RFA) consecutive patients for a single renal tumor (diameter ≤ 5 cm, limited to the kidney) during 2007-2014 was evaluated. Patient and tumor characteristics, efficacy rates, and periprocedural outcome were collected retrospectively. The stratified Mantel Haenzel and Van Elteren tests, adjusted for tumor complexity (with the modified R.E.N.A.L nephrometry score [m-RNS]), were used to assess differences in treatment outcomes.

    Results: Primary efficacy rate was 98% for LPN and 85.7% for RFA; secondary efficacy rate was 93.9% for LPN and 95.2% for RFA; and technical success rate was 87.8% for LPN and 100% for RFA. Median session (m-RNS adjusted P < 0.001; LPN 215 min, RFA 137 min) and median hospitalization time were longer after LPN (m-RNS adjusted P < 0.001; LPN 5 days, RFA 2 days). Side effects were uncommon (LPN 2%, RFA 4.8%). Complications were more frequent after LPN (m-RNS adjusted P < 0.001; LPN 42.9%, RFA 10.7%).

    Conclusion: Both methods achieved equivalent secondary efficacy rates. RFA included several treatment sessions, but session and hospitalization times were shorter, and complications were less frequent than for LPN. The differences remained after adjustment for renal tumor complexity.

  • 3.
    Acosta Ruiz, Vanessa
    et al.
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Radiology.
    Lönnemark, Maria
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Radiology.
    Brekkan, Einar
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Urology.
    Dahlman, Pär
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Radiology.
    Wernroth, Lisa
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm, UCR-Uppsala Clinical Research Center. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology.
    Magnusson, Anders
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Radiology.
    Predictive factors for complete renal tumor ablation using RFA2016In: Acta Radiologica, ISSN 0284-1851, E-ISSN 1600-0455, Vol. 57, no 7, p. 886-893Article in journal (Refereed)
    Abstract [en]

    BACKGROUND: Radiofrequency ablation (RFA) can be used to treat renal masses in patients where surgery is preferably avoided. As tumor size and location can affect ablation results, procedural planning needs to identify these factors to limit treatment to a single session and increase ablation success.

    PURPOSE: To identify factors that may affect the primary efficacy of complete renal tumor ablation with radiofrequency after a single session.

    MATERIAL AND METHODS: Percutaneous RFA (using an impedance based system) was performed using computed tomography (CT) guidance. Fifty-two renal tumors (in 44 patients) were retrospectively studied (median follow-up, 7 months). Data collection included patient demographics, tumor data (modified Renal Nephrometry Score, histopathological diagnosis), RFA treatment data (electrode placement), and follow-up results (tumor relapse). Data were analyzed through generalized estimating equations.

    RESULTS: Primary efficacy rate was 83%. Predictors for complete ablation were optimal electrode placement (P = 0.002, OR = 16.67) and increasing distance to the collecting system (P = 0.02, OR = 1.18). Tumor size was not a predictor for complete ablation (median size, 24 mm; P = 0.069, OR = 0.47), but all tumors ≤2 cm were completely ablated. All papillary tumors and oncocytomas were completely ablated in a single session; the most common incompletely ablated tumor type was clear cell carcinoma (6 of 9).

    CONCLUSION: Optimal electrode placement and a long distance from the collecting system are associated with an increased primary efficacy of renal tumor RFA. These variables need to be considered to increase primary ablation success. Further studies are needed to evaluate the effect of RFA on histopathologically different renal tumors.

  • 4.
    Agarwal, Divyansh
    et al.
    Univ Penn, Dept Genom & Computat Biol, Perelman Sch Med, Philadelphia, PA 19104 USA.;Univ Penn, Wharton Sch, Dept Stat, Philadelphia, PA 19104 USA..
    Nowak, Christoph
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology. Karolinska Inst, Dept Neurobiol Care Sci & Soc, Huddinge, Sweden..
    Zhang, Nancy R.
    Univ Penn, Dept Genom & Computat Biol, Perelman Sch Med, Philadelphia, PA 19104 USA.;Univ Penn, Wharton Sch, Dept Stat, Philadelphia, PA 19104 USA..
    Pusztai, Lajos
    Yale Univ, Yale Sch Med, Breast Med Oncol, Dept Med, New Haven, CT 06520 USA..
    Hatzis, Christos
    Yale Univ, Yale Sch Med, Breast Med Oncol, Dept Med, New Haven, CT 06520 USA..
    Functional germline variants as potential co-oncogenes2017In: NPJ BREAST CANCER, ISSN 2374-4677, Vol. 3, article id 46Article in journal (Refereed)
    Abstract [en]

    Germline variants that affect the expression or function of proteins contribute to phenotypic variation in humans and likely determine individual characteristics and susceptibility to diseases including cancer. A number of high penetrance germline variants that increase cancer risk have been identified and studied, but germline functional polymorphisms are not typically considered in the context of cancer biology, where the focus is primarily on somatic mutations. Yet, there is evidence from familial cancers indicating that specific cancer subtypes tend to arise in carriers of high-risk germline variants (e.g., triple negative breast cancers in mutated BRCA carriers), which suggests that pre-existing germline variants may determine which complementary somatic driver mutations are needed to drive tumorigenesis. Recent genome sequencing studies of large breast cancer cohorts reported only a handful of highly recurrent driver mutations, suggesting that different oncogenic events drive individual cancers. Here, we propose that germline polymorphisms can function as oncogenic modifiers, or co-oncogenes, and these determine what complementary subsequent somatic events are required for full malignant transformation. Therefore, we propose that germline aberrations should be considered together with somatic mutations to determine what genes drive cancer and how they may be targeted.

  • 5.
    Ahlgren, Kerstin M
    et al.
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Autoimmunity. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Fall, Tove
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Landegren, Nils
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Autoimmunity. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Grimelius, Lars
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Molecular and Morphological Pathology. Uppsala University, Science for Life Laboratory, SciLifeLab.
    von Euler, Henrik
    Sundberg, Katarina
    Lindblad-Toh, Kerstin
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Genomics. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Lobell, Anna
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Hedhammar, Åke
    Andersson, Göran
    Hansson-Hamlin, Helene
    Lernmark, Åke
    Kämpe, Olle
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Autoimmunity. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Lack of evidence for a role of islet autoimmunity in the aetiology of canine diabetes mellitus2014In: PLoS ONE, ISSN 1932-6203, E-ISSN 1932-6203, Vol. 9, no 8, p. e105473-Article in journal (Refereed)
    Abstract [en]

    AIMS/HYPOTHESIS:

    Diabetes mellitus is one of the most common endocrine disorders in dogs and is commonly proposed to be of autoimmune origin. Although the clinical presentation of human type 1 diabetes (T1D) and canine diabetes are similar, the aetiologies may differ. The aim of this study was to investigate if autoimmune aetiology resembling human T1D is as prevalent in dogs as previously reported.

    METHODS:

    Sera from 121 diabetic dogs representing 40 different breeds were tested for islet cell antibodies (ICA) and GAD65 autoantibodies (GADA) and compared with sera from 133 healthy dogs. ICA was detected by indirect immunofluorescence using both canine and human frozen sections. GADA was detected by in vitro transcription and translation (ITT) of human and canine GAD65, followed by immune precipitation. Sections of pancreata from five diabetic dogs and two control dogs were examined histopathologically including immunostaining for insulin, glucagon, somatostatin and pancreas polypeptide.

    RESULTS:

    None of the canine sera analysed tested positive for ICA on sections of frozen canine or human ICA pancreas. However, serum from one diabetic dog was weakly positive in the canine GADA assay and serum from one healthy dog was weakly positive in the human GADA assay. Histopathology showed marked degenerative changes in endocrine islets, including vacuolisation and variable loss of immune-staining for insulin. No sign of inflammation was noted.

    CONCLUSIONS/INTERPRETATIONS:

    Contrary to previous observations, based on results from tests for humoral autoreactivity towards islet proteins using four different assays, and histopathological examinations, we do not find any support for an islet autoimmune aetiology in canine diabetes mellitus.

  • 6.
    Ahmad, Shafqat
    et al.
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology. Harvard Med Sch, Div Prevent Med, Brigham & Womens Hosp, Boston, MA 02115 USA;Harvard TH Chan Sch Publ Hlth, Dept Nutr, Boston, MA 02115 USA.
    Ahluwalia, Tarunveer S.
    Steno Diabet Ctr Copenhagen, Gentofte, Denmark.
    Editorial: The Role of Genetic and Lifestyle Factors in Metabolic Diseases2019In: Frontiers in Endocrinology, ISSN 1664-2392, E-ISSN 1664-2392, Vol. 10, article id 475Article in journal (Other academic)
  • 7.
    Ahmad, Shafqat
    et al.
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology. Harvard Med Sch, Prevent Med Div, Brigham & Womens Hosp, Boston, MA 02115 USA;Harvard TH Chan Sch Publ Hlth, Dept Nutr, Boston, MA 02115 USA.
    Fatima, Syeda Sadia
    Aga Khan Univ, Dept Biol & Biomed Sci, Karachi, Pakistan.
    Rukh, Gull
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Neuroscience, Functional Pharmacology.
    Smith, Caren E.
    Tufts Univ, Res Ctr Aging, Jean Mayer US Dept Agr, Nutr & Genom Lab, Boston, MA 02111 USA.
    Gene Lifestyle Interactions With Relation to Obesity, Cardiometabolic, and Cardiovascular Traits Among South Asians2019In: Frontiers in Endocrinology, ISSN 1664-2392, E-ISSN 1664-2392, Vol. 10, article id 221Article, review/survey (Refereed)
    Abstract [en]

    The rapid rise of obesity, type 2 diabetes mellitus (T2DM) and cardiovascular disease (CVD) during the last few decades among South Asians has been largely attributed to a major shift in lifestyles including physical inactivity, unhealthy dietary patterns, and an overall pattern of sedentary lifestyle. Genetic predisposition to these cardiometabolic risk factors may have interacted with these obesogenic environments in determining the higher cardiometabolic disease prevalence. Based on the premise that gene-environment interactions cause obesity and cardiometabolic diseases, we systematically searched the literature and considered the knowledge gaps that future studies might ful fill. We identified only seven published studies that focused specifically on gene-environment interactions for cardiometabolic traits in South Asians, most of which were limited by relatively small sample and lack of replication. Some studies reported that the differences in metabolic response to higher physical activity and low caloric diet might be modified by genetic risk related to these cardiometabolic traits. Although studies on gene lifestyle interactions in cardiometabolic traits report significant interactions, future studies must focus on more precise assessment of lifestyle factors, investigation of a larger set of genetic variants and the application of powerful statistical methods to facilitate translatable approaches. Future studies should also be integrated with findings both using mechanistic studies through laboratory settings and randomized clinical trials for clinical outcomes.

  • 8.
    Ahmad, Shafqat
    et al.
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology. Harvard Med Sch, Brigham & Womens Hosp, Prevent Med Div, Boston, MA 02215 USA;Harvard Med Sch, Brigham & Womens Hosp, Ctr Lipid Metabol, 900 Commonwealth Ave, Boston, MA 02215 USA;Harvard TH Chan Sch Publ Hlth, Dept Nutr, Boston, MA USA;Harvard Med Sch, Brigham & Womens Hosp, Cardiovasc Div, Boston, MA 02215 USA.
    Moorthy, M. Vinayaga
    Harvard Med Sch, Brigham & Womens Hosp, Prevent Med Div, Boston, MA 02215 USA;Harvard Med Sch, Brigham & Womens Hosp, Ctr Lipid Metabol, 900 Commonwealth Ave, Boston, MA 02215 USA.
    Demler, Olga, V
    Harvard Med Sch, Brigham & Womens Hosp, Prevent Med Div, Boston, MA 02215 USA;Harvard Med Sch, Brigham & Womens Hosp, Cardiovasc Div, Boston, MA 02215 USA.
    Hu, Frank B.
    Harvard TH Chan Sch Publ Hlth, Dept Nutr, Boston, MA USA;Brigham & Womens Hosp, Dept Med, Channing Div Network Med, 75 Francis St, Boston, MA 02115 USA;Harvard Med Sch, Boston, MA 02215 USA.
    Ridker, Paul M.
    Harvard Med Sch, Brigham & Womens Hosp, Prevent Med Div, Boston, MA 02215 USA;Harvard Med Sch, Brigham & Womens Hosp, Cardiovasc Div, Boston, MA 02215 USA.
    Chasman, Daniel, I
    Harvard Med Sch, Brigham & Womens Hosp, Prevent Med Div, Boston, MA 02215 USA.
    Mora, Samia
    Harvard Med Sch, Brigham & Womens Hosp, Prevent Med Div, Boston, MA 02215 USA;Harvard Med Sch, Brigham & Womens Hosp, Ctr Lipid Metabol, 900 Commonwealth Ave, Boston, MA 02215 USA;Harvard Med Sch, Brigham & Womens Hosp, Cardiovasc Div, Boston, MA 02215 USA.
    Assessment of Risk Factors and Biomarkers Associated With Risk of Cardiovascular Disease Among Women Consuming a Mediterranean Diet2018In: JAMA NETWORK OPEN, ISSN 2574-3805, Vol. 1, no 8, article id e185708Article in journal (Refereed)
    Abstract [en]

    IMPORTANCE Higher Mediterranean diet (MED) intake has been associated with lower risk of cardiovascular disease (CVD), but limited data are available about the underlying molecular mechanisms of this inverse disease association in human populations.

