Scientific ReportsGenetic & Genomic MedicinePeer-reviewed journal article
Polygenic prediction of human longevity on the supposition of pervasive pleiotropy
Mohammad Reza JabalameliiD, Jhih-Rong LiniD, Quanwei ZhangiD, Zhen WangiD, Joydeep MitraiD, Nha NguyeniD, Tina GaoiD, Mark Khusidman, Sanish SathyaniD, Gil AtzmoniD, Sofiya MilmaniD, Jan VijgiD, Nir BarzilaiiD, Zhengdong D. ZhangiD
Abstract
The highly polygenic nature of human longevity renders cross-trait pleiotropy an indispensable feature of its genetic architecture. Leveraging the genetic correlation between the aging-related traits (ARTs), we sought to model the additive variance in lifespan as a function of cumulative liability from pleiotropic segregating variants. We tracked allele frequency changes as a function of viability across different age bins and prioritized 34 variants with an immediate implication on lipid metabolism, body mass index (BMI), and cognitive performance, among other traits, revealed by PheWAS analysis in the UK Biobank. Given the highly complex and non-linear interactions between the genetic determinants of longevity, we reasoned that a composite polygenic score would approximate a substantial portion of the variance in lifespan and developed the integrated longevity genetic scores (iLGSs) for distinguishing exceptional survival. We showed that coefficients derived from our ensemble model could potentially reveal an interesting pattern of genomic pleiotropy specific to lifespan. We assessed the predictive performance of our model for distinguishing the enrichment of exceptional longevity among long-lived individuals in two replication cohorts and showed that the median lifespan in the highest decile of our composite prognostic index is up to 4.8 years longer. Finally, using the proteomic correlates of iLGS, we identified protein markers associated with exceptional longevity irrespective of chronological age and prioritized drugs with repurposing potentials for gerotherapeutics. Together, our approach demonstrates a promising framework for polygenic modeling of additive liability conferred by ARTs in defining exceptional longevity and assisting the identification of individuals at higher risk of mortality for targeted lifestyle modifications earlier in life. Furthermore, the proteomic signature associated with iLGS highlights the functional pathway upstream of the PI3K-Akt that can be effectively targeted to slow down aging and extend lifespan.
- organism: human
- assay: GWAS summary statistics
- research focus: polygenic risk
- approach: statistical model
- Citations
- 3
- FWCI
- 0.79
- Field percentile
- top 30%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Distribution of 54 polygenic risk scores for common diseases in long lived individuals and their offspring
Sophia Gunn, Michael Wainberg, … Paola Sebastiani B·GeroSciencePeer-reviewed·Feb 4, 2022
- Genetic predisposition to longer lifespan, lifestyle factors, and all-cause mortality: a 17-year prospective cohort study
Niko Paavo Tynkkynen, Laura Joensuu, … Elina Sillanpää·GeroSciencePeer-reviewed·Jul 25, 2026
- Trans-biobank analysis with 676,000 individuals elucidates the association of polygenic risk scores of complex traits with human lifespan
FinnGen, Saori Sakaue, … Yukinori Okada·Nature MedicinePeer-reviewed·Mar 23, 2020
- HUMAN LONGEVITY IS INFLUENCED BY MANY GENETIC VARIANTS: EVIDENCE FROM 75,000 UK BIOBANK PARTICIPANTS
Luke C Pilling, Janice L Atkins, … David Melzer·bioRxiv·Feb 1, 2016
- Evidence for the role of selection for reproductively advantageous alleles in human aging
E. Long, J. G. Zhang·Science AdvancesPeer-reviewed·Dec 8, 2023
- Long-Term Exposure to Elevated Lipoprotein(a) Levels, Parental Lifespan and Risk of Mortality
Benoît J. Arsenault, William Pelletier, … S. Matthijs Boekholdt·bioRxiv·Apr 29, 2019