ArticleInternational journal of epidemiology2019
Associations of obesity and circulating insulin and glucose with breast cancer risk: a Mendelian randomization analysis.
Article in International journal of epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 4 of them syntheses that pooled it.
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65 citing papers in PubMed, 4 syntheses or guidelines pooled it, 113 citations in OpenAlex.
- Linking Physical Activity to Breast Cancer Risk via the Insulin/Insulin-like Growth Factor Signaling System, Part 2: The Effect of Insulin/Insulin-like Growth Factor Signaling on Breast Cancer Risk.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022Pooled it
- Identifying and ranking causal biochemical biomarkers for breast cancer: a Mendelian randomisation study.BMC medicine · 2022Pooled it
- Systematic review of Mendelian randomization studies on risk of cancer.BMC medicine · 2022Pooled it
- Type 2 Diabetes and Cancer: An Umbrella Review of Observational and Mendelian Randomization Studies.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2021Pooled it
- Adiposity and risk of breast cancer in 280 000 Chinese women: a prospective cohort study.International journal of epidemiology · 2026Observational
- Cross-population proteome-wide mendelian randomization study identifies likely causal proteins for cardiovascular diseases.Molecular genetics and genomics : MGG · 2026Article
- Investigating causal associations among inflammatory proteins, blood metabolites, and Alzheimer's disease risk.BMC psychiatry · 2026Article
- Article
- Distinct genetic profiles of obesity have different effects on breast cancer risk: leveraging Mendelian randomisation to interrogate causal pathways and identify mediating proteins.Breast cancer research : BCR · 2026Article
- Genetic Evidence Links Gestational Diabetes Mellitus to Increased ER-Negative Breast Cancer Risk Through a Mendelian Randomization Analysis.International journal of endocrinology · 2026Article
- Assessing the influence of plasma metabolites on chronic skin ulcer risk: a two-sample Mendelian randomization study.Scientific reports · 2025Article
- Multilayer analysis of ethnically diverse blood and urine biomarkers for breast cancer risk and prognosis.Scientific reports · 2025Article
- Implications of obesity and insulin resistance for the treatment of oestrogen receptor-positive breast cancer.British journal of cancer · 2024Review
- Elucidating the role of blood metabolites on pancreatic cancer risk using two-sample Mendelian randomization analysis.International journal of cancer · 2024Article
- Association between human blood metabolome and the risk of hypertension.BMC genomic data · 2023Article
- Article
- Metabolically defined body size and body shape phenotypes and risk of postmenopausal breast cancer in the European Prospective Investigation into Cancer and Nutrition.Cancer medicine · 2023Article
- Article
- DNA methylation in peripheral blood leukocytes for the association with glucose metabolism and invasive breast cancer.Clinical epigenetics · 2023Article
- Reassessing the causal role of obesity in breast cancer susceptibility: a comprehensive multivariable Mendelian randomization investigating the distribution and timing of exposure.International journal of epidemiology · 2023Article
5 more citing papers are in PubMed but not listed here.
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Authors and funding
18 authors at 18 institutions in 11 countries.
Funding
Abstract
backgroundIn addition to the established association between general obesity and breast cancer risk, central obesity and circulating fasting insulin and glucose have been linked to the development of this common malignancy. Findings from previous studies, however, have been inconsistent, and the nature of the associations is unclear.
methodsWe conducted Mendelian randomization analyses to evaluate the association of breast cancer risk, using genetic instruments, with fasting insulin, fasting glucose, 2-h glucose, body mass index (BMI) and BMI-adjusted waist-hip-ratio (WHRadj BMI). We first confirmed the association of these instruments with type 2 diabetes risk in a large diabetes genome-wide association study consortium. We then investigated their associations with breast cancer risk using individual-level data obtained from 98 842 cases and 83 464 controls of European descent in the Breast Cancer Association Consortium.
resultsAll sets of instruments were associated with risk of type 2 diabetes. Associations with breast cancer risk were found for genetically predicted fasting insulin [odds ratio (OR) = 1.71 per standard deviation (SD) increase, 95% confidence interval (CI) = 1.26-2.31, p = 5.09 × 10-4], 2-h glucose (OR = 1.80 per SD increase, 95% CI = 1.3 0-2.49, p = 4.02 × 10-4), BMI (OR = 0.70 per 5-unit increase, 95% CI = 0.65-0.76, p = 5.05 × 10-19) and WHRadj BMI (OR = 0.85, 95% CI = 0.79-0.91, p = 9.22 × 10-6). Stratified analyses showed that genetically predicted fasting insulin was more closely related to risk of estrogen-receptor [ER]-positive cancer, whereas the associations with instruments of 2-h glucose, BMI and WHRadj BMI were consistent regardless of age, menopausal status, estrogen receptor status and family history of breast cancer.
conclusionsWe confirmed the previously reported inverse association of genetically predicted BMI with breast cancer risk, and showed a positive association of genetically predicted fasting insulin and 2-h glucose and an inverse association of WHRadj BMI with breast cancer risk. Our study suggests that genetically determined obesity and glucose/insulin-related traits have an important role in the aetiology of breast cancer.
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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.