Evidence map›Paper›PMID 39152336›Full record

ArticleInternational journal of obesity (2005)2024

Polygenic score for body mass index in relation to mortality among patients with renal cell cancer.

Zhengyi Deng, Rebecca E Graff, Ken Batai, Benjamin I Chung, Marvin E Langston, Linda Kachuri

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Article in International journal of obesity (2005), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Zhengyi DengDepartment of Urology, Stanford University School of Medicine, Stanford, CA, USA. zdeng18@stanford.edu.ORCID 0000-0002-9456-723X
Rebecca E GraffDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
Ken BataiDepartment of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
Benjamin I ChungDepartment of Urology, Stanford University School of Medicine, Stanford, CA, USA.
Marvin E LangstonDepartment of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-4777-2425
Linda KachuriDepartment of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-3226-4727

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe association between body mass index (BMI) and mortality among individuals with renal cell cancer (RCC) is debated, with some observational studies suggesting a lower mortality associated with higher BMI. However, methodological issues such as confounding and reverse causation may bias these findings. Using BMI-associated genetic variants can avoid these biases and generate more valid estimates.

methodsIn this prospective cohort study, we included 1264 RCC patients (446 deaths) from the UK Biobank. We created a BMI polygenic score (PGS) based on 336 BMI-associated genetic variants. The association between the PGS and mortality (all-cause and RCC-specific) was evaluated by logistic regression (all RCC cases) and Cox regression (906 incident cases). For comparison, the associations of measured pre-diagnostic BMI and waist-to-hip ratio (WHR) with mortality were quantified by Cox regression among incident cases. We stratified these analyses by time between anthropometric measurement and RCC diagnosis to assess the influence of reverse causation.

resultsWe did not observe an association between the BMI PGS and all-cause mortality among RCC patients (hazard ratio (HR) per SD increase = 0.98, 95% CI: 0.88,1.10). No association was found for pre-diagnostic BMI (HR per 5 kg/m

conclusionWe found no association between either genetic variants for high BMI or measured pre-diagnostic body adiposity and mortality among RCC patients, and our results suggested a role for reverse causation in the association of obesity with lower mortality. Future studies should be designed carefully to produce unbiased estimates that account for confounding and reverse causation.

Indexed as

Body Mass IndexCarcinoma, Renal CellKidney NeoplasmsAgedFemaleHumansMaleMiddle AgedObesityProspective StudiesUnited Kingdom

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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.