ArticleBritish journal of cancer2021
Identifying causality, genetic correlation, priority and pathways of large-scale complex exposures of breast and ovarian cancers.
Article in British journal of cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.
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Who cites it
15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.
- Risk factors of ovarian cancer: a systematic review and meta-analysis of Mendelian randomiation studies.Journal of public health (Oxford, England) · 2026Pooled it
- Epidemiological and Genetic Analyses of Schizophrenia and Breast Cancer.Schizophrenia bulletin · 2024Pooled it
- Inflammatory biomarkers and risk of postmenopausal oestrogen receptor-positive breast cancer: a case-cohort analysis.British journal of cancer · 2026Article
- Sedentary behaviour and cancer risk: a World Cancer Research Fund International Global Cancer Update Programme (CUP Global) systematic literature review and meta-analysis.medRxiv : the preprint server for health sciences · 2026Article
- Identification and Computational Analysis ofMedical sciences (Basel, Switzerland) · 2025Article
- Sex-specific Mendelian randomization phenome-wide association study of basal metabolic rate.Scientific reports · 2025Article
- Sex hormones and immune regulation in ovarian cancer.Discover oncology · 2024Review
- Investigating the shared genetic architecture between breast and ovarian cancers.Genetics and molecular biology · 2024Article
- Relationship between oily fish intake and breast cancer based on estrogen receptor status: a Mendelian randomization study.Breast cancer research and treatment · 2024Article
- The mortalities of female-specific cancers in China and other countries with distinct socioeconomic statuses: A longitudinal study.Journal of advanced research · 2023Article
- Causal Association Between Obesity, Circulating Glutamine Levels, and Depression: A Mendelian Randomization Study.The Journal of clinical endocrinology and metabolism · 2023Article
- Review of mendelian randomization studies on age at natural menopause.Frontiers in endocrinology · 2023Review
- Severe mental illness and the risk of breast cancer: A two-sample, two-step multivariable Mendelian randomization study.PloS one · 2023Article
- The impact of obesity and adipokines on breast and gynecologic malignancies.Annals of the New York Academy of Sciences · 2022Review
- Targeting lipid metabolism in the treatment of ovarian cancer.Oncotarget · 2022Review
Corrections and comments
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Authors and funding
12 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGenetic correlations, causalities and pathways between large-scale complex exposures and ovarian and breast cancers need systematic exploration.
methodsMendelian randomisation (MR) and genetic correlation (GC) were used to identify causal biomarkers from 95 cancer-related exposures for risk of breast cancer [BC: oestrogen receptor-positive (ER + BC) and oestrogen receptor-negative (ER - BC) subtypes] and ovarian cancer [OC: high-grade serous (HGSOC), low-grade serous, invasive mucinous (IMOC), endometrioid (EOC) and clear cell (CCOC) subtypes].
resultsOf 31 identified robust risk factors, 16 were new causal biomarkers for BC and OC. Body mass index (BMI), body fat mass (BFM), comparative body size at age 10 (CBS-10), waist circumference (WC) and education attainment were shared risk factors for overall BC and OC. Childhood obesity, BMI, CBS-10, WC, schizophrenia and age at menopause were significantly associated with ER + BC and ER - BC. Omega-6:omega-3 fatty acids, body fat-free mass and basal metabolic rate were positively associated with CCOC and EOC; BFM, linoleic acid, omega-6 fatty acids, CBS-10 and birth weight were significantly associated with IMOC; and body fat percentage, BFM and adiponectin were significantly associated with HGSOC. Both GC and MR identified 13 shared factors. Factors were stratified into five priority levels, and visual causal networks were constructed for future interventions.
conclusionsWith analysis of large-scale exposures for breast and ovarian cancers, causalities, genetic correlations, shared or specific factors, risk factor priority and causal pathways and networks were identified.
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