دورية أكاديمية
Identification of 31 loci for mammographic density phenotypes and their associations with breast cancer risk
| العنوان: | Identification of 31 loci for mammographic density phenotypes and their associations with breast cancer risk |
|---|---|
| المؤلفون: | 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 |
| المصدر: | Nature Communications, Vol 11, Iss 1, Pp 1-11 (2020) |
| بيانات النشر: | Nature Portfolio |
| سنة النشر: | 2020 |
| المجموعة: | Directory of Open Access Journals: DOAJ Articles |
| مصطلحات موضوعية: | Science |
| الوصف: | 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. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| تدمد: | 2041-1723 |
| العلاقة: | https://doi.org/10.1038/s41467-020-18883-xTest; https://doaj.org/toc/2041-1723Test; https://doaj.org/article/455a1267540b4504a0c8a2bad60954fbTest |
| DOI: | 10.1038/s41467-020-18883-x |
| الإتاحة: | https://doi.org/10.1038/s41467-020-18883-xTest https://doaj.org/article/455a1267540b4504a0c8a2bad60954fbTest |
| رقم الانضمام: | edsbas.771B991 |
| قاعدة البيانات: | BASE |
Full Text Finder | تدمد: | 20411723 |
|---|---|
| DOI: | 10.1038/s41467-020-18883-x |