학술논문
Identification of 31 loci for mammographic density phenotypes and their associations with breast cancer risk
Document Type
article
Author
Weiva Sieh; Joseph H. Rothstein; Robert J. Klein; Stacey E. Alexeeff; Lori C. Sakoda; Eric Jorgenson; Russell B. McBride; Rebecca E. Graff; Valerie McGuire; Ninah Achacoso; Luana Acton; Rhea Y. Liang; Jafi A. Lipson; Daniel L. Rubin; Martin J. Yaffe; Douglas F. Easton; Catherine Schaefer; Neil Risch; Alice S. Whittemore; Laurel A. Habel
Source
Nature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
Subject
Language
English
ISSN
2041-1723
Abstract
Mammographic density represents one the strongest predictors of breast cancer risk. Here the authors perform genome-wide association study meta-analysis of women screened with full-field digital mammography and identify 31 previously unreported loci associated with mammographic density phenotypes.