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
AUTHORS (35)
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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