Evidence map›Paper›PMID 42081108›Full record

ArticleBiogerontology2026

Dissecting shared genetic architecture between pan-cancer and aging-related traits: a genome-wide cross-trait analysis.

Qiuyi Pu, Chao Wang, Xiaoxiao Mo, Lanlan Sha, Rui Zheng, Zhengdong Zhang, Dongmei Wu

Abstract read
PubMed Publisher
In one paragraph

Article in Biogerontology, 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

7 authors.

Qiuyi Pu *Department of Occupational Medicine, Shanghai Fengxian Center for Disease Prevention and Control (Shanghai Fengxian Health Inspection Agency), Shanghai, 201400, China.
Chao Wang *Departments of Environmental Genomics and Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Xiaoxiao Mo *Departments of Environmental Genomics and Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Lanlan ShaDepartments of Environmental Genomics and Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Rui ZhengDepartments of Environmental Genomics and Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Zhengdong ZhangDepartments of Environmental Genomics and Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Dongmei WuDepartments of Environmental Genomics and Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, 211166, China. dmwu@njmu.edu.cn.

Funding

Program of Education Development Foundation of Nanjing Medical University JZ214490202301
6 · The paper itself

Abstract

The association between aging and cancer has been extensively documented in observational studies, but their shared genetic basis remains unclear. Leveraging genome-wide association studies summary statistics of aging and pan-cancer (87,531 cases and 314,193 controls) within the European population, genetic correlation and Mendelian randomization analyses were used to estimate genetic correlations, and infer causal relationships between seven aging-related traits and pan-cancer. We further conducted cross-trait and colocalization analyses to identify shared causal variants and then mapped them to genes. Differential expression analysis, RT-qPCR assays, enrichment analysis, and survival analysis were performed to explore the expression profiles of candidate genes and potential pathways. A significant negative genetic correlation between mvAge and pan-cancer was observed (r

Indexed as

AgingNeoplasmsGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPhenotypePolymorphism, Single NucleotideAgingCross-trait analysisPan-cancerShared genetic architectureZC3HC1

Identifiers

PMID42081108

What OpenQuestion holds

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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.