Journal article
A transcriptome-wide association study of 229,000 women identifies new candidate susceptibility genes for breast cancer
Lang Wu, Wei Shi, Jirong Long, Xingyi Guo, Kyriaki Michailidou, Jonathan Beesley, Manjeet K Bolla, Xiao-Ou Shu, Yingchang Lu, Qiuyin Cai, Fares Al-Ejeh, Esdy Rozali, Qin Wang, Joe Dennis, Bingshan Li, Chenjie Zeng, Helian Feng, Alexander Gusev, Richard T Barfield, Irene L Andrulis Show all
Nature Genetics | NATURE PUBLISHING GROUP | Published : 2018
Grants
Awarded by US National Institutes of Health
Awarded by NCI
Awarded by Vanderbilt Molecular and Genetic Epidemiology of Cancer (MAGEC) training program (US NCI)
Awarded by Discovery, Biology and Risk of Inherited Variants in Breast Cancer (DRIVE) project (National Institutes of Health (NIH))
Awarded by Cancer Research UK
Awarded by European Community's Seventh Framework Programme
Awarded by European Union's Horizon 2020 Research and Innovation Programme
Awarded by European Union
Awarded by Ministry of Economic Development, Innovation and Export Trade of Quebec
Awarded by NIH Cancer Post-Cancer GWAS initiative
Awarded by NATIONAL CANCER INSTITUTE
Awarded by NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES
Funding Acknowledgements
The authors thank J. He, W. Wen, A. Giri and T. Edwards of Vanderbilt Epidemiology Center and R. Tao of the Department of Biostatistics, Vanderbilt University Medical Center for their help with the data analysis of this study. The authors would also like to thank all of the individuals for their participation in the parent studies and all of the researchers, clinicians, technicians and administrative staff for their contribution to the studies. We are also grateful to H. K. Im of University of Chicago for her help. The data analyses were conducted using the Advanced Computing Center for Research and Education (ACCRE) at Vanderbilt University. This project at Vanderbilt University Medical Center was supported in part by grants R01CA158473 and R01CA148677 from the US National Institutes of Health as well as funds from Anne Potter Wilson endowment. L.W. is supported by NCI K99 CA218892 and the Vanderbilt Molecular and Genetic Epidemiology of Cancer (MAGEC) training program (US NCI grant R25 CA160056 awarded to X.-O.S.). Genotyping of the OncoArray was principally funded from three sources: the PERSPECTIVE project, funded by the Government of Canada through Genome Canada and the Canadian Institutes of Health Research, the Ministere de l'Economie, de la Science et de l'Innovation du Quebec through Genome Quebec and the Quebec Breast Cancer Foundation; the NCI Genetic Associations and Mechanisms in Oncology (GAME-ON) initiative and the Discovery, Biology and Risk of Inherited Variants in Breast Cancer (DRIVE) project (National Institutes of Health (NIH) grants U19 CA148065 and X01HG007492); and Cancer Research UK (C1287/A10118 and C1287/A16563). BCAC is funded by Cancer Research UK (C1287/A16563), by the European Community's Seventh Framework Programme under grant agreement 223175 (HEALTH-F2-2009-223175) (COGS) and by the European Union's Horizon 2020 Research and Innovation Programme under grant agreements 633784 (B-CAST) and 634935 (BRIDGES). Genotyping of the iCOGS array was funded by the European Union (HEALTH-F2-2009-223175), Cancer Research UK (C1287/A10710), the Canadian Institutes of Health Research for the 'CIHR Team in Familial Risks of Breast Cancer' program, and the Ministry of Economic Development, Innovation and Export Trade of Quebec-grant no. PSR-SIIRI-701. Combining of the GWAS data was supported in part by the NIH Cancer Post-Cancer GWAS initiative grant U19 CA 148065 (DRIVE, part of the GAME-ON initiative). A full description of funding and acknowledgments for BCAC studies, along with consortium membership, are included in the Supplementary Note.