ArticleBritish journal of cancer2023
Disentangling the aetiological pathways between body mass index and site-specific cancer risk using tissue-partitioned Mendelian randomisation.
Article in British journal of cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 14 citations in OpenAlex.
- Profiling the Onco-metabolic Nexus and Improving Cancer Risk Prediction Performance: A Large-scale Cohort and Genome-Wide Pleiotropic Analysis.Cancer research communications · 2026Article
- Obesity, Bariatric Surgery, and Cancer Risk: Nutritional Perspectives and Long-Term Clinical Implications.Nutrients · 2026Review
- Pre-diagnostic body mass index trajectories and associations with lung cancer risk.American journal of epidemiology · 2026Article
- Impact of Body Mass Index on Robotic Surgery Outcomes in Early-Stage Endometrial Cancer: A Retrospective Cohort Study.Cancers · 2025Article
- Disentangling the divergent causal pathways underlying the association between body mass index and bone mineral density: a comprehensive Mendelian randomization study.BMC medicine · 2025Article
- Distinct pathway-based effects of blood pressure and body mass index on cardiovascular traits: comparison of novel Mendelian randomization approaches.Genome medicine · 2025Article
- Leisure-Time Physical Activity, Sedentary Behavior, and Biological Aging: Evidence From Genetic Correlation and Mendelian Randomization Analyses.Scandinavian journal of medicine & science in sports · 2025Article
- Time-varying and tissue-dependent effects of adiposity on leptin levels: A Mendelian randomization study.eLife · 2023Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 3 countries.
Funding
Abstract
backgroundBody mass index (BMI) is known to influence the risk of various site-specific cancers, however, dissecting which subcomponents of this heterogenous risk factor are predominantly responsible for driving disease effects has proven difficult to establish. We have leveraged tissue-specific gene expression to separate the effects of distinct phenotypes underlying BMI on the risk of seven site-specific cancers.
methodsSNP-exposure estimates were weighted in a multivariable Mendelian randomisation analysis by their evidence for colocalization with subcutaneous adipose- and brain-tissue-derived gene expression using a recently developed methodology.
resultsOur results provide evidence that brain-tissue-derived BMI variants are predominantly responsible for driving the genetically predicted effect of BMI on lung cancer (OR: 1.17; 95% CI: 1.01-1.36; P = 0.03). Similar findings were identified when analysing cigarettes per day as an outcome (Beta = 0.44; 95% CI: 0.26-0.61; P = 1.62 × 10
conclusionsThe study provides valuable insight into the divergent underlying pathways between BMI and the risk of site-specific cancers.
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