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Polygenic resilience scores capture protective genetic effects for Alzheimer’s disease

Authors :
Jiahui Hou
Jonathan L. Hess
Nicola Armstrong
Joshua C. Bis
Benjamin Grenier-Boley
Ida K. Karlsson
Ganna Leonenko
Katya Numbers
Eleanor K. O’Brien
Alexey Shadrin
Anbupalam Thalamuthu
Qiong Yang
Ole A. Andreassen
Henry Brodaty
Margaret Gatz
Nicole A. Kochan
Jean-Charles Lambert
Simon M. Laws
Colin L. Masters
Karen A. Mather
Nancy L. Pedersen
Danielle Posthuma
Perminder S. Sachdev
Julie Williams
the Alzheimer’s Disease Neuroimaging Initiative
Chun Chieh Fan
Stephen V. Faraone
Christine Fennema-Notestine
Shu-Ju Lin
Valentina Escott-Price
Peter Holmans
Sudha Seshadri
Ming T. Tsuang
William S. Kremen
Stephen J. Glatt
Source :
Translational Psychiatry, Vol 12, Iss 1, Pp 1-11 (2022)
Publication Year :
2022
Publisher :
Nature Publishing Group, 2022.

Abstract

Abstract 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.

Details

Language :
English
ISSN :
21583188
Volume :
12
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Translational Psychiatry
Publication Type :
Academic Journal
Accession number :
edsdoj.05a0a605763842d88fd8cbd81b52d67b
Document Type :
article
Full Text :
https://doi.org/10.1038/s41398-022-02055-0