Evidence map›Paper›PMID 41991941›Full record

Articlenpj aging2026

Genetic and molecular factors underlying human longevity and epigenetic aging.

Kai Gai, Wenjian Li, Junpeng Li, Haibin He, Lulu Shi, MiaoMiao Tang, Fang Wang, Tianpeng Chang, Yang Wu

Abstract read
In one paragraph

Article in npj aging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Kai GaiInstitute of Rare Diseases, West China Hospital of Sichuan University, Chengdu, China.
Wenjian LiInstitute of Rare Diseases, West China Hospital of Sichuan University, Chengdu, China.
Junpeng LiInstitute of Rare Diseases, West China Hospital of Sichuan University, Chengdu, China.
Haibin HeInstitute of Rare Diseases, West China Hospital of Sichuan University, Chengdu, China.
Lulu ShiInstitute of Rare Diseases, West China Hospital of Sichuan University, Chengdu, China.
MiaoMiao TangInstitute of Rare Diseases, West China Hospital of Sichuan University, Chengdu, China.
Fang WangInstitute of Rare Diseases, West China Hospital of Sichuan University, Chengdu, China.
Tianpeng ChangInstitute of Rare Diseases, West China Hospital of Sichuan University, Chengdu, China.
Yang WuInstitute of Rare Diseases, West China Hospital of Sichuan University, Chengdu, China. yang.wu@wchscu.edu.cn.

Funding

Fundamental Research Funds for the Central Universities ZYYC24006
6 · The paper itself

Abstract

Biological aging is a complex process associated with declining physiological function and increased risk of aging-related diseases. However, its risk factors and molecular mechanisms remain poorly understood. Here, we performed a comprehensive integrative analysis to identify putative risk factors and molecular phenotypes associated with four epigenetic aging acceleration and human longevity. We first investigated the association between aging-related traits and potential risk factors using genome-wide association study (GWAS) data, identifying cholesterol levels, immune cell traits and insulin-like growth factor-1 (IGF1) as associated with longevity. To investigate the molecular mechanisms, we integrated GWAS summary data for epigenetic aging and longevity with five types of molecular QTL (xQTL) datasets, including gene expression (eQTL), splicing (sQTL), alternative polyadenylation (apaQTL), protein (pQTL), and metabolite QTL (mQTL). We identified 30 genes, 11 splicing events, 5 proteins, 3 alternative polyadenylation events, and 39 metabolites associated with aging-related traits, highlighting key regulatory mechanisms that link genetic variants to epigenetic aging and longevity. Drug-target annotation using DrugBank further prioritized therapeutic candidates, including CASP8, PSRC1 and SORT, as potential intervention targets. These findings provide a comprehensive resource for understanding the molecular architecture of aging and highlight potential novel targets for precision interventions in aging-related diseases.

Identifiers

PMID41991941
PMCPMC13272799

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Registered trials

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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.