ArticleHuman genetics2005
Oligogenic combinations associated with breast cancer risk in women under 53 years of age.
Article in Human genetics, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.
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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.
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Who cites it
18 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The NQO1 Pro187Ser polymorphism and breast cancer susceptibility: evidence from an updated meta-analysis.Diagnostic pathology · 2014Pooled it
- The NQO1 polymorphism C609T (Pro187Ser) and cancer susceptibility: a comprehensive meta-analysis.British journal of cancer · 2013Pooled it
- Genetic evaluation of patients with multiple primary cancers.Oncology letters · 2025Article
- Pathogenesis of FUS-associated ALS and FTD: insights from rodent models.Acta neuropathologica communications · 2016Review
- A steroid metabolizing gene variant in a polyfactorial model improves risk prediction in a high incidence breast cancer population.BBA clinical · 2014Article
- Prediction of Colorectal Cancer Risk Using a Genetic Risk Score: The Korean Cancer Prevention Study-II (KCPS-II).Genomics & informatics · 2012Article
- SNP-set analysis replicates acute lung injury genetic risk factors.BMC medical genetics · 2012Article
- Assessing the joint effect of population stratification and sample selection in studies of gene-gene (environment) interactions.BMC genetics · 2012Article
- Powerful tests for detecting a gene effect in the presence of possible gene-gene interactions using garrote kernel machines.Biometrics · 2011Article
- Identification of interacting genes in genome-wide association studies using a model-based two-stage approach.Annals of human genetics · 2010Article
- Article
- Genome-wide association reveals three SNPs associated with sporadic amyotrophic lateral sclerosis through a two-locus analysis.BMC medical genetics · 2009Article
- Polymorphisms in genes involved in sex hormone metabolism, estrogen plus progestin hormone therapy use, and risk of postmenopausal breast cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2008Article
- An ensemble learning approach jointly modeling main and interaction effects in genetic association studies.Genetic epidemiology · 2008Article
- A statistical model for assessing genetic susceptibility as a risk factor in multifactorial diseases: lessons from occupational asthma.Environmental health perspectives · 2007Article
- Review
- Two-stage two-locus models in genome-wide association.PLoS genetics · 2006Article
- A testing framework for identifying susceptibility genes in the presence of epistasis.American journal of human genetics · 2006Article
Corrections and comments
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Common, but weakly penetrant, functional polymorphisms probably account for most of the genetic risk for breast cancer in the general population. Current polygenic risk models assume that component genes act independently. To test for potential gene-gene interactions, single nucleotide polymorphisms in ten genes with known or predicted roles in breast carcinogenesis were examined in a case-control study of 631 Caucasian women diagnosed with breast cancer under the age of 53 years and 1,504 controls under the age of 53 years. Association of breast cancer risk with individual genes and with two- and three-gene combinations was analyzed. Sixty-nine oligogenotypes from 37 distinct two- and three-gene combinations met stringent criteria for significance. Significant odds ratios (ORs) covered a 12-fold range: 0.5-5.9. Of the observed ORs, 17% differed significantly from the ORs predicted by a model of independent gene action, suggesting epistasis, i.e., that these genes interact to affect breast cancer risk in a manner not predictable from single gene effects. Exploration of the biological basis for these oligogenic interactions might reveal etiologic or therapeutic insights into breast cancer and other cancers.
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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.