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

Authors :
Hou, Jiahui
Hess, Jonathan L.
Armstrong, Nicola
Bis, Joshua C.
Grenier-Boley, Benjamin
Karlsson, Ida K.
Leonenko, Ganna
Numbers, Katya
O’Brien, Eleanor K.
Shadrin, Alexey
Thalamuthu, Anbupalam
Yang, Qiong
Andreassen, Ole A.
Brodaty, Henry
Gatz, Margaret
Kochan, Nicole A.
Lambert, Jean-Charles
Laws, Simon M.
Masters, Colin L.
Mather, Karen A.
Pedersen, Nancy L.
Posthuma, Danielle
Sachdev, Perminder S.
Williams, Julie
Fan, Chun Chieh
Faraone, Stephen V.
Fennema-Notestine, Christine
Lin, Shu-Ju
Escott-Price, Valentina
Holmans, Peter
Seshadri, Sudha
Tsuang, Ming T.
Kremen, William S.
Glatt, Stephen J.
Human genetics
Amsterdam Neuroscience - Complex Trait Genetics
Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention
Complex Trait Genetics
Source :
Transl Psychiatry, the Alzheimer’s Disease Neuroimaging Initiative 2022, ' Polygenic resilience scores capture protective genetic effects for Alzheimer’s disease ', Translational psychiatry, vol. 12, no. 1, 296 . https://doi.org/10.1038/s41398-022-02055-0, Translational psychiatry, 12(1):296, the Alzheimer’s Disease Neuroimaging Initiative 2022, ' Polygenic resilience scores capture protective genetic effects for Alzheimer’s disease ', Translational Psychiatry, vol. 12, 296, pp. 1-11 . https://doi.org/10.1038/s41398-022-02055-0, Translational Psychiatry, 12:296, 1-11. Nature Publishing Group
Publication Year :
2022

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

ISSN :
21583188
Database :
OpenAIRE
Journal :
Transl Psychiatry
Accession number :
edsair.doi.dedup.....19883a630fb615d555115660421dda16
Full Text :
https://doi.org/10.1038/s41398-022-02055-0