    OBJECTIVE To better characterize the relative contribution of traditional and novel factors to the MED-related risk reduction in CVD events in a US population.

    DESIGN, SETTING, AND PARTICIPANTS Using a prospective cohort design, baseline MED intake was assessed in 25 994 initially healthy US women in theWomen's Health Study who were followed up to 12 years. Potential mediating effects of a panel of 40 biomarkers were evaluated, including lipids, lipoproteins, apolipoproteins, inflammation, glucose metabolism and insulin resistance, branched-chain amino acids, small-molecule metabolites, and clinical factors. Baseline study information and samples were collected between April 30, 1993, and January 24, 1996. Analyses were conducted between August 1, 2017, and October 30, 2018.

    EXPOSURES Intake of MED is a 9-category measure of adherence to a Mediterranean dietary pattern. Participants were categorized into 3 levels based on their adherence to the MED.

    MAIN OUTCOMES AND MEASURES Incident CVD confirmed through medical records and the proportion of CVD risk reduction explained by mediators.

    RESULTS Among 25 994women (mean [SD] age, 54.7 [7.1] years), those with low, middle, and upper MED intakes composed 39.0%, 36.2%, and 24.8% of the study population and experienced 428 (4.2%), 356 (3.8%), and 246 (3.8%) incident CVD events, respectively. Compared with the reference group who had low MED intake, CVD risk reductions were observed for the middle and upper groups, with respective HRs of 0.77 (95% CI, 0.67-0.90) and 0.72 (95% CI, 0.61-0.86) (P for trend < .001). The largest mediators of the CVD risk reduction of MED intake were biomarkers of inflammation (accounting for 29.2% of the MED-CVD association), glucose metabolism and insulin resistance (27.9%), and body mass index (27.3%), followed by blood pressure (26.6%), traditional lipids (26.0%), high-density lipoprotein measures (24.0%) or very low-density lipoprotein measures (20.8%), with lesser contributions from low-density lipoproteins (13.0%), branched-chain amino acids (13.6%), apolipoproteins (6.5%), or other small-molecule metabolites (5.8%).

    CONCLUSIONS AND RELEVANCE In this study, higher MED intake was associated with approximately one-fourth relative risk reduction in CVD events, which could be explained in part by known risk factors, both traditional and novel.

  • 9. Albrecht, Eva
    et al.
    Sillanpaa, Elina
    Karrasch, Stefan
    Alves, Alexessander Couto
    Codd, Veryan
    Hovatta, Iiris
    Buxton, Jessica L.
    Nelson, Christopher P.
    Broer, Linda
    Hägg, Sara
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Mangino, Massimo
    Willemsen, Gonneke
    Surakka, Ida
    Ferreira, Manuel A. R.
    Amin, Najaf
    Oostra, Ben A.
    Backmand, Hell M.
    Peltonen, Markku
    Sarna, Seppo
    Rantanen, Taina
    Sipila, Sarianna
    Korhonen, Tellervo
    Madden, Pamela A. F.
    Gieger, Christian
    Jorres, Rudolf A.
    Heinrich, Joachim
    Behr, Juergen
    Huber, Rudolf M.
    Peters, Annette
    Strauch, Konstantin
    Wichmann, H. Erich
    Waldenberger, Melanie
    Blakemore, Alexandra I. F.
    de Geus, Eco J. C.
    Nyholt, Dale R.
    Henders, Anjali K.
    Piirila, Paeivi L.
    Rissanen, Aila
    Magnusson, Patrik K. E.
    Vinuela, Ana
    Pietilainen, Kirsi H.
    Martin, Nicholas G.
    Pedersen, Nancy L.
    Boomsma, Dorret I.
    Spector, Tim D.
    van Duijn, Cornelia M.
    Kaprio, Jaakko
    Samani, Nilesh J.
    Jarvelin, Marjo-Riitta
    Schulz, Holger
    Telomere length in circulating leukocytes is associated with lung function and disease2014In: European Respiratory Journal, ISSN 0903-1936, E-ISSN 1399-3003, Vol. 43, no 4, p. 983-992Article in journal (Refereed)
    Abstract [en]

    Several clinical studies suggest the involvement of premature ageing processes in chronic obstructive pulmonary disease (COPD). Using an epidemiological approach, we studied whether accelerated ageing indicated by telomere length, a marker of biological age, is associated with COPD and asthma, and whether intrinsic age-related processes contribute to the interindividual variability of lung function. Our meta-analysis of 14 studies included 934 COPD cases with 15 846 controls defined according to the Global Lungs Initiative (GLI) criteria (or 1189 COPD cases according to the Global Initiative for Chronic Obstructive Lung Disease (GOLD) criteria), 2834 asthma cases with 28 195 controls, and spirometric parameters (forced expiratory volume in is (FEV1), forced vital capacity (PVC) and FEV1/FVC) of 12 595 individuals. Associations with telomere length were tested by linear regression, adjusting for age, sex and smoking status. We observed negative associations between telomere length and asthma (beta= -0.0452, p= 0.024) as well as COPD (beta= -0.0982, p=0.001), with associations being stronger and more significant when using GLI criteria than those of GOLD. In both diseases, effects were stronger in females than males. The investigation of spirometric indices showed positive associations between telomere length and FEV1 (p=1.07 x 10(-7)), FVC (p=2.07 x 10(-5)), and FEV1/FVC (p =5.27 x 10(-3)). The effect was somewhat weaker in apparently healthy subjects than in COPD or asthma patients. Our results provide indirect evidence for the hypothesis that cellular senescence may contribute to the pathogenesis of COPD and asthma, and that lung function may reflect biological ageing primarily due to intrinsic processes, which are likely to be aggravated in lung diseases.

  • 10. Allum, Fiona
    et al.
    Shao, Xiaojian
    Guénard, Frédéric
    Simon, Marie-Michelle
    Busche, Stephan
    Caron, Maxime
    Lambourne, John
    Lessard, Julie
    Tandre, Karolina
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Rheumatology.
    Hedman, Åsa K
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Kwan, Tony
    Ge, Bing
    Rönnblom, Lars
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Rheumatology.
    McCarthy, Mark I
    Deloukas, Panos
    Richmond, Todd
    Burgess, Daniel
    Spector, Timothy D
    Tchernof, André
    Marceau, Simon
    Lathrop, Mark
    Vohl, Marie-Claude
    Pastinen, Tomi
    Grundberg, Elin
    Characterization of functional methylomes by next-generation capture sequencing identifies novel disease-associated variants2015In: Nature Communications, ISSN 2041-1723, E-ISSN 2041-1723, Vol. 6, article id 7211Article in journal (Refereed)
    Abstract [en]

    Most genome-wide methylation studies (EWAS) of multifactorial disease traits use targeted arrays or enrichment methodologies preferentially covering CpG-dense regions, to characterize sufficiently large samples. To overcome this limitation, we present here a new customizable, cost-effective approach, methylC-capture sequencing (MCC-Seq), for sequencing functional methylomes, while simultaneously providing genetic variation information. To illustrate MCC-Seq, we use whole-genome bisulfite sequencing on adipose tissue (AT) samples and public databases to design AT-specific panels. We establish its efficiency for high-density interrogation of methylome variability by systematic comparisons with other approaches and demonstrate its applicability by identifying novel methylation variation within enhancers strongly correlated to plasma triglyceride and HDL-cholesterol, including at CD36. Our more comprehensive AT panel assesses tissue methylation and genotypes in parallel at ∼4 and ∼3 M sites, respectively. Our study demonstrates that MCC-Seq provides comparable accuracy to alternative approaches but enables more efficient cataloguing of functional and disease-relevant epigenetic and genetic variants for large-scale EWAS.

  • 11.
    Almby, Kristina E.
    et al.
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Clinical diabetology and metabolism.
    Abrahamsson, Niclas
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Clinical diabetology and metabolism.
    Lundqvist, Martin H.
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Clinical diabetology and metabolism.
    Hammar, Ulf
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology.
    Thombare, Ketan
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Clinical diabetology and metabolism.
    Panagiotou, Amalia
    Uppsala Univ Hosp, Dept Internal Med, Uppsala, Sweden.
    Karlsson, Anders
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Clinical diabetology and metabolism.
    Sundbom, Magnus
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Upper Abdominal Surgery.
    Wiklund, Urban
    Umea Univ, Dept Radiat Sci, Biomed Engn, Umea, Sweden.
    Eriksson, Jan
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Clinical diabetology and metabolism.
    Effects of GLP-1 on counter-regulatory responses during hypoglycemia after GBP surgery2019In: European Journal of Endocrinology, ISSN 0804-4643, E-ISSN 1479-683X, Vol. 181, no 2, p. 161-171Article in journal (Refereed)
    Abstract [en]

    Objectives: The aim of the study was to explore the role of GLP-1 receptor activation on the counter-regulation and symptoms of hypoglycemia in subjects who have undergone gastric bypass surgery (GBP).

    Design: Experimental hyperinsulinemic-hypoglycemic clamp study.

    Methods: Twelve post-GBP subjects participated in a randomized cross-over study with two hyperinsulinemic, hypoglycemic clamps (glucose nadir 2.7 mmol/L) performed on separate days with concomitant infusions of the GLP-1 analog exenatide or with saline, respectively. Continuous measurements of metabolites and counter-regulatory hormones as well as assessments of heart rate variability and symptoms of hypoglycemia were performed throughout the clamps.

    Results: No effect of GLP-1 receptor activation on counter-regulatory hormones (glucagon, catecholamines, cortisol, GH) or glucose infusion rate was seen, but we found indications of a downregulation of the sympathetic relative to the parasympathetic nerve activity, as reflected in heart rate variability. No significant differences in symptom of hypoglycemia were observed.

    Conclusions/interpretation: Short-term exposure to a GLP-1 receptor agonist does not seem to impact the counter-regulatory hormonal and metabolic responses in post-GBP subjects during hypoglycemic conditions, suggesting that the improvement in symptomatic hypoglycemia post-GBP seen following treatment with GLP-1 receptor agonists may be mediated by mechanism not directly involved in counter-regulation.

  • 12.
    Andersen, Kasper
    et al.
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cardiovascular epidemiology.
    Daniela, Mariosa
    Adami, Hans-Olov
    Held, Claes
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm, UCR-Uppsala Clinical Research Center. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences.
    Ingelsson, Erik
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm, UCR-Uppsala Clinical Research Center. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology.
    Lagerros, Ylva Trolle
    Nyren, Olof
    Ye, Weimin
    Bellocco, Rino
    Sundström, Johan
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cardiovascular epidemiology. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm, UCR-Uppsala Clinical Research Center.
    Dose–Response Relationship of Total and Leisure Time Physical Activity to Risk of Heart Failure: a prospective cohort study2014In: Circulation Heart Failure, ISSN 1941-3289, E-ISSN 1941-3297, Vol. 7, no 5, p. 16p. 701-708Article in journal (Refereed)
    Abstract [en]

    Background—The nature of the association between levels of physical activity and risk of heart failure is little known. We investigated nonlinear associations of total and leisure time physical activity with risk of heart failure.

    Methods and Results—In 1997, 39 805 persons without heart failure completed a questionnaire of lifestyle factors and medical history. We used Cox regression models to investigate total (adjusting for education and previous myocardial infarction) and direct (multivariable-adjusted) effects of self-reported total and leisure time physical activity on risk of heart failure of any cause and heart failure of nonischemic origin. Heart failure diagnoses were obtained until December 31, 2010. Higher leisure time physical activity was associated with lower risk of heart failure of any cause; hazard ratio of the total effect of leisure time physical activity was for fifth versus first quintile 0.54; 95% confidence interval was 0.44 to 0.66. The direct effect was similar. High total daily physical activity level was associated with lower risk of heart failure, although the effect was less pronounced than for leisure time physical activity (total effect hazard ratio, 0.81; 95% confidence interval, 0.69–0.95; fifth versus first quintile). A similar direct effect observed.

    Conclusions—Leisure time physical activity was inversely related to risk of developing heart failure in a dose–response fashion. This was reflected in a similar but less pronounced association of total physical activity with risk of heart failure. Only part of the effects appeared to be mediated by traditional risk factors.

