ArticleNature communications2017
Bayesian association scan reveals loci associated with human lifespan and linked biomarkers.
Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
47 citing papers in PubMed, 2 syntheses or guidelines pooled it, 86 citations in OpenAlex.
- A Prospective Analysis of Genetic Variants Associated with Human Lifespan.G3 (Bethesda, Md.) · 2019Pooled it
- A meta-analysis of genome-wide association studies identifies multiple longevity genes.Nature communications · 2019Pooled it
- Modifiable risk factors attenuated longevity genetic predisposition on life expectancy in the oldest old.npj aging · 2026Article
- Co-expression-wide association studies link genetically regulated interactions with complex traits.Nature communications · 2025Article
- Analysis of lifespan across diversity outbred mouse studies identifies multiple longevity-associated loci.Genetics · 2025Article
- Effects of aging on gene expression networks in the Drosophila genetic reference panel.Cell reports · 2025Article
- Determinants and inequities in healthy working life expectancy in China.Nature medicine · 2024Article
- Prediction of causal genes at GWAS loci with pleiotropic gene regulatory effects using sets of correlated instrumental variables.PLoS genetics · 2024Article
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- HALL: a comprehensive database for human aging and longevity studies.Nucleic acids research · 2024Article
- Focus on the nutritional intervention for healthy aging and human wellness based on the "environment-food-human" web.Frontiers in nutrition · 2024Article
- Revealing the link between gut microbiota and brain tumor risk: a new perspective from Mendelian randomization.Frontiers in cellular and infection microbiology · 2024Article
- NMR metabolomic modelling of age and lifespan: a multi-cohort analysis.medRxiv : the preprint server for health sciences · 2023Article
- Local and Bayesian Survival FDR Estimations to Identify Reliable Associations in Whole Genome of Bread Wheat.International journal of molecular sciences · 2023Article
- Multivariate genome-wide analysis of aging-related traits identifies novel loci and new drug targets for healthy aging.Nature aging · 2023Article
- Which Factors Influence Healthy Aging? A Lesson from the Longevity Village of Bama in China.Aging and disease · 2023Review
- Genome-wide association study reveals BET1L associated with survival time in the 137,693 Japanese individuals.Communications biology · 2023Article
- AI-based dimensional neuroimaging system for characterizing heterogeneity in brain structure and function in major depressive disorder: COORDINATE-MDD consortium design and rationale.BMC psychiatry · 2023Article
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Corrections and comments
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Authors and funding
19 authors at 7 institutions in 4 countries.
Funding
Abstract
The enormous variation in human lifespan is in part due to a myriad of sequence variants, only a few of which have been revealed to date. Since many life-shortening events are related to diseases, we developed a Mendelian randomization-based method combining 58 disease-related GWA studies to derive longevity priors for all HapMap SNPs. A Bayesian association scan, informed by these priors, for parental age of death in the UK Biobank study (n=116,279) revealed 16 independent SNPs with significant Bayes factor at a 5% false discovery rate (FDR). Eleven of them replicate (5% FDR) in five independent longevity studies combined; all but three are depleted of the life-shortening alleles in older Biobank participants. Further analysis revealed that brain expression levels of nearby genes (RBM6, SULT1A1 and CHRNA5) might be causally implicated in longevity. Gene expression and caloric restriction experiments in model organisms confirm the conserved role for RBM6 and SULT1A1 in modulating lifespan.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.