Evidence map›Paper›PMID 41170685›Full record

ArticleInternational journal of epidemiology2025

Using Mendelian randomization to investigate etiologic heterogeneity across renal cell carcinoma subtypes.

Timothy D Winter, Om Jahagirdar, Renal Cancer Genetics Consortium, Mattias Johansson, Paul Brennan, Mitchell J Machiela, Stephen J Chanock, Mark P Purdue, Diptavo Dutta

Abstract read
In one paragraph

Article in International journal of epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

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

1 citing paper in PubMed.

  1. Article
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.

Timothy D WinterLaboratory of Genetic Susceptibility, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, United States.
Om JahagirdarIntegrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, United States.
Renal Cancer Genetics Consortium
Mattias JohanssonGenomic Epidemiology, International Agency for Research on Cancer, Lyon, France.
Paul BrennanGenomic Epidemiology, International Agency for Research on Cancer, Lyon, France.
Mitchell J MachielaIntegrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, United States.
Stephen J ChanockLaboratory of Genetic Susceptibility, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, United States.
Mark P PurdueOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, United States.
Diptavo DuttaIntegrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, United States.ORCID 0000-0002-6634-9040

Funding

Intramural NIH HHS Z99 CA999999Intramural Research Program of the National Cancer Institute, National Institutes of HealthUS Department of Health and Human ServicesWorld Health Organization 001
6 · The paper itself

Abstract

backgroundRenal cell carcinoma (RCC) histological subtypes clear cell RCC (ccRCC; >75% of cases) and papillary RCC (papRCC; ∼15%) exhibit distinct molecular and genetic profiles, patient demographics, and prognoses. Previous epidemiologic studies have identified several risk factors for overall RCC, although few have explored differences in etiology across subtypes.

methodsFor this study, we applied two-sample Mendelian randomization (MR) to findings from a genome-wide association study of RCC (27 213 cases, 488 019 controls) to investigate the effects of RCC risk factors with ccRCC (15 507 cases) and papRCC (2103 cases). We also conducted case-only MR analyses contrasting ccRCC and papRCC cases to test for heterogeneity in risk factor effects across subtypes.

resultsMR for overall RCC confirmed associations with obesity, blood pressure, smoking, and several other suspected risk factors. In subtype-specific analyses, we observed stronger associations with ccRCC than for papRCC for anthropometric measures such as body mass index [ccRCC odds ratio (ORccRCC) = 1.58 per standard deviation increase, 95% confidence interval (CI) = 1.50-1.68; papRCC odds ratio (ORpapRCC) = 1.24, 95% CI = 1.07-1.42; Pheterogeneity = 2.7 × 10-4], while stronger associations with papRCC were observed for chronic kidney disease (ORccRCC = 1.07, 95% CI = 0.99-1.15; ORpapRCC = 1.39, 95% CI = 1.16-1.66; Pheterogeneity = 5.42 × 10-5), creatinine-based estimated glomerular filtration rate (ORccRCC = 0.96, 95% CI = 0.92-1.01; ORpapRCC = 0.71, 95% CI = 0.64-0.79; Pheterogeneity = 7.76 × 10-5), and telomere length (ORccRCC = 1.98, 95% CI = 1.93-2.06; ORpapRCC = 2.50, 95% CI = 2.28-2.72; Pheterogeneity = 6.2 × 10-3). Further analysis identified the colocalization of significant RCC risk loci and 20 risk factors along with potential target genes through transcriptomic analysis.

conclusionThese results highlight the heterogeneous nature of RCC etiology and the importance of considering histologic subtypes in etiologic and genetic studies.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsMendelian Randomization AnalysisAgedBody Mass IndexFemaleGenome-Wide Association StudyHumansMaleMiddle AgedObesityRisk FactorsSmokingcase-only analysiscolocalizationetiologic heterogeneityhistologic subtypesMendelian randomizationrenal cell carcinomarisk factors

Identifiers

PMID41170685
PMCPMC12645421

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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.