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Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer's disease risk.

Authors :
Jansen IE
Savage JE
Watanabe K
Bryois J
Williams DM
Steinberg S
Sealock J
Karlsson IK
Hägg S
Athanasiu L
Voyle N
Proitsi P
Witoelar A
Stringer S
Aarsland D
Almdahl IS
Andersen F
Bergh S
Bettella F
Bjornsson S
Brækhus A
Bråthen G
de Leeuw C
Desikan RS
Djurovic S
Dumitrescu L
Fladby T
Hohman TJ
Jonsson PV
Kiddle SJ
Rongve A
Saltvedt I
Sando SB
Selbæk G
Shoai M
Skene NG
Snaedal J
Stordal E
Ulstein ID
Wang Y
White LR
Hardy J
Hjerling-Leffler J
Sullivan PF
van der Flier WM
Dobson R
Davis LK
Stefansson H
Stefansson K
Pedersen NL
Ripke S
Andreassen OA
Posthuma D
Source :
Nature genetics [Nat Genet] 2019 Mar; Vol. 51 (3), pp. 404-413. Date of Electronic Publication: 2019 Jan 07.
Publication Year :
2019

Abstract

Alzheimer's disease (AD) is highly heritable and recent studies have identified over 20 disease-associated genomic loci. Yet these only explain a small proportion of the genetic variance, indicating that undiscovered loci remain. Here, we performed a large genome-wide association study of clinically diagnosed AD and AD-by-proxy (71,880 cases, 383,378 controls). AD-by-proxy, based on parental diagnoses, showed strong genetic correlation with AD (r <subscript>g</subscript>  = 0.81). Meta-analysis identified 29 risk loci, implicating 215 potential causative genes. Associated genes are strongly expressed in immune-related tissues and cell types (spleen, liver, and microglia). Gene-set analyses indicate biological mechanisms involved in lipid-related processes and degradation of amyloid precursor proteins. We show strong genetic correlations with multiple health-related outcomes, and Mendelian randomization results suggest a protective effect of cognitive ability on AD risk. These results are a step forward in identifying the genetic factors that contribute to AD risk and add novel insights into the neurobiology of AD.

Details

Language :
English
ISSN :
1546-1718
Volume :
51
Issue :
3
Database :
MEDLINE
Journal :
Nature genetics
Publication Type :
Academic Journal
Accession number :
30617256
Full Text :
https://doi.org/10.1038/s41588-018-0311-9