ArticleBreast cancer research : BCR2019
Joint association of mammographic density adjusted for age and body mass index and polygenic risk score with breast cancer risk.
Article in Breast cancer research : BCR, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 48 citations in OpenAlex.
- Evaluating mammographic density polygenic risk score for contralateral breast cancer risk prediction.Scientific reports · 2026Article
- A clinical pilot study for personalized risk-based breast cancer screening utilizing a polygenic risk score.PloS one · 2026Article
- Genome-wide association study of 398,238 women unveils seven loci associated with high-grade serous ovarian cancer.NPJ genomic medicine · 2025Article
- Evaluating mammographic density's contribution to improve a breast cancer risk model with questionnaire-based and polygenic factors.NPJ breast cancer · 2025Article
- Review
- Joint ABS-UKCGG-CanGene-CanVar consensus regarding the use of CanRisk in clinical practice.British journal of cancer · 2024Review
- A polygenetic risk score combined with environmental factors better predict susceptibility to hepatocellular carcinoma in Chinese population.Cancer medicine · 2024Article
- Polygenic scores in cancer.Nature reviews. Cancer · 2023Review
- Update Breast Cancer 2023 Part 1 - Early Stage Breast Cancer.Geburtshilfe und Frauenheilkunde · 2023Article
- Validation of a breast cancer risk prediction model based on the key risk factors: family history, mammographic density and polygenic risk.Breast cancer research and treatment · 2023Article
- Polygenic risk scores and breast cancer risk prediction.Breast (Edinburgh, Scotland) · 2023Review
- Update Breast Cancer 2022 Part 3 - Early-Stage Breast Cancer.Geburtshilfe und Frauenheilkunde · 2022Article
- Feasibility of personalized screening and prevention recommendations in the general population through breast cancer risk assessment: results from a dedicated risk clinic.Breast cancer research and treatment · 2022Article
- The current status of risk-stratified breast screening.British journal of cancer · 2022Review
- Incorporating Polygenic Risk Scores and Nongenetic Risk Factors for Breast Cancer Risk Prediction Among Asian Women.JAMA network open · 2022Article
- The epidemiologic factors associated with breast density: A review.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2022Review
- Article
- Simplified Breast Risk Tool Integrating Questionnaire Risk Factors, Mammographic Density, and Polygenic Risk Score: Development and Validation.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2021Article
- Feasibility and acceptability of personalised breast cancer screening (DECIDO study): protocol of a single-arm proof-of-concept trial.BMJ open · 2020Article
- Combination of phenotype and polygenic risk score in breast cancer risk evaluation in the Spanish population: a case -control study.BMC cancer · 2020Article
Corrections and comments
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Authors and funding
36 authors at 16 institutions in 7 countries.
Funding
Abstract
backgroundMammographic breast density, adjusted for age and body mass index, and a polygenic risk score (PRS), comprised of common genetic variation, are both strong risk factors for breast cancer and increase discrimination of risk models. Understanding their joint contribution will be important to more accurately predict risk.
methodsUsing 3628 breast cancer cases and 5126 controls of European ancestry from eight case-control studies, we evaluated joint associations of a 77-single nucleotide polymorphism (SNP) PRS and quantitative mammographic density measures with breast cancer. Mammographic percent density and absolute dense area were evaluated using thresholding software and examined as residuals after adjusting for age, 1/BMI, and study. PRS and adjusted density phenotypes were modeled both continuously (per 1 standard deviation, SD) and categorically. We fit logistic regression models and tested the null hypothesis of multiplicative joint associations for PRS and adjusted density measures using likelihood ratio and global and tail-based goodness of fit tests within the subset of six cohort or population-based studies.
resultsAdjusted percent density (odds ratio (OR) = 1.45 per SD, 95% CI 1.38-1.52), adjusted absolute dense area (OR = 1.34 per SD, 95% CI 1.28-1.41), and the 77-SNP PRS (OR = 1.52 per SD, 95% CI 1.45-1.59) were associated with breast cancer risk. There was no evidence of interaction of the PRS with adjusted percent density or dense area on risk of breast cancer by either the likelihood ratio (P > 0.21) or goodness of fit tests (P > 0.09), whether assessed continuously or categorically. The joint association (OR) was 2.60 in the highest categories of adjusted PD and PRS and 0.34 in the lowest categories, relative to women in the second density quartile and middle PRS quintile.
conclusionsThe combined associations of the 77-SNP PRS and adjusted density measures are generally well described by multiplicative models, and both risk factors provide independent information on breast cancer risk.
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