Polygenic resilience scores capture protective genetic effects for Alzheimers disease
Jiahui HouiD, Jonathan HessiD, Nicola J. ArmstrongiD, Joshua C. BisiD, Benjamin Grenier‐BoleyiD, Ida KarlssoniD, Ganna LeonenkoiD, Katya T. NumbersiD, Eleanor K. O’BrieniD, Alexey A. ShadriniD, Anbupalam ThalamuthuiD, Qiong YangiD, Ole A. AndreasseniD, Henry BrodatyiD, Margaret GatziD, Nicole A. KochaniD, Jean‐Charles LambertiD, Simon Matthew LawsiD, Colin Louis MastersiD, Karen A. MatheriD, Nancy L. PederseniD, Daniëlle PosthumaiD, Perminder Singh SachdeviD, Julie H. WilliamsiD, the Alzheimer’s Disease Neuroimaging Initiative, , Stephen J. GlattiD
Abstract
Polygenic risk scores (PRSs) can boost risk-prediction in late-onset Alzheimers 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-{varepsilon}4 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.
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