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

0301 basic medicine Aging Multifactorial Inheritance [SDV]Life Sciences [q-bio] 5202 Biological Psychology Apolipoprotein E4 32 Biomedical and Clinical Sciences Diseases Neurodegenerative Alzheimer's Disease anzsrc-for: 1103 Clinical Sciences Long-term memory Risk Factors Medicine and Health Sciences 2.1 Biological and endogenous factors Psychology Aetiology 3202 Clinical Sciences 0303 health sciences 52 Psychology Public Health and Health Services anzsrc-for: 3209 Neurosciences anzsrc-for: 3202 Clinical Sciences anzsrc-for: 5202 Biological Psychology anzsrc-for: 1117 Public Health and Health Services RC321-571 Clinical Sciences 610 Neurosciences. Biological psychiatry. Neuropsychiatry Article anzsrc-for: 52 Psychology 03 medical and health sciences anzsrc-for: 32 Biomedical and Clinical Sciences Apolipoproteins E SDG 3 - Good Health and Well-being Alzheimer Disease Genetics Acquired Cognitive Impairment Humans Genetic Predisposition to Disease Clinical genetics Genetic Testing Comparative genomics Prevention Human Genome Neurosciences Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) anzsrc-for: 1701 Psychology Alzheimer’s Disease Neuroimaging Initiative Brain Disorders 3209 Neurosciences Dementia Genome-Wide Association Study
DOI: 10.1038/s41398-022-02055-0 Publication Date: 2022-07-25T13:03:29Z
ABSTRACT
AbstractPolygenic 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.
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