Ontology highlight
ABSTRACT:
SUBMITTER: Husing A
PROVIDER: S-EPMC3793888 | biostudies-literature | 2012 Sep
REPOSITORIES: biostudies-literature
Hüsing Anika A Canzian Federico F Beckmann Lars L Garcia-Closas Montserrat M Diver W Ryan WR Thun Michael J MJ Berg Christine D CD Hoover Robert N RN Ziegler Regina G RG Figueroa Jonine D JD Isaacs Claudine C Olsen Anja A Viallon Vivian V Boeing Heiner H Masala Giovanna G Trichopoulos Dimitrios D Peeters Petra H M PH Lund Eiliv E Ardanaz Eva E Khaw Kay-Tee KT Lenner Per P Kolonel Laurence N LN Stram Daniel O DO Le Marchand Loïc L McCarty Catherine A CA Buring Julie E JE Lee I-Min IM Zhang Shumin S Lindström Sara S Hankinson Susan E SE Riboli Elio E Hunter David J DJ Henderson Brian E BE Chanock Stephen J SJ Haiman Christopher A CA Kraft Peter P Kaaks Rudolf R
Journal of medical genetics 20120901 9
<h4>Objective</h4>There is increasing interest in adding common genetic variants identified through genome wide association studies (GWAS) to breast cancer risk prediction models. First results from such models showed modest benefits in terms of risk discrimination. Heterogeneity of breast cancer as defined by hormone-receptor status has not been considered in this context. In this study we investigated the predictive capacity of 32 GWAS-detected common variants for breast cancer risk, alone and ...[more]