  • 13.
    Andersen, Kasper
    et al.
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cardiovascular epidemiology.
    Lind, Lars
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cardiovascular epidemiology.
    Ingelsson, Erik
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology.
    Ärnlöv, Johan
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Public Health and Caring Sciences, Geriatrics.
    Byberg, Liisa
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Orthopaedics.
    Michaëlsson, Karl
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Orthopaedics.
    Sundström, Johan
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cardiovascular epidemiology. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm, UCR-Uppsala Clinical Research Center.
    Skeletal muscle morphology and risk of cardiovascular disease in elderly men2015In: European Journal of Preventive Cardiology, ISSN 2047-4873, E-ISSN 2047-4881, Vol. 22, no 2, p. 231-239Article in journal (Refereed)
    Abstract [en]

    BACKGROUND:

    While it is well known that physical inactivity is a major risk factor for cardiovascular disease, there is still a search for the mechanisms by which exercise exerts its positive effect. Skeletal muscle fibre type can be affected to some extent by exercise, and different fibre types possess different anti-inflammatory and glucometabolic properties that may influence cardiovascular disease risk.

    DESIGN:

    Population-based cohort study.

    METHODS:

    We investigated relations of skeletal muscle morphology to risk of cardiovascular events in a sample of 466 71-year-old men without cardiovascular disease, of which 295 were physically active (strenuous physical activity at least 3 h/week).

    RESULTS:

    During a median of 13.1 years of follow up, 173 major cardiovascular events occurred. Among physically active men, 10% higher proportion of type-I (slow-twitch oxidative) fibres was associated with a hazard ratio (HR) of 0.84 (95% confidence interval 0.74-0.95) for cardiovascular events, and 10% higher proportion of type-IIx (fast-twitch glycolytic) fibres was associated with a HR of 1.24 (1.06-1.45), adjusting for age. Similar results were observed in several sets of multivariable-adjusted models. No association of muscle fibre type with risk of cardiovascular events was observed among physically inactive men.

    CONCLUSIONS:

    Higher skeletal muscle proportion of type-I fibres was associated with lower risk of cardiovascular events and a higher proportion of type-IIx fibres was associated with higher risk of cardiovascular events. These relations were only observed in physically active men. Skeletal muscle fibre composition may be a mediator of the protective effects of exercise against cardiovascular disease.

  • 14.
    Arefalk, Gabriel
    et al.
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cardiovascular epidemiology.
    Galanti, Rosaria
    Lundberg, Michael
    Ye, Weimin
    Norberg, Margareta
    Lindmark, Krister
    Pedersen, Nancy
    Trolle Lagerros, Ylva
    Bellocco, Rino
    Lager, Anton
    Wennberg, Patrik
    Eriksson, Marie
    Östergren, Per-Olof
    Alfredsson, Lars
    Sundström, Johan
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Public Health and Caring Sciences, Geriatrics. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm, UCR-Uppsala Clinical Research Center. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cardiology. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cardiovascular epidemiology. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Magnusson, Cecilia
    Smokeless Tobacco (Snus) and Risk of Heart Failure of Ischemic and Non-Ischemic Origin: a Pooled Analysis of Eight Prospective Cohort StudiesManuscript (preprint) (Other academic)
    Abstract [en]

    Background

    Snus, a Swedish type of smokeless tobacco, has potent acute hemodynamic effects, which could provoke stress on the cardiovascular system, including the myocardium. Snus has, however, not been linked to risk of ischemic heart disease. Therefore, we hypothesized that snus use increases the risk for heart failure of non-ischemic origin.

    Methods

    We conducted a pooled analysis of eight Swedish prospective cohort studies involving individual participant data from 350,711 men. Shared frailty models with random effects at the cohort level, were used to estimate hazard ratios (HRs) with 95 % confidence intervals (CIs) of heart failure in relation to snus use. We investigated dose-response associations, and association with ischemic and non-ischemic heart failure in separate. For positive control purposes, we also investigated associations between smoking and risk of heart failure.

    Results

    During a median follow-up time of 16 years, 5,404 men were hospitalized for heart failure. In models adjusting for age, smoking, previous myocardial infarction and educational level, current snus use was associated with a higher risk of heart failure (HR 1.27, 95 % CI 1.07-1.50), relative to non-current snus use. A dose-response pattern was observed, with higher risk with more snus cans used per week. We observed an association of snus use with non-ischemic heart failure, HR 1.34 (95 % CI 1.11-1.63), but not with ischemic heart failure, HR 1.01 (95 % CI 0.72-1.42). Smoking was more strongly associated with heart failure, particularly of ischemic origin, than snus use.

    Conclusions

    Snus use was associated with a modestly increased risk for heart failure of non-ischemic origin in a dose-response manner. This finding has public health implications for the risk assessment of snus use, and potentially other modes of smokeless use of nicotine.

  • 15.
    Arefalk, Gabriel
    et al.
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cardiovascular epidemiology.
    Svennblad, Bodil
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Mathematics. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm, UCR-Uppsala Clinical Research Center.
    Andersen, Kasper
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm, UCR-Uppsala Clinical Research Center. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cardiovascular epidemiology.
    James, Stefan K
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cardiology. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm, UCR-Uppsala Clinical Research Center. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Clinical Physiology.
    Varenhorst, Christoph
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences.
    Sundström, Johan
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Public Health and Caring Sciences, Geriatrics. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm, UCR-Uppsala Clinical Research Center. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cardiology. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cardiovascular epidemiology. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Smokeless Tobacco (Snus) and Outcome of Myocardial Infarction: a SWEDEHEART StudyManuscript (preprint) (Other academic)
    Abstract [en]

    Background

    Based on effects of nicotine and snus (a smokeless tobacco) on hemodynamics, pro-arrhythmia and remodelling, in combination with indications of increased risk for fatal myocardial infarction (MI) in snus users; we hypothesised that the outcome of an MI may be worse in snus users.

    Methods

    Data was extracted from the SWEDEHEART registry for all patients who underwent coronary angiography in Sweden due to MI between December 2009 and December 2014. In snus users (n=4,950) relative to snus non-users (n=55,412), we compared risks of a large MI (defined as hs-cTnT of  > 10,000 ng/L, cTnT > 10 μg/L or cTnI > 10 μg/L) and death in the acute (in-hospital) setting, and death+HF (a combined endpoint of all-cause death or hospitalization for heart failure) and all-cause death at short- (<28 days) and long-term follow-up. Relations of snus use to outcomes were also analysed in pre-specified subgroups of never, previous and current smokers.

    Results

    A large MI was diagnosed in 10,975 patients. During long-term follow-up (median 1.9 years), 7,758 either died (n=6,044) or were hospitalized due to heart failure (n=1,714). In models adjusting for age, gender, smoking, previous MI and occupational classification (employed, unemployed/sick leave and retired), snus use was not associated with risk of large MI (odds ratio 1.01; 95% confidence interval (CI) 0.93-1.09) or death+HF (long-term Cox proportional hazard ratio (HR) 0.99; 95% CI 0.90-1.10). Nonetheless, among never-smokers snus use was associated with an increased risk for death+HF (long-term HR 1.26, 95% CI 1.03-1.55), driven by a higher mortality risk (long-term HR for death of any cause 1.29, 95% CI 1.02-1.64).

    Conclusions

    In this study, snus use was unrelated to acute, short-term or long-term adverse outcomes after an MI. Among never-smokers, snus use was associated with an increased risk of post-MI death.

  • 16.
    Arendt, Maja
    et al.
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Genomics. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Fall, Tove
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology.
    Lindblad-Toh, Kerstin
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Genomics. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Axelsson, Erik
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Genomics. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Amylase activity is associated with AMY2B copy numbers in dog: implications for dog domestication, diet and diabetes2014In: Animal Genetics, ISSN 0268-9146, E-ISSN 1365-2052, Vol. 45, no 5, p. 716-722Article in journal (Refereed)
    Abstract [en]

    High amylase activity in dogs is associated with a drastic increase in copy numbers of the gene coding for pancreatic amylase, AMY2B, that likely allowed dogs to thrive on a relatively starch-rich diet during early dog domestication. Although most dogs thus probably digest starch more efficiently than do wolves, AMY2B copy numbers vary widely within the dog population, and it is not clear how this variation affects the individual ability to handle starch nor how it affects dog health. In humans, copy numbers of the gene coding for salivary amylase, AMY1, correlate with both salivary amylase levels and enzyme activity, and high amylase activity is related to improved glycemic homeostasis and lower frequencies of metabolic syndrome. Here, we investigate the relationship between AMY2B copy numbers and serum amylase activity in dogs and show that amylase activity correlates with AMY2B copy numbers. We then describe how AMY2B copy numbers vary in individuals from 20 dog breeds and find strong breed-dependent patterns, indicating that the ability to digest starch varies both at the breed and individual level. Finally, to test whether AMY2B copy number is strongly associated with the risk of developing diabetes mellitus, we compare copy numbers in cases and controls as well as in breeds with varying diabetes susceptibility. Although we see no such association here, future studies using larger cohorts are needed before excluding a possible link between AMY2B and diabetes mellitus.

  • 17. 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 University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology. Uppsala University, 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 University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences.
    Franco, Oscar H
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences.
    Hofman, Albert
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences.
    Kors, Jan A
    Uitterlinden, André G
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences.
    Witteman, Jacqueline C M
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences.
    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 University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Lind, Lars
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cardiovascular epidemiology.
    Sundström, Johan
    Syvänen, Ann-Christine
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular Medicine. Uppsala University, 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 University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology. Uppsala University, 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 University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences.
    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.2014In: Nature Genetics, ISSN 1061-4036, E-ISSN 1546-1718, Vol. 46, no 8, p. 826-836Article in journal (Refereed)
    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.

  • 18.
    Atabaki-Pasdar, Naeimeh
    et al.
    Lund Univ, Dept Clin Sci, Genet & Mol Epidemiol Unit, SE-20502 Malmo, Sweden..
    Ohlsson, Mattias
    Lund Univ, Dept Astron & Theoret Phys, Computat Biol & Biol Phys Unit, Lund, Sweden..
    Shungin, Dmitry
    Lund Univ, Dept Clin Sci, Genet & Mol Epidemiol Unit, SE-20502 Malmo, Sweden..
    Kurbasic, Azra
    Lund Univ, Dept Clin Sci, Genet & Mol Epidemiol Unit, SE-20502 Malmo, Sweden..
    Ingelsson, Erik
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology.
    Pearson, Ewan R.
    Univ Dundee, Med Res Inst, Div Cardiovasc & Diabet Med, Dundee, Scotland..
    Ali, Ashfaq
    Lund Univ, Dept Clin Sci, Genet & Mol Epidemiol Unit, SE-20502 Malmo, Sweden..
    Franks, Paul W.
    Lund Univ, Dept Clin Sci, Genet & Mol Epidemiol Unit, SE-20502 Malmo, Sweden.;Umea Univ, Dept Publ Hlth & Clin Med, Umea, Sweden.;Harvard Sch Publ Hlth, Dept Nutr, Boston, MA 02115 USA..
    Statistical power considerations in genotype-based recall randomized controlled trials2016In: Scientific Reports, ISSN 2045-2322, E-ISSN 2045-2322, Vol. 6, article id 37307Article in journal (Refereed)
    Abstract [en]

    Randomized controlled trials (RCT) are often underpowered for validating gene-treatment interactions. Using published data from the Diabetes Prevention Program (DPP), we examined power in conventional and genotype-based recall (GBR) trials. We calculated sample size and statistical power for genemetformin interactions (vs. placebo) using incidence rates, gene-drug interaction effect estimates and allele frequencies reported in the DPP for the rs8065082 SLC47A1 variant, a metformin transported encoding locus. We then calculated statistical power for interactions between genetic risk scores (GRS), metformin treatment and intensive lifestyle intervention (ILI) given a range of sampling frames, clinical trial sample sizes, interaction effect estimates, and allele frequencies; outcomes were type 2 diabetes incidence (time-to-event) and change in small LDL particles (continuous outcome). Thereafter, we compared two recruitment frameworks: GBR (participants recruited from the extremes of a GRS distribution) and conventional sampling (participants recruited without explicit emphasis on genetic characteristics). We further examined the influence of outcome measurement error on statistical power. Under most simulated scenarios, GBR trials have substantially higher power to observe gene-drug and gene-lifestyle interactions than same-sized conventional RCTs. GBR trials are becoming popular for validation of gene-treatment interactions; our analyses illustrate the strengths and weaknesses of this design.

