Evidence map›Paper›PMID 39789109›Full record

ArticleScientific reports2025

Transcriptome-wide association study identifies genes associated with bladder cancer risk.

Siting Li, Jiang Gui, Margaret R Karagas, Michael N Passarelli

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
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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

4 authors.

Siting LiDepartment of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, NH, USA.
Jiang GuiDepartment of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, NH, USA.
Margaret R KaragasDepartment of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA.
Michael N PassarelliDepartment of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA. michael.n.passarelli@dartmouth.edu.

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Fred W Kolling IV · 1985 to 2026
$91.3M
Relation Between In-utero Vitamin D and Immune Function in Early Childhood P20GM104416 · NIGMS · DARTMOUTH COLLEGE · PI KARAGAS, MARGARET RITA · 2013 to 2022
$23.7M
Pilot Project ProgramP30GM149408 · NIGMS · DARTMOUTH COLLEGE · PI Brock C Christensen · 2023 to 2026
$6.3M
NCI NIH HHS P30 CA023108NIGMS NIH HHS P20 GM104416NIGMS NIH HHS P30 GM149408NIH HHS P20GM104416
6 · The paper itself

Abstract

Genome-wide association studies (GWAS) have detected several susceptibility variants for urinary bladder cancer, but how gene regulation affects disease development remains unclear. To extend GWAS findings, we conducted a transcriptome-wide association study (TWAS) using PrediXcan to predict gene expression levels in whole blood using genome-wide genotype data for 6180 bladder cancer cases and 5699 controls included in the database of Genotypes and Phenotypes (dbGaP). Logistic regression was used to estimate adjusted gene-level odds ratios (OR) per 1-standard deviation higher expression with 95% confidence intervals (CI) for bladder cancer risk. We further assessed associations for individual single-nucleotide polymorphisms (SNPs) used to predict expression levels and proximal loci for genes identified in gene-level analyses with false-discovery rate (FDR) correction. TWAS identified four genes for which expression levels were associated with bladder cancer risk: SLC39A3 (OR = 0.91, CI = 0.87-0.95, FDR = 0.015), ZNF737 (OR = 0.91, CI = 0.88-0.95, FDR = 0.016), FAM53A (OR = 1.09, CI = 1.05-1.14, FDR = 0.022), and PPP1R2 (OR = 1.09, CI = 1.05-1.13, FDR = 0.049). Findings from this TWAS enhance our understanding of how genetically-regulated gene expression affects bladder cancer development and point to potential prevention and treatment targets.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyPolymorphism, Single NucleotideTranscriptomeUrinary Bladder NeoplasmsAgedCase-Control StudiesFemaleGene Expression ProfilingHumansMaleMiddle AgedRisk FactorsBladder CancerCase-controlGWASTWAS

Identifiers

PMID39789109
PMCPMC11718161

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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.