ArticleInternational journal of epidemiology2018
Joint associations of a polygenic risk score and environmental risk factors for breast cancer in the Breast Cancer Association Consortium.
Article in International journal of epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
59 citing papers in PubMed, 1 synthesis or guideline pooled it, 115 citations in OpenAlex.
- Understanding the contribution of lifestyle in breast cancer risk prediction: a systematic review of models applicable to Europe.BMC cancer · 2023Pooled it
- AI-driven integration of genomic and exposome data for cancer risk: the combined risk score (CRS).Human genomics · 2026Review
- Tumor-Associated Neutrophils and Desmoplastic Reaction in the Breast Cancer Tumor Microenvironment: A Comprehensive Review.Cancers · 2026Review
- Methods for modeling gene-environment interplay using polygenic risk scores.Statistical applications in genetics and molecular biology · 2026Review
- Genome-wide association study of 398,238 women unveils seven loci associated with high-grade serous ovarian cancer.NPJ genomic medicine · 2025Article
- Alcohol Consumption Does not Modify the Polygenic Risk Score-Based Genetic Risk of Breast Cancer in Postmenopausal Women: Atherosclerosis Risk in Communities Study.Cancer prevention research (Philadelphia, Pa.) · 2025Article
- Menopausal hormone therapy: assessing associations with breast and colorectal cancers by familial risk.JNCI cancer spectrum · 2025Article
- Germline Genetic Testing for Hereditary Breast and Ovarian Cancer: Current Concepts in Risk Evaluation.Cold Spring Harbor perspectives in medicine · 2024Review
- Development of a Breast Cancer Risk Prediction Model Incorporating Polygenic Risk Scores and Nongenetic Risk Factors for Korean Women.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023Article
- Polygenic scores in cancer.Nature reviews. Cancer · 2023Review
- Update Breast Cancer 2023 Part 1 - Early Stage Breast Cancer.Geburtshilfe und Frauenheilkunde · 2023Article
- Incorporating Alternative Polygenic Risk Scores into the BOADICEA Breast Cancer Risk Prediction Model.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023Article
- Polygenic risk scores and breast cancer risk prediction.Breast (Edinburgh, Scotland) · 2023Review
- Perinatal outcomes of women with gestational breast cancer in Australia and New Zealand: A prospective population-based study.Birth (Berkeley, Calif.) · 2022Article
- Multiancestral polygenic risk score for pediatric asthma.The Journal of allergy and clinical immunology · 2022Article
- Long-Lived Individuals Show a Lower Burden of Variants Predisposing to Age-Related Diseases and a Higher Polygenic Longevity Score.International journal of molecular sciences · 2022Article
- Multidimensional Early Prediction Score for Drug-Resistant Epilepsy.Journal of clinical neurology (Seoul, Korea) · 2022Article
- Update Breast Cancer 2022 Part 3 - Early-Stage Breast Cancer.Geburtshilfe und Frauenheilkunde · 2022Article
- Burden of female breast cancer in the Middle East and North Africa region, 1990-2019.Archives of public health = Archives belges de sante publique · 2022Article
- A nomogram for survival prediction in 275,812 U.S. patients with breast cancer: a population-based cohort study based on the SEER database.Gland surgery · 2022Article
Corrections and comments
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Authors and funding
51 authors at 20 institutions in 15 countries.
Funding
Abstract
Background: Polygenic risk scores (PRS) for breast cancer can be used to stratify the population into groups at substantially different levels of risk. Combining PRS and environmental risk factors will improve risk prediction; however, integrating PRS into risk prediction models requires evaluation of their joint association with known environmental risk factors. Methods: Analyses were based on data from 20 studies; datasets analysed ranged from 3453 to 23 104 invasive breast cancer cases and similar numbers of controls, depending on the analysed environmental risk factor. We evaluated joint associations of a 77-single nucleotide polymorphism (SNP) PRS with reproductive history, alcohol consumption, menopausal hormone therapy (MHT), height and body mass index (BMI). We tested the null hypothesis of multiplicative joint associations for PRS and each of the environmental factors, and performed global and tail-based goodness-of-fit tests in logistic regression models. The outcomes were breast cancer overall and by estrogen receptor (ER) status. Results: The strongest evidence for a non-multiplicative joint associations with the 77-SNP PRS was for alcohol consumption (P-interaction = 0.009), adult height (P-interaction = 0.025) and current use of combined MHT (P-interaction = 0.038) in ER-positive disease. Risk associations for these factors by percentiles of PRS did not follow a clear dose-response. In addition, global and tail-based goodness of fit tests showed little evidence for departures from a multiplicative risk model, with alcohol consumption showing the strongest evidence for ER-positive disease (P = 0.013 for global and 0.18 for tail-based tests). Conclusions: The combined effects of the 77-SNP PRS and environmental risk factors for breast cancer are generally well described by a multiplicative model. Larger studies are required to confirm possible departures from the multiplicative model for individual risk factors, and assess models specific for ER-negative disease.
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Registered trials
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.