  • 19.
    Barban, Nicola
    et al.
    Univ Oxford, Dept Sociol, Oxford, England.;Univ Oxford, Nuffield Coll, Oxford, England..
    Jansen, Rick
    Vrije Univ Amsterdam Med Ctr, Dept Psychiat, Amsterdam, Netherlands..
    de Vlaming, Ronald
    Erasmus Sch Econ, Dept Appl Econ, Rotterdam, Netherlands.;Univ Med Ctr Rotterdam, Erasmus MC, Dept Epidemiol, Rotterdam, Netherlands.;Erasmus Univ, Inst Behav & Biol, Rotterdam, Netherlands..
    Vaez, Ahmad
    Univ Groningen, Univ Med Ctr Groningen, Dept Epidemiol, Groningen, Netherlands.;Isfahan Univ Med Sci, Res Inst Primordial Prevent Noncommunicable Dis, Esfahan, Iran..
    Mandemakers, Jornt J.
    Wageningen Univ Res, Sociol Consumpt & Households, Wageningen, Netherlands..
    Tropf, Felix C.
    Univ Oxford, Dept Sociol, Oxford, England.;Univ Oxford, Nuffield Coll, Oxford, England..
    Shen, Xia
    Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden.;Univ Edinburgh, MRC Human Genet Unit, MRC Inst Genet & Mol Med, Edinburgh, Midlothian, Scotland.;Univ Edinburgh, Usher Inst Populat Hlth Sci & Informat, Ctr Global Hlth Res, Edinburgh, Midlothian, Scotland..
    Wilson, James F.
    Univ Edinburgh, MRC Human Genet Unit, MRC Inst Genet & Mol Med, Edinburgh, Midlothian, Scotland.;Univ Edinburgh, Usher Inst Populat Hlth Sci & Informat, Ctr Global Hlth Res, Edinburgh, Midlothian, Scotland..
    Chasman, Daniel I.
    Brigham & Womens Hosp, 75 Francis St, Boston, MA 02115 USA.;Harvard Med Sch, Boston, MA USA..
    Nolte, Illa M.
    Univ Groningen, Univ Med Ctr Groningen, Dept Epidemiol, Groningen, Netherlands..
    Tragante, Vinicius
    Univ Med Ctr Utrecht, Div Heart & Lungs, Dept Cardiol, Utrecht, Netherlands..
    van der Laan, Sander W.
    Univ Med Ctr Utrecht, Div Heart & Lungs, Lab Expt Cardiol, Utrecht, Netherlands..
    Perry, John R. B.
    Univ Cambridge, Inst Metab Sci, MRC Epidemiol Unit, Cambridge, England..
    Kong, Augustine
    Univ Iceland, Sch Engn & Nat Sci, Reykjavik, Iceland.;Amgen Inc, deCODE Genet, Reykjavik, Iceland..
    Ahluwalia, Tarunveer S.
    Univ Copenhagen, Fac Hlth & Med Sci, Sect Metab Genet, Novo Nordisk Fdn Ctr Basic Metab Res, Copenhagen, Denmark.;Steno Diabet Ctr, Gentofte, Denmark.;Univ Copenhagen, Herlev & Gentofte Hosp, Copenhagen Prospect Studies Asthma Childhood, COPSAC, Copenhagen, Denmark..
    Albrecht, Eva
    Helmholtz Zentrum Munchen, German Res Ctr Environm Hlth, Inst Genet Epidemiol, Neuherberg, Germany..
    Yerges-Armstrong, Laura
    Univ Maryland, Sch Med, Div Endocrinol Diabet & Nutr, Baltimore, MD 21201 USA..
    Atzmon, Gil
    Albert Einstein Coll Med, Dept Med, Inst Aging Res, Bronx, NY 10467 USA.;Albert Einstein Coll Med, Diabet Res Ctr, Bronx, NY 10467 USA.;Albert Einstein Coll Med, Inst Aging Res, Dept Genet, Bronx, NY 10467 USA.;Univ Haifa, Dept Nat Sci, Haifa, Israel..
    Auro, Kirsi
    Natl Inst Hlth & Welf, Dept Hlth, Helsinki, Finland.;Univ Helsinki, Inst Mol Med FIMM, Helsinki, Finland..
    Ayers, Kristin
    Newcastle Univ, Inst Genet Med, Newcastle Upon Tyne, Tyne & Wear, England..
    Bakshi, Andrew
    Univ Queensland, Queensland Brain Inst, Brisbane, Qld, Australia..
    Ben-Avraham, Danny
    Albert Einstein Coll Med, Inst Aging Res, Dept Genet, Bronx, NY 10467 USA..
    Berger, Klaus
    Univ Munster, Inst Epidemiol & Social Med, Munster, Germany..
    Bergman, Aviv
    Albert Einstein Coll Med, Dept Syst & Computat Biol, Bronx, NY 10467 USA.;Albert Einstein Coll Med, Dept Pathol, Bronx, NY 10467 USA.;Albert Einstein Coll Med, Dept Neurosci, Bronx, NY 10467 USA..
    Bertram, Lars
    Univ Lubeck, Lubeck Interdisciplinary Platform Genome Analyt, Inst Neurogenet, Lubeck, Germany.;Univ Lubeck, Inst Integrat & Expt Genom, Lubeck, Germany.;Imperial Coll, Fac Med, Sch Publ Hlth, London, England..
    Bielak, Lawrence F.
    Univ Michigan, Dept Epidemiol, Ann Arbor, MI 48109 USA..
    Bjornsdottir, Gyda
    Amgen Inc, deCODE Genet, Reykjavik, Iceland..
    Bonder, Marc Jan
    Univ Groningen, Univ Med Ctr Groningen, Dept Genet, Genom Coordinat Ctr, Groningen, Netherlands..
    Broer, Linda
    Erasmus MC, Dept Internal Med, Rotterdam, Netherlands..
    Bui, Minh
    Univ Melbourne, Melbourne Sch Populat & Global Hlth, Ctr Epidemiol & Biostat, Melbourne, Vic, Australia..
    Barbieri, Caterina
    San Raffaele Res Inst, Div Genet & Cell Biol, Milan, Italy..
    Cavadino, Alana
    UCL Inst Child Hlth, Populat Policy & Practice, London, England.;Queen Mary Univ London, Wolfson Inst Preventat Med, Ctr Environm & Prevent Med, London, England..
    Chavarro, Jorge E.
    Harvard TH Chan Sch Publ Hlth, Dept Nutr, Boston, MA USA.;Brigham & Womens Hosp, Dept Med, 75 Francis St, Boston, MA 02115 USA.;Harvard Med Sch, Boston, MA USA.;Harvard TH Chan Sch Publ Hlth, Dept Epidemiol, Boston, MA USA..
    Turman, Constance
    Harvard TH Chan Sch Publ Hlth, Dept Epidemiol, Boston, MA USA..
    Concas, Maria Pina
    CNR, UOS Sassari, Inst Genet & Biomed Res, Sassari, Italy..
    Cordell, Heather J.
    Newcastle Univ, Inst Genet Med, Newcastle Upon Tyne, Tyne & Wear, England..
    Davies, Gail
    Univ Edinburgh, Ctr Cognit Ageing & Cognit Epidemiol, Edinburgh, Midlothian, Scotland.;Univ Edinburgh, Dept Psychol, Edinburgh, Midlothian, Scotland..
    Eibich, Peter
    Univ Oxford, Hlth Econ Res Ctr, Oxford, England..
    Eriksson, Nicholas
    23andMe Inc, Mountain View, CA USA..
    Esko, Tonu
    Broad Inst MIT & Harvard, Cambridge, MA USA..
    Eriksson, Joel
    Univ Gothenburg, Sahlgrenska Acad, Inst Med, Ctr Bone & Arthrit Res, Gothenburg, Sweden..
    Falahi, Fahimeh
    Univ Groningen, Univ Med Ctr Groningen, Dept Epidemiol, Groningen, Netherlands..
    Felix, Janine F.
    Univ Med Ctr Rotterdam, Erasmus MC, Dept Epidemiol, Rotterdam, Netherlands.;Univ Med Ctr Rotterdam, Erasmus MC, Generat R Study Grp, Rotterdam, Netherlands.;Univ Med Ctr Rotterdam, Erasmus MC, Dept Pediat, Rotterdam, Netherlands..
    Fontana, Mark Alan
    Univ Southern Calif, Ctr Econ & Social Res, Los Angeles, CA USA..
    Franke, Lude
    Univ Groningen, Univ Med Ctr Groningen, Dept Genet, Genom Coordinat Ctr, Groningen, Netherlands..
    Gandin, Ilaria
    Univ Trieste, Dept Med Surg & Hlth Sci, Trieste, Italy..
    Gaskins, Audrey J.
    Harvard TH Chan Sch Publ Hlth, Dept Nutr, Boston, MA USA..
    Gieger, Christian
    Helmholtz Zentrum Munchen, German Res Ctr Environm Hlth, Res Unit Mol Epidemiol, Neuherberg, Germany.;Helmholtz Zentrum Munchen, German Res Ctr Environm Hlth, Inst Epidemiol 2, Neuherberg, Germany..
    Gunderson, Erica P.
    Kaiser Permanente Northern Calif, Div Res, Cardiovasc & Metab Condit Sect, Oakland, CA USA..
    Guo, Xiuqing
    Harbor UCLA Med Ctr, Los Angeles Biomed Res Inst, Inst Translat Genom & Populat Sci, Torrance, CA 90509 USA..
    Hayward, Caroline
    Univ Edinburgh, MRC Human Genet Unit, MRC Inst Genet & Mol Med, Edinburgh, Midlothian, Scotland..
    He, Chunyan
    Indiana Univ, Richard M Fairbanks Sch Publ Hlth, Dept Epidemiol, Indianapolis, IN 46204 USA..
    Hofer, Edith
    Med Univ Graz, Clin Div Neurogeriatr, Dept Neurol, Graz, Austria.;Med Univ Graz, Inst Med Informat Stat & Documentat, Graz, Austria..
    Huang, Hongyan
    Harvard TH Chan Sch Publ Hlth, Dept Epidemiol, Boston, MA USA..
    Joshi, Peter K.
    Univ Edinburgh, Usher Inst Populat Hlth Sci & Informat, Ctr Global Hlth Res, Edinburgh, Midlothian, Scotland..
    Kanoni, Stavroula
    Queen Mary Univ London, Barts & London Sch Med & Dent, William Harvey Res Inst, London, England..
    Karlsson, Robert
    Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden..
    Kiechl, Stefan
    Med Univ Innsbruck, Dept Neurol, Innsbruck, Austria..
    Kifley, Annette
    Univ Sydney, Dept Ophthalmol, Ctr Vis Res, Westmead, NSW, Australia.;Univ Sydney, Westmead Inst Med Res, Westmead, NSW, Australia..
    Kluttig, Alexander
    Martin Luther Univ Halle Wittenberg, Inst Med Epidemiol Biostat & Informat, Halle, Saale, Germany..
    Kraft, Peter
    Harvard TH Chan Sch Publ Hlth, Dept Epidemiol, Boston, MA USA.;Harvard TH Chan Sch Publ Hlth, Dept Biostat, Boston, MA USA..
    Lagou, Vasiliki
    Katholieke Univ Leuven, Dept Neurosci, Leuven, Belgium.;Katholieke Univ Leuven, Dept Microbiol & Immunol, Leuven, Belgium.;VIB, Translat Immunol Lab, Leuven, Belgium..
    Lecoeur, Cecile
    Univ Lille, CNRS, Inst Pasteur Lille, Lille, France..
    Lahti, Jari
    Univ Helsinki, Inst Behav Sci, Helsinki, Finland.;Univ Helsinki, Helsinki Coll Adv Studies, Helsinki, Finland.;Folkhalsan Res Ctr, Helsinki, Finland..
    Li-Gao, Ruifang
    Leiden Univ, Med Ctr, Dept Clin Epidemiol, Leiden, Netherlands..
    Lind, Penelope A.
    QIMR Berghofer Med Res Inst, Psychiat Genet, Herston Brisbane, Qld, Australia..
    Liu, Tian
    Max Planck Inst Human Dev, Ctr Lifespan Psychol, Berlin, Germany.;Max Planck Inst Mol Genet, Dept Vertebrate Genom, Berlin, Germany..
    Makalic, Enes
    Univ Melbourne, Melbourne Sch Populat & Global Hlth, Ctr Epidemiol & Biostat, Melbourne, Vic, Australia..
    Mamasoula, Crysovalanto
    Newcastle Univ, Inst Genet Med, Newcastle Upon Tyne, Tyne & Wear, England..
    Matteson, Lindsay
    Univ Minnesota, Dept Psychol, Minnesota Ctr Twin & Family Res, Minneapolis, MN USA..
    Mbarek, Hamdi
    Vrije Univ Amsterdam, Dept Biol Psychol, Amsterdam, Netherlands.;EMGO Inst Hlth & Care Res, Amsterdam, Netherlands..
    McArdle, Patrick F.
    Univ Maryland, Sch Med, Div Endocrinol Diabet & Nutr, Baltimore, MD 21201 USA..
    McMahon, George
    Univ Bristol, Sch Social & Community Med, Bristol, Avon, England..
    Meddens, S. Fleur W.
    Erasmus Univ, Inst Behav & Biol, Rotterdam, Netherlands.;Vrije Univ Amsterdam, Complex Trait Genet, Amsterdam, Netherlands..
    Mihailov, Evelin
    Univ Tartu, Estonian Genome Ctr, Tartu, Estonia..
    Miller, Mike
    Univ Minnesota, Dept Psychol, Minneapolis, MN USA..
    Missmer, Stacey A.
    Harvard TH Chan Sch Publ Hlth, Dept Epidemiol, Boston, MA USA.;Brigham & Womens Hosp, Dept Obstet Gynecol & Reprod Biol, Boston, MA USA.;Harvard Med Sch, Boston, MA USA..
    Monnereau, Claire
    Univ Med Ctr Rotterdam, Erasmus MC, Dept Epidemiol, Rotterdam, Netherlands.;Univ Med Ctr Rotterdam, Erasmus MC, Generat R Study Grp, Rotterdam, Netherlands.;Univ Med Ctr Rotterdam, Erasmus MC, Dept Pediat, Rotterdam, Netherlands..
    van der Most, Peter J.
    Univ Groningen, Univ Med Ctr Groningen, Dept Epidemiol, Groningen, Netherlands..
    Myhre, Ronny
    Inst Publ Hlth, Area Hlth Data & Digitalizat, Dept Genet & Bioinformat, Oslo, Norway..
    Nalls, Mike A.
    NIA, Lab Neurogenet, US Natl Inst Hlth, Bethesda, MD 20892 USA..
    Nutile, Teresa
    CNR, Inst Genet & Biophys A Buzzati Traverso, Naples, Italy..
    Kalafati, Ioanna Panagiota
    Harokopio Univ, Sch Hlth Sci & Educ, Dept Nutr & Dietet, Athens, Greece..
    Porcu, Eleonora
    Cittadella Univ Monserrato, Ist Ric Genet & Biomed, CMR, Cagliari, Italy.;Univ Sassari, Dipartimento Sci Biomed, Sassari, Italy..
    Prokopenko, Inga
    Imperial Coll London, Sch Publ Hlth, Dept Genom Common Dis, London, England.;Univ Oxford, Nuffield Dept Med, Wellcome Trust Ctr Human Genet, Oxford, England.;Univ Oxford, Radcliffe Dept Med, Oxford Ctr Diabet Endocrinol & Metab, Oxford, England..
    Rajan, Kumar B.
    Rush Univ, Med Ctr, Chicago, IL 60612 USA..
    Rich-Edwards, Janet
    Brigham & Womens Hosp, Dept Med, 75 Francis St, Boston, MA 02115 USA.;Harvard Med Sch, Boston, MA USA.;Harvard TH Chan Sch Publ Hlth, Dept Epidemiol, Boston, MA USA.;Brigham & Womens Hosp, Connors Ctr Womens Hlth & Gender Biol, 75 Francis St, Boston, MA 02115 USA.;Harvard Med Sch, Boston, MA USA..
    Rietveld, Cornelius A.
    Erasmus Sch Econ, Dept Appl Econ, Rotterdam, Netherlands.;Univ Med Ctr Rotterdam, Erasmus MC, Dept Epidemiol, Rotterdam, Netherlands.;Erasmus Univ, Inst Behav & Biol, Rotterdam, Netherlands..
    Robino, Antonietta
    IRCCS Burlo Garofolo, Inst Maternal & Child Hlth, Trieste, Italy..
    Rose, Lynda M.
    Brigham & Womens Hosp, 75 Francis St, Boston, MA 02115 USA.;Harvard Med Sch, Boston, MA USA..
    Rueedi, Rico
    Univ Lausanne, Dept Computat Biol, Lausanne, Switzerland.;Swiss Inst Bioinformat, Lausanne, Switzerland..
    Ryan, Kathleen-A
    Univ Maryland, Sch Med, Div Endocrinol Diabet & Nutr, Baltimore, MD 21201 USA..
    Saba, Yasaman
    Med Univ Graz, Ctr Mol Med, Inst Mol Biol & Biochem, Graz, Austria..
    Schmidt, Daniel
    Univ Melbourne, Melbourne Sch Populat & Global Hlth, Ctr Epidemiol & Biostat, Melbourne, Vic, Australia..
    Smith, Jennifer A.
    Univ Michigan, Dept Epidemiol, Ann Arbor, MI 48109 USA..
    Stolk, Lisette
    Erasmus MC, Dept Internal Med, Rotterdam, Netherlands..
    Streeten, Elizabeth
    Univ Maryland, Sch Med, Div Endocrinol Diabet & Nutr, Baltimore, MD 21201 USA..
    Toenjes, Anke
    Univ Leipzig, Dept Med, Leipzig, Germany..
    Thorleifsson, Gudmar
    Amgen Inc, deCODE Genet, Reykjavik, Iceland..
    Ulivi, Sheila
    IRCCS Burlo Garofolo, Inst Maternal & Child Hlth, Trieste, Italy..
    Wedenoja, Juho
    Univ Helsinki, Dept Publ Hlth, Helsinki, Finland..
    Wellmann, Juergen
    Univ Munster, Inst Epidemiol & Social Med, Munster, Germany..
    Willeit, Peter
    Med Univ Innsbruck, Dept Neurol, Innsbruck, Austria.;Kings British Heart Fdn Ctr, Kings Coll London, London, England.;Univ Cambridge, Dept Publ Hlth & Primary Care, Cambridge, England..
    Yao, Jie
    Harbor UCLA Med Ctr, Los Angeles Biomed Res Inst, Inst Translat Genom & Populat Sci, Torrance, CA 90509 USA..
    Yengo, Loic
    Univ Lille, CNRS, Inst Pasteur Lille, Lille, France.;Univ Queensland, Ctr Neurogenet & Stat Genom, Brisbane, Qld, Australia..
    Zhao, Jing Hua
    Univ Cambridge, Inst Metab Sci, MRC Epidemiol Unit, Cambridge, England..
    Zhao, Wei
    Univ Michigan, Dept Epidemiol, Ann Arbor, MI 48109 USA..
    Zhernakova, Dania V.
    Univ Groningen, Univ Med Ctr Groningen, Dept Genet, Genom Coordinat Ctr, Groningen, Netherlands..
    Amin, Najaf
    Univ Med Ctr Rotterdam, Erasmus MC, Dept Epidemiol, Rotterdam, Netherlands..
    Andrews, Howard
    New York State Psychiat Inst & Hosp, Data Coordinating Ctr, New York, NY 10032 USA..
    Balkau, Beverley
    Univ Lille, CNRS, Inst Pasteur Lille, Lille, France..
    Barzilai, Nir
    Albert Einstein Coll Med, Dept Med, Inst Aging Res, Bronx, NY 10467 USA.;Albert Einstein Coll Med, Diabet Res Ctr, Bronx, NY 10467 USA..
    Bergmann, Sven
    Univ Lausanne, Dept Computat Biol, Lausanne, Switzerland.;Swiss Inst Bioinformat, Lausanne, Switzerland..
    Biino, Ginevra
    Natl Res Council Italy, Inst Mol Genet, Pavia, Italy..
    Bisgaard, Hans
    Univ Copenhagen, Herlev & Gentofte Hosp, Copenhagen Prospect Studies Asthma Childhood, COPSAC, Copenhagen, Denmark..
    Bonnelykke, Klaus
    Univ Copenhagen, Herlev & Gentofte Hosp, Copenhagen Prospect Studies Asthma Childhood, COPSAC, Copenhagen, Denmark..
    Boomsma, Dorret I.
    Vrije Univ Amsterdam, Dept Biol Psychol, Amsterdam, Netherlands.;EMGO Inst Hlth & Care Res, Amsterdam, Netherlands..
    Buring, Julie E.
    Brigham & Womens Hosp, 75 Francis St, Boston, MA 02115 USA.;Harvard Med Sch, Boston, MA USA..
    Campbell, Harry
    Univ Edinburgh, Usher Inst Populat Hlth Sci & Informat, Ctr Global Hlth Res, Edinburgh, Midlothian, Scotland..
    Cappellani, Stefania
    IRCCS Burlo Garofolo, Inst Maternal & Child Hlth, Trieste, Italy..
    Ciullo, Marina
    CNR, Inst Genet & Biophys A Buzzati Traverso, Naples, Italy.;IRCCS Neuromed, Pozzilli, Isernia, Italy..
    Cox, Simon R.
    Univ Edinburgh, Ctr Cognit Ageing & Cognit Epidemiol, Edinburgh, Midlothian, Scotland.;Univ Edinburgh, Dept Psychol, Edinburgh, Midlothian, Scotland..
    Cucca, Francesco
    Cittadella Univ Monserrato, Ist Ric Genet & Biomed, CMR, Cagliari, Italy.;Univ Sassari, Dipartimento Sci Biomed, Sassari, Italy..
    Toniolo, Daniela
    San Raffaele Res Inst, Div Genet & Cell Biol, Milan, Italy..
    Davey-Smith, George
    Univ Bristol, MRC Integrat Epidemiol Unit, Bristol, Avon, England..
