ArticleNature communications2024
Phenome-wide Mendelian randomisation analysis of 378,142 cases reveals risk factors for eight common cancers.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.
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Who cites it
20 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Early-life anthropometry and colorectal cancer risk in adulthood: Global Cancer Update Programme (CUP Global) systematic literature review and meta-analysis of prospective studies.International journal of cancer · 2025Pooled it
- Genome-wide association studies and Mendelian randomization analyses provide insights into the causes of early-onset colorectal cancer.Annals of oncology : official journal of the European Society for Medical Oncology · 2024Pooled it
- 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
- Article
- Relationship between the microbiome and obesity-associated cancer risk using Mendelian randomisation.International journal of obesity (2005) · 2026Article
- Proteome-wide Mendelian randomization identifies protein associations and therapeutic targets for B-cell malignancy.Blood neoplasia · 2026Article
- Erythropoietin drug targets and cancer risk: A two-sample Mendelian randomization study.Medicine · 2026Article
- Systematic assessment of obesity-related risk factors in renal cancer etiology: A longitudinal risk and Mendelian randomization analysis.PLoS medicine · 2026Article
- Association of Smoking and Alcohol Consumption with Female Reproductive Diseases: A Mendelian Randomization Study on the Mediating Role of Circulating Metabolites.International journal of women's health · 2026Article
- Mendelian randomization analysis of CpG methylation and immune phenotypes in epithelial ovarian cancer outcomes.Epigenetics · 2025Article
- Mendelian randomization analysis of modifiable risk factors for breast cancer.Discover oncology · 2025Review
- Causal relationship between the plasma lipidome and urological cancers: A two-sample Mendelian randomization study.Medicine · 2025Article
- Molecular characteristics of early- and late-onset ovarian cancer: insights from multidimensional evidence.Journal of ovarian research · 2025Article
- Low Visceral Adipose Tissue Predicts the Outcome of Neoadjuvant Chemotherapy for Colorectal Liver Metastases: A Multicentre Real-World Study.Journal of cachexia, sarcopenia and muscle · 2025Article
- Causal relationship between osteoporosis, bone mineral density, and osteonecrosis: a bidirectional two-sample Mendelian randomization study.Journal of translational medicine · 2025Article
- Telomeres, telomerase, and cancer: mechanisms, biomarkers, and therapeutics.Experimental hematology & oncology · 2025Review
- A predictive system comprising serum microRNAs and radiomics for residual retroperitoneal masses in metastatic nonseminomatous germ cell tumors.Cell reports. Medicine · 2024Article
- Association between weight-adjusted-waist index and gynecologic cancers: a population-based study.Frontiers in nutrition · 2024Article
- Cholecystectomy and blood lipid/glucose traits: insights from a population-based cross-sectional and Mendelian randomization study.American journal of translational research · 2024Article
- The causal nexus between diverse smoking statuses, potential therapeutic targets, and NSCLC: insights from Mendelian randomization and mediation analysis.Frontiers in oncology · 2024Article
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13 authors.
Funding
Abstract
For many cancers there are only a few well-established risk factors. Here, we use summary data from genome-wide association studies (GWAS) in a Mendelian randomisation (MR) phenome-wide association study (PheWAS) to identify potentially causal relationships for over 3,000 traits. Our outcome datasets comprise 378,142 cases across breast, prostate, colorectal, lung, endometrial, oesophageal, renal, and ovarian cancers, as well as 485,715 controls. We complement this analysis by systematically mining the literature space for supporting evidence. In addition to providing supporting evidence for well-established risk factors (smoking, alcohol, obesity, lack of physical activity), we also find sex steroid hormones, plasma lipids, and telomere length as determinants of cancer risk. A number of the molecular factors we identify may prove to be potential biomarkers. Our analysis, which highlights aetiological similarities and differences in common cancers, should aid public health prevention strategies to reduce cancer burden. We provide a R/Shiny app to visualise findings.
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