Ontology highlight
ABSTRACT: Importance
An improved model for risk stratification can be useful for guiding public health strategies of breast cancer prevention.Objective
To evaluate combined risk stratification utility of common low penetrant single nucleotide polymorphisms (SNPs) and epidemiologic risk factors.Design, setting, and participants
Using a total of 17 171 cases and 19 862 controls sampled from the Breast and Prostate Cancer Cohort Consortium (BPC3) and 5879 women participating in the 2010 National Health Interview Survey, a model for predicting absolute risk of breast cancer was developed combining information on individual level data on epidemiologic risk factors and 24 genotyped SNPs from prospective cohort studies, published estimate of odds ratios for 68 additional SNPs, popul
SUBMITTER: Maas P
PROVIDER: S-EPMC5719876 | biostudies-literature | 2016 Oct
REPOSITORIES: biostudies-literature