    Deary, Ian J.
    Univ Edinburgh, Ctr Cognit Ageing & Cognit Epidemiol, Edinburgh, Midlothian, Scotland.;Univ Edinburgh, Dept Psychol, Edinburgh, Midlothian, Scotland..
    Dedoussis, George
    Harokopio Univ, Sch Hlth Sci & Educ, Dept Nutr & Dietet, Athens, Greece..
    Deloukas, Panos
    Queen Mary Univ London, Barts & London Sch Med & Dent, William Harvey Res Inst, London, England.;King Abdulaziz Univ, Princess Al Jawhara Al Brahim Ctr Excellence Res, Jeddah, Saudi Arabia..
    van Duijn, Cornelia M.
    Univ Med Ctr Rotterdam, Erasmus MC, Dept Epidemiol, Rotterdam, Netherlands..
    de Geus, Eco J. C.
    Vrije Univ Amsterdam, Dept Biol Psychol, Amsterdam, Netherlands.;EMGO Inst Hlth & Care Res, Amsterdam, Netherlands..
    Eriksson, Johan G.
    Folkhalsan Res Ctr, Helsinki, Finland.;Natl Inst Hlth & Welf, Dept Chron Dis Prevent, Helsinki, Finland.;Univ Helsinki, Dept Gen Practice & Primary Hlth Care, Helsinki, Finland.;Helsinki Univ Cent Hosp, Unit Gen Practice, Helsinki, Finland.;Vasa Cent Hosp, Vaasa, Finland..
    Evans, Denis A.
    Rush Univ, Med Ctr, Chicago, IL 60612 USA..
    Faul, Jessica D.
    Univ Michigan, Inst Social Res, Survey Res Ctr, Ann Arbor, MI USA..
    Sala, Cinzia Felicita
    San Raffaele Res Inst, Div Genet & Cell Biol, Milan, Italy..
    Froguel, Philippe
    Univ Lille, CNRS, Inst Pasteur Lille, Lille, France..
    Gasparini, Paolo
    Univ Trieste, Dept Med Surg & Hlth Sci, Trieste, Italy.;Sidra, Div Expt Genet, Doha, Qatar..
    Girotto, Giorgia
    Univ Trieste, Dept Med Surg & Hlth Sci, Trieste, Italy.;Sidra, Div Expt Genet, Doha, Qatar..
    Grabe, Hans-Joergen
    Univ Med Greifswald, Dept Psychiat, Greifswald, Germany..
    Greiser, Karin Halina
    German Canc Res Ctr, Div Canc Epidemiol, Heidelberg, Germany..
    Groenen, Patrick J. F.
    Erasmus Univ, Inst Behav & Biol, Rotterdam, Netherlands.;Erasmus Univ, Erasmus Sch Econ, Econometric Inst, Rotterdam, Netherlands..
    de Haan, Hugoline G.
    Leiden Univ, Med Ctr, Dept Clin Epidemiol, Leiden, Netherlands..
    Haerting, Johannes
    Martin Luther Univ Halle Wittenberg, Inst Med Epidemiol Biostat & Informat, Halle, Saale, Germany..
    Harris, Tamara B.
    NIA, Lab Epidemiol & Populat Sci, Bethesda, MD 20892 USA..
    Heath, Andrew C.
    QIMR Berghofer Med Res Inst, Genet Epidemiol, Brisbane, Qld, Australia..
    Heikkila, Kauko
    Univ Helsinki, Inst Mol Med FIMM, Helsinki, Finland..
    Hofman, Albert
    Univ Med Ctr Rotterdam, Erasmus MC, Dept Epidemiol, Rotterdam, Netherlands.;Erasmus Univ, Inst Behav & Biol, Rotterdam, Netherlands.;Harvard TH Chan Sch Publ Hlth, Dept Epidemiol, Boston, MA USA..
    Homuth, Georg
    Univ Med Greifswald, Interfac Inst Genet & Funct Genom, Greifswald, Germany..
    Holliday, Elizabeth G.
    Univ Newcastle, Sch Med & Publ Hlth, Newcastle, NSW, Australia.;Hunter Med Res Inst, Newcastle, NSW, Australia..
    Hopper, John
    Univ Melbourne, Melbourne Sch Populat & Global Hlth, Ctr Epidemiol & Biostat, Melbourne, Vic, Australia..
    Hypponen, Elina
    UCL Inst Child Hlth, Populat Policy & Practice, London, England.;Univ South Australia, Sansom Inst Hlth Res, Ctr Populat Hlth Res, Adelaide, SA, Australia.;Univ South Australia, Sch Hlth Sci, Adelaide, SA, Australia.;South Australian Hlth & Med Res Inst, Adelaide, SA, Australia..
    Jacobsson, Bo
    Inst Publ Hlth, Area Hlth Data & Digitalizat, Dept Genet & Bioinformat, Oslo, Norway.;Gothenburg Univ, Sahlgrenska Acad, Inst Clin Sci, Dept Obstet & Gynecol, Gothenburg, Sweden..
    Jaddoe', Vincent W. V.
    Univ Med Ctr Rotterdam, Erasmus MC, Dept Epidemiol, Rotterdam, Netherlands.;Univ Med Ctr Rotterdam, Erasmus MC, Generat R Study Grp, Rotterdam, Netherlands.;Univ Med Ctr Rotterdam, Erasmus MC, Dept Pediat, Rotterdam, Netherlands..
    Johannesson, Magnus
    Stockholm Sch Econ, Dept Econ, Stockholm, Sweden..
    Kahonen, Mika
    Univ Tampere, Dept Clin Physiol, Tampere, Finland.;Tampere Univ Hosp, Tampere, Finland.;Natl Inst Hlth & Welf, Diabet Prevent Unit, Helsinki, Finland..
    Kajantie, Eero
    Helsinki Univ Cent Hosp, Childrens Hosp, Helsinki, Finland.;Univ Helsinki, Helsinki, Finland.;Oulu Univ Hosp, MRC Oulu, Dept Obstet & Gynecol, Oulu, Finland.;Univ Oulu, Oulu, Finland..
    Kardia, Sharon L. R.
    Univ Michigan, Dept Epidemiol, Ann Arbor, MI 48109 USA..
    Keavney, Bernard
    Newcastle Univ, Inst Genet Med, Newcastle Upon Tyne, Tyne & Wear, England.;Univ Manchester, Inst Cardiovasc Sci, Manchester, Lancs, England..
    Kolcic, Ivana
    Univ Split, Fac Med, Dept Publ Hlth, Split, Croatia..
    Koponen, Paivikki
    Natl Inst Hlth & Welf, Hlth Monitoring Unit, Helsinki, Finland..
    Kovacs, Peter
    Univ Leipzig, IFB Adipos Dis, Leipzig, Germany..
    Kronenberg, Florian
    Med Univ Innsbruck, Div Genet Epidemiol, Innsbruck, Austria..
    Kutalik, Zoltan
    Swiss Inst Bioinformat, Lausanne, Switzerland.;Lausanne Univ Hosp CHUV, Inst Social & Prevent Med, Lausanne, Switzerland..
    La Bianca, Martina
    IRCCS Burlo Garofolo, Inst Maternal & Child Hlth, Trieste, Italy..
    Lachance, Genevieve
    Kings Coll London, Dept Twin Res & Genet Epidemiol, London, England..
    Iacono, William G.
    Univ Minnesota, Dept Psychol, Minneapolis, MN USA..
    Lai, Sandra
    Cittadella Univ Monserrato, Ist Ric Genet & Biomed, CMR, Cagliari, Italy..
    Lehtimaki, Terho
    Univ Tampere, Fimlab Labs, Dept Clin Chem, Tampere, Finland.;Univ Tampere, Sch Med, Tampere, Finland..
    Liewald, David C.
    Univ Edinburgh, Ctr Cognit Ageing & Cognit Epidemiol, Edinburgh, Midlothian, Scotland..
    Lindgren, Cecilia M.
    Univ Oxford, Nuffield Dept Med, Wellcome Trust Ctr Human Genet, Oxford, England.;Univ Oxford, Radcliffe Dept Med, Oxford Ctr Diabet Endocrinol & Metab, Oxford, England.;NIHR Oxford Biomed Res Ctr, Oxford, England.;Univ Oxford, Big Data Inst, Li Ka Shing Ctr Hlth Informat & Discovery, Oxford, England..
    Liu, Yongmei
    Wake Forest Sch Med, Div Publ Hlth Sci, Winston Salem, NC USA..
    Luben, Robert
    Univ Cambridge, Strangeways Res Lab, Cambridge, England..
    Lucht, Michael
    Natl Inst Hlth & Welf, Dept Chron Dis Prevent, Helsinki, Finland..
    Luoto, Riitta
    UKK Inst Hlth Promot, Tampere, Finland..
    Magnus, Per
    Inst Publ Hlth, Area Hlth Data & Digitalizat, Dept Genet & Bioinformat, Oslo, Norway..
    Magnusson, Patrik K. E.
    Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden..
    Martin, Nicholas G.
    QIMR Berghofer Med Res Inst, Psychiat Genet, Herston Brisbane, Qld, Australia..
    McGue, Matt
    Univ Minnesota, Dept Psychol, Minneapolis, MN USA.;Univ Southern Denmark, Inst Publ Hlth, Danish Aging Res Ctr, Odense, Denmark.;Univ Southern Denmark, Inst Publ Hlth, Danish Twin Registry, Odense, Denmark..
    McQuillan, Ruth
    Univ Edinburgh, Usher Inst Populat Hlth Sci & Informat, Ctr Global Hlth Res, Edinburgh, Midlothian, Scotland..
    Medland, Sarah E.
    QIMR Berghofer Med Res Inst, Psychiat Genet, Herston Brisbane, Qld, Australia..
    Meisinger, Christa
    Helmholtz Zentrum Munchen, German Res Ctr Environm Hlth, Inst Epidemiol 2, Neuherberg, Germany.;Cent Hosp Augsburg, MONICA KORA Myocardial Infarct Registry, Augsburg, Germany..
    Mellstrom, Dan
    Univ Gothenburg, Sahlgrenska Acad, Inst Med, Ctr Bone & Arthrit Res, Gothenburg, Sweden..
    Metspalu, Andres
    Univ Tartu, Estonian Genome Ctr, Tartu, Estonia.;Univ Tartu, Inst Mol & Cell Biol, Tartu, Estonia..
    Traglia, Michela
    San Raffaele Res Inst, Div Genet & Cell Biol, Milan, Italy..
    Milani, Lili
    Univ Tartu, Estonian Genome Ctr, Tartu, Estonia..
    Mitchell, Paul
    Univ Sydney, Dept Ophthalmol, Ctr Vis Res, Westmead, NSW, Australia.;Univ Sydney, Westmead Inst Med Res, Westmead, NSW, Australia..
    Montgomery, Grant W.
    QIMR Berghofer Med Res Inst, Genet Epidemiol, Brisbane, Qld, Australia.;Univ Queensland, Mol Biosci, Brisbane, Qld, Australia..
    Mook-Kanamori, Dennis
    Leiden Univ, Med Ctr, Dept Clin Epidemiol, Leiden, Netherlands.;Leiden Univ, Med Ctr, Dept Publ Hlth & Primary Care, Leiden, Netherlands.;King Faisal Specialist Hosp & Res Ctr, Epidemiol Sect, Dept BESC, Riyadh, Saudi Arabia..
    de Mutsert, Renee
    Leiden Univ, Med Ctr, Dept Clin Epidemiol, Leiden, Netherlands..
    Nohr, Ellen A.
    Univ Southern Denmark, Dept Clin Res, Res Unit Gynecol & Obstet, Odense, Denmark..
    Ohlsson, Claes
    Univ Gothenburg, Sahlgrenska Acad, Inst Med, Ctr Bone & Arthrit Res, Gothenburg, Sweden..
    Olsen, Porn
    Aarhus Univ, Dept Clin Epidemiol, Aarhus, Denmark..
    Ong, Ken K.
    Univ Cambridge, Inst Metab Sci, MRC Epidemiol Unit, Cambridge, England..
    Paternoster, Lavinia
    Univ Bristol, MRC Integrat Epidemiol Unit, Bristol, Avon, England..
    Pattie, Alison
    Univ Edinburgh, Dept Psychol, Edinburgh, Midlothian, Scotland..
    Penninx, Brenda W. J. H.
    Vrije Univ Amsterdam Med Ctr, Dept Psychiat, Amsterdam, Netherlands.;EMGO Inst Hlth & Care Res, Amsterdam, Netherlands..
    Perola, Markus
    Natl Inst Hlth & Welf, Dept Hlth, Helsinki, Finland.;Univ Helsinki, Inst Mol Med FIMM, Helsinki, Finland.;Univ Tartu, Estonian Genome Ctr, Tartu, Estonia..
    Peyser, Patricia A.
    Univ Michigan, Dept Epidemiol, Ann Arbor, MI 48109 USA..
    Pirastu, Mario
    CNR, UOS Sassari, Inst Genet & Biomed Res, Sassari, Italy..
    Polasek, Ozren
    Univ Split, Fac Med, Dept Publ Hlth, Split, Croatia..
    Power, Chris
    UCL Inst Child Hlth, Populat Policy & Practice, London, England..
    Kaprio, Jaakko
    Natl Inst Hlth & Welf, Dept Hlth, Helsinki, Finland.;Univ Helsinki, Inst Mol Med FIMM, Helsinki, Finland.;Univ Helsinki, Dept Publ Hlth, Helsinki, Finland..
    Raffel, Leslie J.
    Cedars Sinai Med Ctr, Med Genet Inst, Los Angeles, CA 90048 USA..
    Raikkonen, Katri
    Univ Helsinki, Inst Behav Sci, Helsinki, Finland..
    Raitakari, Olli
    Univ Turku, Res Ctr Appl & Prevent Cardiovasc Med, Turku, Finland.;Turku Univ Hosp, Dept Clin Physiol & Nucl Med, Turku, Finland..
    Ridker, Paul M.
    Brigham & Womens Hosp, 75 Francis St, Boston, MA 02115 USA.;Harvard Med Sch, Boston, MA USA..
    Ring, Susan M.
    Univ Bristol, MRC Integrat Epidemiol Unit, Bristol, Avon, England..
    Roll, Kathryn
    Harbor UCLA Med Ctr, Los Angeles Biomed Res Inst, Inst Translat Genom & Populat Sci, Torrance, CA 90509 USA..
    Rudan, Igor
    Univ Edinburgh, Usher Inst Populat Hlth Sci & Informat, Ctr Global Hlth Res, Edinburgh, Midlothian, Scotland..
    Ruggiero, Daniela
    CNR, Inst Genet & Biophys A Buzzati Traverso, Naples, Italy..
    Rujescu, Dan
    Martin Luther Univ Halle Wittenberg, Dept Psychiat, Halle, Saale, Germany..
    Salomaa, Veikko
    Natl Inst Hlth & Welf, Dept Hlth, Helsinki, Finland..
    Schlessinger, David
    NIA, Lab Genet, Baltimore, MD 21224 USA..
    Schmidt, Helena
    Med Univ Graz, Ctr Mol Med, Inst Mol Biol & Biochem, Graz, Austria..
    Schmidt, Reinhold
    Med Univ Graz, Clin Div Neurogeriatr, Dept Neurol, Graz, Austria..
    Schupf, Nicole
    Columbia Univ, Med Ctr, Dept Epidemiol, New York, NY USA.;Columbia Univ, Dept Psychiat, Med Ctr, New York, NY USA..
    Smit, Johannes
    Vrije Univ Amsterdam Med Ctr, Dept Psychiat, Amsterdam, Netherlands.;EMGO Inst Hlth & Care Res, Amsterdam, Netherlands..
    Sorice, Rossella
    CNR, Inst Genet & Biophys A Buzzati Traverso, Naples, Italy.;IRCCS Neuromed, Pozzilli, Isernia, Italy..
    Spector, Tim D.
    Kings Coll London, Dept Twin Res & Genet Epidemiol, London, England..
    Starr, John M.
    Univ Edinburgh, Ctr Cognit Ageing & Cognit Epidemiol, Edinburgh, Midlothian, Scotland.;Univ Edinburgh, Alzheimer Scotland Dementia Res Ctr, Edinburgh, Midlothian, Scotland..
    Stockl, Doris
    Columbia Univ, Med Ctr, Dept Epidemiol, New York, NY USA.;Columbia Univ, Dept Psychiat, Med Ctr, New York, NY USA..
    Strauch, Konstantin
    Helmholtz Zentrum Munchen, German Res Ctr Environm Hlth, Inst Genet Epidemiol, Neuherberg, Germany.;Ludwig Maximilians Univ Munchen, Chair Genet Epidemiol, Inst Med Informat Biometry & Epidemiol, Munich, Germany..
    Stumvoll, Michael
    Univ Leipzig, Dept Med, Leipzig, Germany.;Univ Leipzig, IFB Adipos Dis, Leipzig, Germany..
    Swertz, Morris A.
    Univ Groningen, Univ Med Ctr Groningen, Dept Genet, Genom Coordinat Ctr, Groningen, Netherlands..
    Thorsteinsdottir, Unnur
    Amgen Inc, deCODE Genet, Reykjavik, Iceland.;Univ Iceland, Fac Med, Reykjavik, Iceland..
    Thurik, A. Roy
    Erasmus Sch Econ, Dept Appl Econ, Rotterdam, Netherlands.;Erasmus Univ, Inst Behav & Biol, Rotterdam, Netherlands.;Montpellier Business Sch, Montpellier, France..
    Timpson, Nicholas J.
    Univ Bristol, MRC Integrat Epidemiol Unit, Bristol, Avon, England..
    Tung, Joyce Y.
    23andMe Inc, Mountain View, CA USA..
    Uitterlinden, Andre G.
    Erasmus Sch Econ, Dept Appl Econ, Rotterdam, Netherlands.;Erasmus Univ, Inst Behav & Biol, Rotterdam, Netherlands.;Erasmus MC, Dept Internal Med, Rotterdam, Netherlands..
    Vaccargiu, Simona
    CNR, UOS Sassari, Inst Genet & Biomed Res, Sassari, Italy..
    Viikari, Jorma
    Univ Turku, Dept Med, Turku, Finland.;Turku Univ Hosp, Div Med, Turku, Finland..
    Vitart, Veronique
    Univ Edinburgh, MRC Human Genet Unit, MRC Inst Genet & Mol Med, Edinburgh, Midlothian, Scotland..
    Voelzke, Henry
    Univ Med Greifswald, Inst Community Med, Greifswald, Germany..
    Vollenweider, Peter
    Lausanne Univ Hosp CHUV, Dept Internal Med, Lausanne, Switzerland..
    Vuckovic, Dragana
    Univ Trieste, Dept Med Surg & Hlth Sci, Trieste, Italy.;Sidra, Div Expt Genet, Doha, Qatar..
    Waage, Johannes
    Univ Copenhagen, Herlev & Gentofte Hosp, Copenhagen Prospect Studies Asthma Childhood, COPSAC, Copenhagen, Denmark..
    Wagner, Gert G.
    Max Planck Inst Human Dev, German Socioecon Panel Study SOEP, Berlin, Germany.;Berlin Univ Technol TUB, Berlin, Germany..
    Wang, Jie Jin
    Univ Sydney, Dept Ophthalmol, Ctr Vis Res, Westmead, NSW, Australia.;Univ Sydney, Westmead Inst Med Res, Westmead, NSW, Australia..
    Wareham, Nicholas J.
    Univ Cambridge, Inst Metab Sci, MRC Epidemiol Unit, Cambridge, England..
    Weir, David R.
    Univ Michigan, Inst Social Res, Survey Res Ctr, Ann Arbor, MI USA..
    Willemsen, Gonneke
    Vrije Univ Amsterdam, Dept Biol Psychol, Amsterdam, Netherlands.;EMGO Inst Hlth & Care Res, Amsterdam, Netherlands..
    Willeit, Johann
    Med Univ Innsbruck, Dept Neurol, Innsbruck, Austria..
    Wright, Alan F.
    Univ Edinburgh, MRC Human Genet Unit, MRC Inst Genet & Mol Med, Edinburgh, Midlothian, Scotland..
    Zondervan, Krina T.
    Univ Oxford, Wellcome Trust Ctr Human Genet, Genet & Genom Epidemiol Unit, Oxford, England.;Univ Oxford, Nuffield Dept Obstet & Gynaecol, Endometriosis CaRe Ctr, Oxford, England..
    Stefansson, Kari
    Amgen Inc, deCODE Genet, Reykjavik, Iceland.;Univ Iceland, Fac Med, Reykjavik, Iceland..
    Krueger, Robert F.
    Univ Minnesota, Dept Psychol, Minneapolis, MN USA..
    Lee, James J.
    Univ Minnesota, Dept Psychol, Minneapolis, MN USA..
    Benjamin, Daniel J.
    Univ Southern Calif, Ctr Econ & Social Res, Los Angeles, CA USA.;Natl Bur Econ Res, Cambridge, MA 02138 USA..
    Cesarini, David
    NYU, Dept Econ, New York, NY 10003 USA.;Res Inst Ind Econ, Stockholm, Sweden..
    Koellinger, Philipp D.
    Erasmus Sch Econ, Dept Appl Econ, Rotterdam, Netherlands.;Erasmus Univ, Inst Behav & Biol, Rotterdam, Netherlands.;Vrije Univ Amsterdam, Complex Trait Genet, Amsterdam, Netherlands..
    den Hoed, M
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Snieder, Harold
    Univ Groningen, Univ Med Ctr Groningen, Dept Epidemiol, Groningen, Netherlands..
    Mills, Melinda C.
    Univ Oxford, Dept Sociol, Oxford, England.;Univ Oxford, Nuffield Coll, Oxford, England..
    Genome-wide analysis identifies 12 loci influencing human reproductive behavior2016In: Nature Genetics, ISSN 1061-4036, E-ISSN 1546-1718, Vol. 48, no 12, p. 1462-1472Article in journal (Refereed)
    Abstract [en]

