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Genetic and molecular factors underlying human longevity and epigenetic aging
Kai Gai1, Wenjian Li1, Junpeng Li1
1Institute of Rare Diseases, West China Hospital of Sichuan University, Chengdu, China.
Npj Aging
|April 16, 2026
Summary
This study identifies cholesterol, immune cell traits, and IGF1 as longevity risk factors. It uncovers key genes, proteins, and metabolites linking genetic variants to aging and longevity, revealing potential therapeutic targets.
Area of Science:
- Genetics and Aging Research
- Molecular Biology
- Systems Biology
Background:
- Biological aging involves declining function and increased disease risk, with poorly understood factors and mechanisms.
- Epigenetic aging acceleration and human longevity are complex processes requiring further investigation.
Purpose of the Study:
- To identify risk factors and molecular phenotypes associated with epigenetic aging acceleration and human longevity.
- To elucidate the molecular mechanisms linking genetic variants to aging and longevity.
- To discover potential therapeutic targets for aging-related diseases.
Main Methods:
- Genome-wide association study (GWAS) was used to analyze aging-related traits and risk factors.
- Integration of GWAS data with multiple molecular quantitative trait loci (xQTL) datasets (eQTL, sQTL, apaQTL, pQTL, mQTL).
- Drug-target annotation using DrugBank to identify therapeutic candidates.
Main Results:
- Cholesterol levels, immune cell traits, and insulin-like growth factor-1 (IGF1) were associated with longevity.
- Identified 30 genes, 11 splicing events, 5 proteins, 3 alternative polyadenylation events, and 39 metabolites linked to aging.
- Prioritized CASP8, PSRC1, and SORT as potential therapeutic intervention targets.
Conclusions:
- This comprehensive analysis provides a resource for understanding the molecular basis of aging.
- Key regulatory mechanisms connecting genetic variants to epigenetic aging and longevity have been highlighted.
- Novel targets for precision interventions in aging-related diseases have been identified.
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