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

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 and Laurel A. Habel
Additional contact information
Weiva Sieh: Icahn School of Medicine at Mount Sinai
Joseph H. Rothstein: Icahn School of Medicine at Mount Sinai
Robert J. Klein: Icahn School of Medicine at Mount Sinai
Stacey E. Alexeeff: Division of Research, Kaiser Permanente Northern California
Lori C. Sakoda: Division of Research, Kaiser Permanente Northern California
Eric Jorgenson: Division of Research, Kaiser Permanente Northern California
Russell B. McBride: Icahn School of Medicine at Mount Sinai
Rebecca E. Graff: University of California San Francisco
Valerie McGuire: Stanford University School of Medicine
Ninah Achacoso: Division of Research, Kaiser Permanente Northern California
Luana Acton: Division of Research, Kaiser Permanente Northern California
Rhea Y. Liang: Stanford University School of Medicine
Jafi A. Lipson: Stanford University School of Medicine
Daniel L. Rubin: Stanford University School of Medicine
Martin J. Yaffe: University of Toronto
Douglas F. Easton: University of Cambridge
Catherine Schaefer: Division of Research, Kaiser Permanente Northern California
Neil Risch: Division of Research, Kaiser Permanente Northern California
Alice S. Whittemore: Stanford University School of Medicine
Laurel A. Habel: Division of Research, Kaiser Permanente Northern California

Nature Communications, 2020, vol. 11, issue 1, 1-11

Abstract: Abstract Mammographic density (MD) phenotypes are strongly associated with breast cancer risk and highly heritable. In this GWAS meta-analysis of 24,192 women, we identify 31 MD loci at P

Date: 2020
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DOI: 10.1038/s41467-020-18883-x

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