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GWAS Study

Polygenic resilience scores capture protective genetic effects for Alzheimer's disease.

Hou J, Hess JL, Armstrong N et al.

35879306 PubMed ID
GWAS Study Type
13572 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

HJ
Hou J
HJ
Hess JL
AN
Armstrong N
BJ
Bis JC
GB
Grenier-Boley B
KI
Karlsson IK
LG
Leonenko G
NK
Numbers K
OE
O'Brien EK
SA
Shadrin A
TA
Thalamuthu A
YQ
Yang Q
AO
Andreassen OA
BH
Brodaty H
GM
Gatz M
KN
Kochan NA
LJ
Lambert JC
LS
Laws SM
MC
Masters CL
MK
Mather KA
PN
Pedersen NL
PD
Posthuma D
SP
Sachdev PS
WJ
Williams J
FC
Fan CC
FS
Faraone SV
FC
Fennema-Notestine C
LS
Lin SJ
EV
Escott-Price V
HP
Holmans P
SS
Seshadri S
TM
Tsuang MT
KW
Kremen WS
GS
Glatt SJ
Chapter II

Abstract

Summary of the research findings

Polygenic risk scores (PRSs) can boost risk prediction in late-onset Alzheimer's disease (LOAD) beyond apolipoprotein E (APOE) but have not been leveraged to identify genetic resilience factors. Here, we sought to identify resilience-conferring common genetic variants in (1) unaffected individuals having high PRSs for LOAD, and (2) unaffected APOE-ε4 carriers also having high PRSs for LOAD. We used genome-wide association study (GWAS) to contrast "resilient" unaffected individuals at the highest genetic risk for LOAD with LOAD cases at comparable risk. From GWAS results, we constructed polygenic resilience scores to aggregate the addictive contributions of risk-orthogonal common variants that promote resilience to LOAD. Replication of resilience scores was undertaken in eight independent studies. We successfully replicated two polygenic resilience scores that reduce genetic risk penetrance for LOAD. We also showed that polygenic resilience scores positively correlate with polygenic risk scores in unaffected individuals, perhaps aiding in staving off disease. Our findings align with the hypothesis that a combination of risk-independent common variants mediates resilience to LOAD by moderating genetic disease risk.

11,309 European ancestry cases, 2,263 European ancestry controls

Chapter III

Study Statistics

Key metrics and study information

13572
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
Chapter IV

Analysis

Comprehensive review of health and genetic findings

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