    The genetic architecture of human reproductive behavior age at first birth (AFB) and number of children ever born (NEB) has a strong relationship with fitness, human development, infertility and risk of neuropsychiatric disorders. However, very few genetic loci have been identified, and the underlying mechanisms of AFB and NEB are poorly understood. We report a large genome-wide association study of both sexes including 251,151 individuals for AFB and 343,072 individuals for NEB. We identified 12 independent loci that are significantly associated with AFB and/or NEB in a SNP-based genome-wide association study and 4 additional loci associated in a gene-based effort. These loci harbor genes that are likely to have a role, either directly or by affecting non-local gene expression, in human reproduction and infertility, thereby increasing understanding of these complex traits.

  • 20.
    Benedict, Christian
    et al.
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Neuroscience, Functional Pharmacology.
    Axelsson, Tomas
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular Medicine.
    Söderberg, Stefan
    Larsson, Anders
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Biochemial structure and function.
    Ingelsson, Erik
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Lind, Lars
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cardiovascular epidemiology.
    Schiöth, Helgi B
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Neuroscience, Functional Pharmacology.
    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 adults2014In: Diabetes, ISSN 0012-1797, E-ISSN 1939-327X, Vol. 63, no 11, p. 3955-3959Article in journal (Refereed)
    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. Bjorkegren, Johan L. M.
    et al.
    Hägg, Sara
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Talukdar, Husain A.
    Asl, Hassan Foroughi
    Jain, Rajeev K.
    Cedergren, Cecilia
    Shang, Ming-Mei
    Rossignoli, Aranzazu
    Takolander, Rabbe
    Melander, Olle
    Hamsten, Anders
    Michoel, Tom
    Skogsberg, Josefin
    Plasma Cholesterol-Induced Lesion Networks Activated before Regression of Early, Mature, and Advanced Atherosclerosis2014In: PLOS Genetics, ISSN 1553-7390, E-ISSN 1553-7404, Vol. 10, no 2, p. e100420-Article in journal (Refereed)
    Abstract [en]

