Identification of 31 loci for mammographic density phenotypes and their associations with breast cancer risk

Identification of 31 loci for mammographic density phenotypes and their associations with breast cancer risk

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.

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Auteurs principaux: 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
Format: article
Langue:EN
Publié: Nature Portfolio 2020
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Science
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Accès en ligne:https://doaj.org/article/455a1267540b4504a0c8a2bad60954fb
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https://doaj.org/article/455a1267540b4504a0c8a2bad60954fb

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