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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Nature Portfolio
2020
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oai:doaj.org-article:455a1267540b4504a0c8a2bad60954fb2021-12-02T16:56:48ZIdentification of 31 loci for mammographic density phenotypes and their associations with breast cancer risk10.1038/s41467-020-18883-x2041-1723https://doaj.org/article/455a1267540b4504a0c8a2bad60954fb2020-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-18883-xhttps://doaj.org/toc/2041-1723Mammographic 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.Weiva SiehJoseph H. RothsteinRobert J. KleinStacey E. AlexeeffLori C. SakodaEric JorgensonRussell B. McBrideRebecca E. GraffValerie McGuireNinah AchacosoLuana ActonRhea Y. LiangJafi A. LipsonDaniel L. RubinMartin J. YaffeDouglas F. EastonCatherine SchaeferNeil RischAlice S. WhittemoreLaurel A. HabelNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-11 (2020) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
Science Q |
| spellingShingle |
Science Q 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 Identification of 31 loci for mammographic density phenotypes and their associations with breast cancer risk |
| description |
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. |
| format |
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 |
| author_facet |
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 |
| author_sort |
Weiva Sieh |
| title |
Identification of 31 loci for mammographic density phenotypes and their associations with breast cancer risk |
| title_short |
Identification of 31 loci for mammographic density phenotypes and their associations with breast cancer risk |
| title_full |
Identification of 31 loci for mammographic density phenotypes and their associations with breast cancer risk |
| title_fullStr |
Identification of 31 loci for mammographic density phenotypes and their associations with breast cancer risk |
| title_full_unstemmed |
Identification of 31 loci for mammographic density phenotypes and their associations with breast cancer risk |
| title_sort |
identification of 31 loci for mammographic density phenotypes and their associations with breast cancer risk |
| publisher |
Nature Portfolio |
| publishDate |
2020 |
| url |
https://doaj.org/article/455a1267540b4504a0c8a2bad60954fb |
| work_keys_str_mv |
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| _version_ |
1718382676846575616 |