    Plasma cholesterol lowering (PCL) slows and sometimes prevents progression of atherosclerosis and may even lead to regression. Little is known about how molecular processes in the atherosclerotic arterial wall respond to PCL and modify responses to atherosclerosis regression. We studied atherosclerosis regression and global gene expression responses to PCL (>= 80%) and to atherosclerosis regression itself in early, mature, and advanced lesions. In atherosclerotic aortic wall from Ldlr(-/-)Apob(100/100)Mttp(flox/flox)Mx1-Cre mice, atherosclerosis regressed after PCL regardless of lesion stage. However, near-complete regression was observed only in mice with early lesions; mice with mature and advanced lesions were left with regression-resistant, relatively unstable plaque remnants. Atherosclerosis genes responding to PCL before regression, unlike those responding to the regression itself, were enriched in inherited risk for coronary artery disease and myocardial infarction, indicating causality. Inference of transcription factor (TF) regulatory networks of these PCL-responsive gene sets revealed largely different networks in early, mature, and advanced lesions. In early lesions, PPARG was identified as a specific master regulator of the PCL-responsive atherosclerosis TF-regulatory network, whereas in mature and advanced lesions, the specific master regulators were MLL5 and SRSF10/XRN2, respectively. In a THP-1 foam cell model of atherosclerosis regression, siRNA targeting of these master regulators activated the time-point-specific TF-regulatory networks and altered the accumulation of cholesterol esters. We conclude that PCL leads to complete atherosclerosis regression only in mice with early lesions. Identified master regulators and related PCL-responsive TF-regulatory networks will be interesting targets to enhance PCL-mediated regression of mature and advanced atherosclerotic lesions. Author Summary The main underlying cause of heart attacks and strokes is atherosclerosis. One strategy to prevent these often deadly clinical events is therefore either to slow atherosclerosis progression or better, induce regression of atherosclerotic plaques making them more stable. Plasma cholesterol lowering (PCL) is the most efficient way to induce atherosclerosis regression but sometimes fails to do so. In our study, we used a mouse model with elevated LDL cholesterol levels, similar to humans who develop early atherosclerosis, and a genetic switch to lower plasma cholesterol at any time during atherosclerosis progression. In this model, we examined atherosclerosis gene expression and regression in response to PCL at three different stages of atherosclerosis progression. PCL led to complete regression in mice with early lesions but was incomplete in mice with mature and advanced lesions, indicating that early prevention with PCL in individuals with increased risk for heart attack or stroke would be particularly useful. In addition, by inferring PCL-responsive gene networks in early, mature and advanced atherosclerotic lesions, we identified key drivers specific for regression of early (PPARG), mature (MLL5) and advanced (SRSF10/XRN2) atherosclerosis. These key drivers should be interesting therapeutic targets to enhance PCL-mediated regression of atherosclerosis.

  • 22.
    Burgess, Stephen
    et al.
    Univ Cambridge, Dept Publ Hlth & Primary Care, Cardiovasc Epidemiol Unit, Cambridge, England..
    Bowden, Jack
    Univ Bristol, Sch Social & Community Med, Med Res Council, Integrat Epidemiol Unit, Bristol, Avon, England..
    Fall, Tove
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology.
    Ingelsson, Erik
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology.
    Thompson, Simon G.
    Univ Cambridge, Dept Publ Hlth & Primary Care, Cardiovasc Epidemiol Unit, Cambridge, England..
    Sensitivity Analyses for Robust Causal Inference from Mendelian Randomization Analyses with Multiple Genetic Variants2017In: Epidemiology, ISSN 1044-3983, E-ISSN 1531-5487, Vol. 28, no 1, p. 30-42Article, review/survey (Refereed)
    Abstract [en]

    Mendelian randomization investigations are becoming more powerful and simpler to perform, due to the increasing size and coverage of genome-wide association studies and the increasing availability of summarized data on genetic associations with risk factors and disease outcomes. However, when using multiple genetic variants from different gene regions in a Mendelian randomization analysis, it is highly implausible that all the genetic variants satisfy the instrumental variable assumptions. This means that a simple instrumental variable analysis alone should not be relied on to give a causal conclusion. In this article, we discuss a range of sensitivity analyses that will either support or question the validity of causal inference from a Mendelian randomization analysis with multiple genetic variants. We focus on sensitivity analyses of greatest practical relevance for ensuring robust causal inferences, and those that can be undertaken using summarized data. Aside from cases in which the justification of the instrumental variable assumptions is supported by strong biological understanding, a Mendelian randomization analysis in which no assessment of the robustness of the findings to violations of the instrumental variable assumptions has been made should be viewed as speculative and incomplete. In particular, Mendelian randomization investigations with large numbers of genetic variants without such sensitivity analyses should be treated with skepticism.

