Evidence map›Paper›PMID 42470241›Full record

ArticleCancer medicine2026

Shared Genetics of Kidney Function Traits and Bladder Cancer: A Genome-Wide Cross-Trait Analysis.

Yifei Lin, Nanyan Xiang, Yong Yang, Shujun Huang, Shiqi Su, Tingting Fu, Yurui Luo, Zeng Wang, Rui Shi, Tao Zheng and 2 more

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

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0cells of the map it votes in
0citing papers in PubMed
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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

12 authors.

Yifei LinDepartment of Urology, Lab of Health Data Science, Innovation Institute for Integration of Medicine and Engineering, Frontiers Science Center for Disease-Related Molecular Network, Med-X Center for Manufacturing, West China Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID https://orcid.org/0000-0002-3184-9213
Nanyan XiangDepartment of Urology, Lab of Health Data Science, Innovation Institute for Integration of Medicine and Engineering, Frontiers Science Center for Disease-Related Molecular Network, Med-X Center for Manufacturing, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Yong YangDepartment of Urology, Lab of Health Data Science, Innovation Institute for Integration of Medicine and Engineering, Frontiers Science Center for Disease-Related Molecular Network, Med-X Center for Manufacturing, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Shujun HuangWest China School of Public Health/West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Shiqi SuDepartment of Urology, Lab of Health Data Science, Innovation Institute for Integration of Medicine and Engineering, Frontiers Science Center for Disease-Related Molecular Network, Med-X Center for Manufacturing, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Tingting FuDepartment of Urology, Lab of Health Data Science, Innovation Institute for Integration of Medicine and Engineering, Frontiers Science Center for Disease-Related Molecular Network, Med-X Center for Manufacturing, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Yurui LuoDepartment of Urology, Lab of Health Data Science, Innovation Institute for Integration of Medicine and Engineering, Frontiers Science Center for Disease-Related Molecular Network, Med-X Center for Manufacturing, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Zeng WangEngineering Research Center of Medical Information Technology, Ministry of Education, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Rui ShiEngineering Research Center of Medical Information Technology, Ministry of Education, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Tao ZhengEngineering Research Center of Medical Information Technology, Ministry of Education, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Banghua LiaoDepartment of Urology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID https://orcid.org/0000-0002-1017-4990
Jin HuangDepartment of Urology, Lab of Health Data Science, Innovation Institute for Integration of Medicine and Engineering, Frontiers Science Center for Disease-Related Molecular Network, Med-X Center for Manufacturing, West China Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID https://orcid.org/0000-0001-7160-2314

Funding

1.3.5 project for disciplines of excellence from West China Hospital of Sichuan University ZYGD23039National Natural Science Foundation of China 32471519National Natural Science Foundation of China 32571690Project of Med-X Center for Manufacturing 0040206107098
6 · The paper itself

Abstract

backgroundClinical and epidemiological evidence has suggested a potential association between kidney dysfunction and bladder cancer (BC). One hypothesis for this comorbidity is the presence of a common genetic etiology. However, little is known about the shared genetics and causality of this association. Thus, we aimed to investigate shared genetic architecture and the causal link between kidney dysfunction and bladder cancer.

methodsLeveraging summary statistics from large-scale genome-wide association studies (GWASs) conducted on European-ancestry populations on eGFRcrea (N = 1,004,040), eGFRcys (N = 460,826), BUN (N = 852,678), UACR (N = 288,649), urate (N = 547,361) and BC (N

resultsWe found positive correlations between both BUN and urate and BC at the genome-wide level. A total of 157 significant overlapping genetic loci (range 7 to 72) were identified across five kidney function traits and BC. Among them, PSCA was prioritized as the strongest shared gene with support from MTAG, colocalization, and TWAS, whereas ZFHX3, TTC33, and ATP2A1 were considered candidates supported only by MTAG and TWAS. MR provided the most consistent support for a potential positive causal effect of BUN on BC, limited support for UACR, and exploratory evidence for urate.

conclusionsOur cross-trait analysis demonstrated a shared genetic basis underlying kidney function and BC, providing novel insights into the biological functions and molecular mechanisms underlying these complex traits.

Indexed as

Kidney DiseasesUrinary Bladder NeoplasmsGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansLinkage DisequilibriumPhenotypePolymorphism, Single NucleotideQuantitative Trait Locibladder cancergenetic correlationgenome‐wide cross‐trait analysiskidney function

Identifiers

PMID42470241
PMCPMC13379772

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.