BCAC-CIMBA Case-only Analysis (Coignard J et al 2021)
- 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.
The results files contain the top 10,000 SNPs ranked by p-value after QC (MAF >= 0.01 and r2 >= 0.5), respectively for BRCA1 and BRCA2 case-only analyses after re-imputation with BCAC and CIMBA data simultaneously. Re-imputation has been performed on the significant regions identified by the case-only analyses of data imputed separately.
The analyses are described in Coignard et al (Nat Commun, 2021).
Acknowledgements
You are free to use this resource in a publication.
If you do so, please cite Coignard et al (Nat Commun, 2021) 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 Coignard et al (Nat Commun, 2020).
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.