  • 23.
    Campbell, William
    et al.
    Emory Univ, Rollins Sch Publ Hlth, Dept Epidemiol, Atlanta, GA 30322 USA..
    Ganna, Andrea
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology. Karolinska Inst, Dept Med Epidemiol & Biostat, SE-17177 Stockholm, Swedden..
    Ingelsson, Erik
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology.
    Janssens, A. Cecile J. W.
    Emory Univ, Rollins Sch Publ Hlth, Dept Epidemiol, Atlanta, GA 30322 USA.;Vrije Univ Amsterdam Med Ctr, EMGO Inst Hlth & Care Res, Sect Community Genet, Dept Clin Genet, NL-1007 MB Amsterdam, Netherlands..
    Prediction impact curve is a new measure integrating intervention effects in the evaluation of risk models2016In: Journal of Clinical Epidemiology, ISSN 0895-4356, E-ISSN 1878-5921, Vol. 69, p. 89-95Article in journal (Refereed)
    Abstract [en]

    Objective: We propose a new measure of assessing the performance of risk models, the area under the prediction impact curve (auPIC), which quantifies the performance of risk models in terms of their average health impact in the population. Study Design and Setting: Using simulated data, we explain how the prediction impact curve (PIC) estimates the percentage of events prevented when a risk model is used to assign high-risk individuals to an intervention. We apply the PIC to the Atherosclerosis Risk in Communities (ARIC) Study to illustrate its application toward prevention of coronary heart disease. Results: We estimated that if the ARIC cohort received statins at baseline, 5% of events would be prevented when the risk model was evaluated at a cutoff threshold of 20% predicted risk compared to 1% when individuals were assigned to the intervention without the use of a model. By calculating the auPIC, we estimated that an average of 15% of events would be prevented when considering performance across the entire interval. Conclusion: We conclude that the PIC is a clinically meaningful measure for quantifying the expected health impact of risk models that supplements existing measures of model performance.

  • 24.
    Carlsson, Axel C
    et al.
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology.
    Calamia, Michael
    Risérus, Ulf
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism.
    Larsson, Anders
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Biochemial structure and function.
    Helmersson-Karlqvist, Johanna
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Biochemial structure and function.
    Lind, Lars
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cardiovascular epidemiology.
    Ärnlöv, Johan
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology.
    Kidney injury molecule (KIM)-1 is associated with insulin resistance: Results from two community-based studies of elderly individuals2014In: Diabetes Research and Clinical Practice, ISSN 0168-8227, E-ISSN 1872-8227, Vol. 103, no 3, p. 516-521Article in journal (Refereed)
    Abstract [en]

    BACKGROUND AND OBJECTIVES: Insulin resistance has been shown to be closely associated with glomerular filtration rate and urinary albumin/creatinine ratio, even prior to the development of diabetes. Urinary kidney injury molecule 1 (KIM-1) is a novel, highly specific marker of kidney tubular damage. The role of insulin resistance in the development of kidney tubular damage is not previously reported. Thus, we aimed to investigate the associations between insulin sensitivity (assessed by HOMA) and urinary KIM-1.

    DESIGN, SETTING, PARTICIPANTS AND MEASUREMENTS: Two community-based cohorts of elderly individuals were investigated: Prospective Investigation of the vasculature in Uppsala seniors (PIVUS, n=701; mean age 75 years, 52% women); and Uppsala Longitudinal Study of adult men (ULSAM, n=533; mean age 78 years).

    RESULTS: Lower insulin sensitivity was associated with higher urinary KIM-1 in both cohorts after adjustments for age, BMI, blood pressure, antihypertensive treatment, glomerular filtration rate, and urinary albumin-creatinine ratio (PIVUS: regression coefficient for 1-SD higher HOMA-IR 0.11, 95% CI 0.03-0.20, p=0.009, and ULSAM: 0.13, 95% CI 0.04-0.22, p=0.007). Results were similar in individuals without diabetes, with normal kidney function and normo-albuminuria.

    CONCLUSIONS: Our findings in elderly individuals support the notion that the interplay between an impaired glucose metabolism and renal tubular damage is evident even prior to the development of diabetes and overt kidney disease.

  • 25.
    Carlsson, Axel C
    et al.
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cardiovascular epidemiology.
    Ingelsson, Erik
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology. Uppsala University, Science for Life Laboratory, SciLifeLab. Stanford Univ, Dept Med, Div Cardiovasc Med, Sch Med, Stanford, CA 94305 USA.
    Sundström, Johan
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm, UCR-Uppsala Clinical Research Center. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cardiology.
    Carrero, Juan Jesus
    Gustafsson, Stefan
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology.
    Feldreich, Tobias
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cardiovascular epidemiology.
    Stenemo, Markus
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology.
    Larsson, Anders
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences.
    Lind, Lars
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cardiovascular epidemiology.
    Ärnlöv, Johan
    Use of Proteomics To Investigate Kidney Function Decline over 5 Years2017In: American Society of Nephrology. Clinical Journal, ISSN 1555-9041, E-ISSN 1555-905X, Vol. 12, no 8, p. 1226-1235Article in journal (Refereed)
    Abstract [en]

    BACKGROUND AND OBJECTIVES: Using a discovery/replication approach, we investigated associations between a multiplex panel of 80 circulating proteins associated with cardiovascular pathology or inflammation, and eGFR decline per year and CKD incidence.

    DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: We used two cohorts, the Prospective Investigation of the Vasculature in Uppsala Seniors Study (PIVUS; n=687, mean age of 70 years, 51% women) and the Uppsala Longitudinal Study of Adult Men (ULSAM; n=360 men, mean age of 78 years), with 5-year follow-up data on eGFR. There were 231 and 206 incident cases of CKD during follow-up in the PIVUS and ULSAM studies, respectively. Proteomic profiling of 80 proteins was assessed by a multiplex assay (proximity extension assay). The assay uses two antibodies for each protein and a PCR step to achieve a high-specific binding and the possibility to measure multiple proteins in parallel, but gives no absolute concentrations.

    RESULTS: In the discovery cohort from the PIVUS Study, 28 plasma proteins were significantly associated with eGFR decline per year, taking into account the multiple testing. Twenty of these proteins were significantly associated with eGFR decline per year in the replication cohort from the ULSAM Study after adjustment for age, sex, cardiovascular risk factors, medications, and urinary albumin-to-creatinine ratio (in order of significance: TNF-related apoptosis-inducing ligand receptor 2*, CD40L receptor, TNF receptor 1*, placenta growth factor*, thrombomodulin*, urokinase plasminogen activator surface receptor*, growth/differentiation factor 15*, macrophage colony-stimulating factor 1, fatty acid-binding protein*, cathepsin D, resistin, kallikrein 11*, C-C motif chemokine 3, proteinase-activated receptor 1*, cathepsin L, chitinase 3-like protein 1, TNF receptor 2*, fibroblast growth factor 23*, monocyte chemotactic protein 1, and kallikrein 6). Moreover, 11 of the proteins predicted CKD incidence (marked with * above). No protein consistently predicted eGFR decline per year independently of baseline eGFR in both cohorts.

    CONCLUSIONS: Several circulating proteins involved in phosphate homeostasis, inflammation, apoptosis, extracellular matrix remodeling, angiogenesis, and endothelial dysfunction were associated with worsening kidney function. Multiplex proteomics appears to be a promising way of discovering novel aspects of kidney disease pathology.

  • 26.
    Carlsson, Axel C
    et al.
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Juhlin, C Christofer
    Larsson, Tobias E
    Larsson, Anders
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Biochemial structure and function.
    Ingelsson, Erik
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Sundström, Johan
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cardiology.
    Lind, Lars
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cardiovascular epidemiology.
    Ärnlöv, Johan
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Soluble tumor necrosis factor receptor 1 (sTNFR1) is associated with increased total mortality due to cancer and cardiovascular causes: Findings from two community based cohorts of elderly2014In: Atherosclerosis, ISSN 0021-9150, E-ISSN 1879-1484, Vol. 237, no 1, p. 236-242Article in journal (Refereed)
    Abstract [en]

    BACKGROUND: Experimental evidence support soluble receptors for tumor necrosis factor alpha as important mediators of the underlying pathology leading to cardiovascular disease and cancer. However, prospective data concerning the relation between circulating soluble tumor necrosis factor receptor-1 (sTNFR1) and mortality in humans are lacking. We aimed to explore and validate the association between sTNFR1 and mortality, and to explore the influence of other established risk factors for mortality, including other inflammatory markers.

    METHODS: The association between serum sTNFR1and the risk for mortality was investigated in two community-based cohorts of elderly: the Prospective Investigation of the Vasculature in Uppsala Seniors (PIVUS; women 50%, n = 1005, mean age 70 years, median follow-up 7.9 years) and the Uppsala Longitudinal Study of Adult Men (ULSAM, n = 775, mean age 77 years, median follow-up 8.1 years).

    RESULTS: In total, 101 participants in PIVUS and 274 in ULSAM died during follow-up. In multivariable Cox regression models adjusted for inflammation, lifestyle and established cardiovascular risk factors, one standard deviation (SD) higher sTNFR1 was associated with a hazard ratio (HR) for mortality of 1.37, 95% confidence interval (CI) 1.17-1.60, in PIVUS and HR 1.22, 95% CI 1.10-1.37 in ULSAM. Moreover, circulatingsTNFR1 was associated with cardiovascular mortality (HR per SD of sTNFR1, 1.24, 95% CI 1.07-1.44) and cancer mortality (HR per SD of sTNFR1, 1.32, 95% CI 1.11-1.57) in the ULSAM cohort. High levels of sTNFR1 identified individuals with increased risk of mortality among those with high as well as low levels of systemic inflammation.

    CONCLUSIONS: An association between circulating sTNFR1 and an increased risk for mortality was found and validated in two independent community-based cohorts. The future clinical role of sTNFR1 to identify high risk patients for adverse outcomes and mortality has yet to be determined.

  • 27.
    Carlsson, Axel C
    et al.
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Larsson, Anders
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Biochemial structure and function.
    Helmersson-Karlqvist, Johanna
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Biochemial structure and function.
    Lind, Lars
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cardiovascular epidemiology.
    Ingelsson, Erik
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Larsson, Tobias E
    Bottai, Matteo
    Sundström, Johan
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Ärnlöv, Johan
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Urinary Kidney Injury Molecule-1 and the Risk of Cardiovascular Mortality in Elderly Men2014In: Clinical journal of the American Society of Nephrology : CJASN, ISSN 1555-905X, Vol. 9, no 8, p. 1393-1401Article in journal (Refereed)
    Abstract [en]

    Background and objectives

    Kidney injury molecule-1 (KIM-1) has been suggested as a clinically relevant highly specific biomarker of acute kidney tubular damage. However, community-based data on the association between urinary levels of KIM-1 and the risk for cardiovascular mortality are lacking. This study aimed to investigate the association between urinary KIM-1 and cardiovascular mortality.

    Design, setting, participants, & measurements

    This was a prospective study, using the community-based Uppsala Longitudinal Study of Adult Men (N=590; mean age 77 years; baseline period, 1997–2001; median follow-up 8.1 years; end of follow-up, 2008).

    Results

    During follow-up, 89 participants died of cardiovascular causes (incidence rate, 2.07 per 100 person-years at risk). Models were adjusted for cardiovascular risk factors (age, systolic BP, diabetes, smoking, body mass index, total cholesterol, HDL cholesterol, antihypertensive treatment, lipid-lowering treatment, aspirin treatment, and history of cardiovascular disease) and for markers of kidney dysfunction and damage (cystatin C–based eGFR and urinary albumin/creatinine ratio). Higher urinary KIM-1/creatinine (from 24-hour urine collections) was associated with a higher risk for cardiovascular mortality (hazard ratio per SD increase, 1.27; 95% confidence interval [95% CI], 1.05 to 1.54; P=0.01). Participants with a combination of high KIM-1/creatinine (upper quintile, ≥175 ng/mmol), low eGFR (≤60 ml/min per 1.73 m2), and microalbuminuria/macroalbuminuria (albumin/creatinine ratio≥3 g/mol) had a >8-fold increased risk compared with participants with low KIM-1/creatinine (<175 ng/mmol), normal eGFR (>60 ml/min per 1.73 m2), and normoalbuminuria (albumin/creatinine ratio<3 g/mol) (hazard ratio, 8.56; 95% CI, 4.17 to 17.56; P<0.001).

    Conclusions

    These findings suggest that higher urinary KIM-1 may predispose to a higher risk of cardiovascular mortality independently of established cardiovascular risk factors, eGFR, and albuminuria. Additional studies are needed to further assess the utility of measuring KIM-1 in the clinical setting.

  • 28.
    Carlsson, Axel C
    et al.
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology.
    Larsson, Tobias E
    Helmersson-Karlqvist, Johanna
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Biochemial structure and function.
    Larsson, Anders
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Biochemial structure and function.
    Lind, Lars
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cardiovascular epidemiology.
    Ärnlöv, Johan
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology.
    Soluble TNF Receptors and Kidney Dysfunction in the Elderly2014In: Journal of the American Society of Nephrology, ISSN 1046-6673, E-ISSN 1533-3450, Vol. 25, no 6, p. 1313-1320Article in journal (Refereed)
    Abstract [en]

    The importance of TNF-α and its soluble receptors (sTNFR1 and sTNFR2) in the development of kidney disea