ArticlePloS one2017
Using Breast Cancer Risk Associated Polymorphisms to Identify Women for Breast Cancer Chemoprevention.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 17 citations in OpenAlex.
- Integrating breast cancer polygenic risk scores at scale in the WISDOM Study: a national randomized personalized screening trial.Genome medicine · 2025Trial
- Development and testing of a polygenic risk score for breast cancer aggressiveness.NPJ precision oncology · 2023Article
- 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
- Mammography screening and mortality by risk status in the California teachers study.BMC cancer · 2021Article
- A Polygenic Risk Score for Breast Cancer in US Latinas and Latin American Women.Journal of the National Cancer Institute · 2020Article
- Copy number alterations associated with clinical features in an underrepresented population with breast cancer.Molecular genetics & genomic medicine · 2019Article
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- Breast Cancer Risk Model Requirements for Counseling, Prevention, and Screening.Journal of the National Cancer Institute · 2018Article
- Combining quantitative and qualitative breast density measures to assess breast cancer risk.Breast cancer research : BCR · 2017Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundBreast cancer can be prevented with selective estrogen receptor modifiers (SERMs) and aromatase inhibitors (AIs). The US Preventive Services Task Force recommends that women with a 5-year breast cancer risk ≥3% consider chemoprevention for breast cancer. More than 70 single nucleotide polymorphisms (SNPs) have been associated with breast cancer. We sought to determine how to best integrate risk information from SNPs with other risk factors to risk stratify women for chemoprevention.
methodsWe used the risk distribution among women ages 35-69 estimated by the Breast Cancer Surveillance Consortium (BCSC) risk model. We modeled the effect of adding 70 SNPs to the BCSC model and examined how this would affect how many women are reclassified above and below the threshold for chemoprevention.
resultsWe found that most of the benefit of SNP testing a population is achieved by testing a modest fraction of the population. For example, if women with a 5-year BCSC risk of >2.0% are tested (~21% of all women), ~75% of the benefit of testing all women (shifting women above or below 3% 5-year risk) would be derived. If women with a 5-year risk of >1.5% are tested (~36% of all women), ~90% of the benefit of testing all women would be derived.
conclusionSNP testing is effective for reclassification of women for chemoprevention, but is unlikely to reclassify women with <1.5% 5-year risk. These results can be used to implement an efficient two-step testing approach to identify high risk women who may benefit from chemoprevention.
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