ArticleHuman genetics2013
Genetic variants associated with breast cancer risk for Ashkenazi Jewish women with strong family histories but no identifiable BRCA1/2 mutation.
Article in Human genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.
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Who cites it
16 citing papers in PubMed, 3 syntheses or guidelines pooled it, 28 citations in OpenAlex.
- A Meta-Analysis of the Association between ESR1 Genetic Variants and the Risk of Breast Cancer.PloS one · 2016Pooled it
- Association of three SNPs in TOX3 and breast cancer risk: Evidence from 97275 cases and 128686 controls.Scientific reports · 2015Pooled it
- Pooled it
- Impact of Early Testing and Analysis of Germline Genetic Mutation in Patients with Breast Cancer: A Single Institution Experience.Journal of cancer prevention · 2025Article
- Association of Genetic Markers with the Risk of Early-Onset Breast Cancer in Kazakh Women.Genes · 2024Article
- Boosting GWAS using biological networks: A study on susceptibility to familial breast cancer.PLoS computational biology · 2021Article
- Cancer PRSweb: An Online Repository with Polygenic Risk Scores for Major Cancer Traits and Their Evaluation in Two Independent Biobanks.American journal of human genetics · 2020Article
- BRCA1/2-negative, high-risk breast cancers (BRCAX) for Asian women: genetic susceptibility loci and their potential impacts.Scientific reports · 2018Article
- CHEK2 Germ Line Mutations are Lacking among Familial and Sporadic Breast Cancer Patients in RwandaAsian Pacific journal of cancer prevention : APJCP · 2018Article
- Previous GWAS hits in relation to young-onset breast cancer.Breast cancer research and treatment · 2017Article
- The breast cancer susceptibility-related polymorphisms at the TOX3/LOC643714 locus associated with lung cancer risk in a Han Chinese population.Oncotarget · 2016Article
- Peroxisome proliferator-activated receptor gamma (PPARG) polymorphisms and breast cancer susceptibility: a meta-analysis.International journal of clinical and experimental medicine · 2015Article
- Surgery in the era of the 'omics revolution.The British journal of surgery · 2015Review
- Cancer risk assessment using genetic panel testing: considerations for clinical application.Journal of genetic counseling · 2014Article
- Risk-association of five SNPs in TOX3/LOC643714 with breast cancer in southern China.International journal of molecular sciences · 2014Article
- Genetic risk transmission in a family affected by familial breast cancer.Journal of human genetics · 2014Article
Corrections and comments
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Authors and funding
18 authors at 10 institutions in 3 countries.
Funding
Abstract
The ability to establish genetic risk models is critical for early identification and optimal treatment of breast cancer. For such a model to gain clinical utility, more variants must be identified beyond those discovered in previous genome-wide association studies (GWAS). This is especially true for women at high risk because of family history, but without BRCA1/2 mutations. This study incorporates three datasets in a GWAS analysis of women with Ashkenazi Jewish (AJ) homogeneous ancestry. Two independent discovery cohorts comprised 239 and 238 AJ women with invasive breast cancer or preinvasive ductal carcinoma in situ and strong family histories of breast cancer, but lacking the three BRCA1/2 founder mutations, along with 294 and 230 AJ controls, respectively. An independent, third cohort of 203 AJ cases with familial breast cancer history and 263 healthy controls of AJ women was used for validation. A total of 19 SNPs were identified as associated with familial breast cancer risk in AJ women. Among these SNPs, 13 were identified from a panel of 109 discovery SNPs, including an FGFR2 haplotype. In addition, six previously identified breast cancer GWAS SNPs were confirmed in this population. Seven of the 19 markers were significant in a multivariate predictive model of familial breast cancer in AJ women, three novel SNPs [rs17663555(5q13.2), rs566164(6q21), and rs11075884(16q22.2)], the FGFR2 haplotype, and three previously published SNPs [rs13387042(2q35), rs2046210(ESR1), and rs3112612(TOX3)], yielding moderate predictive power with an area under the curve (AUC) of the ROC (receiver-operator characteristic curve) of 0.74. Population-specific genetic variants in addition to variants shared with populations of European ancestry may improve breast cancer risk prediction among AJ women from high-risk families without founder BRCA1/2 mutations.
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