ER-Negative Breast Cancer Risk Analysis (Milne R et al 2017)
- The summary results from this paper can be downloaded here.
In downloading the data, you are accepting the terms and conditions as set out below.
This results file provides summary association statistics from a GWAS meta-analysis of ER-negative breast cancer and the breast cancer in BRCA1 mutation carriers from CIMBA, as described in Milne et al (Nat Genet, 2017). The results are for women of European ancestry only.
Description of field names in the result files are also included in the download.
Acknowledgements
You are free to use make use of this resource in publications.
If you do so, please cite Milne et al (Nat Genet, 2017) and please acknowledge the following:
The breast cancer genome-wide association analyses for BCAC and CIMBA were supported by Cancer Research UK (PPRPGM-Nov20\100002, C1287/A10118, C1287/A16563, C1287/A10710, C12292/A20861, C12292/A11174, C1281/A12014, C5047/A8384, C5047/A15007, C5047/A10692, C8197/A16565) and the Gray Foundation, The National Institutes of Health (CA128978, X01HG007492- the DRIVE consortium), the PERSPECTIVE project supported by the Government of Canada through Genome Canada and the Canadian Institutes of Health Research (grant GPH-129344) and the Ministère de l’Économie, Science et Innovation du Québec through Genome Québec and the PSRSIIRI-701 grant, the Quebec Breast Cancer Foundation, the European Community's Seventh Framework Programme under grant agreement n° 223175 (HEALTH-F2-2009-223175) (COGS), the European Union's Horizon 2020 Research and Innovation Programme (634935 and 633784), the Post-Cancer GWAS initiative (U19 CA148537, CA148065 and CA148112 - the GAME-ON initiative), the Department of Defence (W81XWH-10-1-0341), the Canadian Institutes of Health Research (CIHR) for the CIHR Team in Familial Risks of Breast Cancer (CRN-87521), the Komen Foundation for the Cure, the Breast Cancer Research Foundation and the Ovarian Cancer Research Fund. All studies and funders are listed in Milne et al (Nat Genet, 2017).
Terms of Use
The sample size and precision of the data presented should preclude identification of any individual subject. However, in downloading these data, you undertake not to attempt to identify individual subjects and not to repost these data to a third-party website.