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Genetic meta-analysis of diagnosed Alzheimer's disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Public Health and Caring Sciences, Geriatrics.ORCID iD: 0000-0003-3423-2021
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, Faculty of Medicine, Department of Public Health and Caring Sciences, Geriatrics.
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Number of Authors: 4682019 (English)In: Nature Genetics, ISSN 1061-4036, E-ISSN 1546-1718, Vol. 51, no 3, p. 414-430Article in journal (Refereed) Published
Abstract [en]

Risk for late-onset Alzheimer's disease (LOAD), the most prevalent dementia, is partially driven by genetics. To identify LOAD risk loci, we performed a large genome-wide association meta-analysis of clinically diagnosed LOAD (94,437 individuals). We confirm 20 previous LOAD risk loci and identify five new genome-wide loci (IQCK, ACE, ADAM10, ADAMTS1, and WWOX), two of which (ADAM10, ACE) were identified in a recent genome-wide association (GWAS)-by-familial-proxy of Alzheimer's or dementia. Fine-mapping of the human leukocyte antigen (HLA) region confirms the neurological and immune-mediated disease haplotype HLA-DR15 as a risk factor for LOAD. Pathway analysis implicates immunity, lipid metabolism, tau binding proteins, and amyloid precursor protein (APP) metabolism, showing that genetic variants affecting APP and A beta processing are associated not only with early-onset autosomal dominant Alzheimer's disease but also with LOAD. Analyses of risk genes and pathways show enrichment for rare variants (P = 1.32 x 10-7), indicating that additional rare variants remain to be identified. We also identify important genetic correlations between LOAD and traits such as family history of dementia and education.

Place, publisher, year, edition, pages
2019. Vol. 51, no 3, p. 414-430
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Medical Genetics
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URN: urn:nbn:se:uu:diva-379343DOI: 10.1038/s41588-019-0358-2ISI: 000459947200011PubMedID: 30820047OAI: oai:DiVA.org:uu-379343DiVA, id: diva2:1296556
Note

For complete list of authors see http://dx.doi.org/10.1038/s41588-019-0358-2

Available from: 2019-03-15 Created: 2019-03-15 Last updated: 2019-03-15Bibliographically approved

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Giedraitis, VilmantasKilander, LenaBrundin, RoseMarieLannfelt, LarsIngelsson, Martin

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