Journal article

Re-evaluating genetic variants identified in candidate gene studies of breast cancer risk using data from nearly 280,000 women of Asian and European ancestry

Yaohua Yang, Xiang Shu, Xiao-ou Shu, Manjeet K Bolla, Sun-Seog Kweon, Qiuyin Cai, Kyriaki Michailidou, Qin Wang, Joe Dennis, Boyoung Park, Keitaro Matsuo, Ava Kwong, Sue Kyung Park, Anna H Wu, Soo Hwang Teo, Motoki Iwasaki, Ji-Yeob Choi, Jingmei Li, Mikael Hartman, Chen-Yang Shen Show all

EBioMedicine | ELSEVIER | Published : 2019

Abstract

BACKGROUND: We previously conducted a systematic field synopsis of 1059 breast cancer candidate gene studies and investigated 279 genetic variants, 51 of which showed associations. The major limitation of this work was the small sample size, even pooling data from all 1059 studies. Thereafter, genome-wide association studies (GWAS) have accumulated data for hundreds of thousands of subjects. It's necessary to re-evaluate these variants in large GWAS datasets. METHODS: Of these 279 variants, data were obtained for 228 from GWAS conducted within the Asian Breast Cancer Consortium (24,206 cases and 24,775 controls) and the Breast Cancer Association Consortium (122,977 cases and 105,974 controls..

View full abstract

Grants

Awarded by U.S. National Institutes of Health


Awarded by CRUK


Awarded by National Research Foundation Singapore Fellowship


Awarded by BRL (Basic Research Laboratory) program through the National Research Foundation of Korea - Ministry of Education. Science and Technology


Awarded by U.S. NIH grant


Awarded by National Institutes of Health


Awarded by Cancer Research UK


Awarded by European Union



Funding Acknowledgements

This project was supported in part by grants ROI CA158473 and RO1CA148677 from the U.S. National Institutes of Health, as well as funds from the Anne Potter Wilson endowment. This project was also supported by development funds from the Department of Medicine at the Vanderbilt University Medical Center. Kenneth Muir and Artitaya Lophatananon are supported by the NIHR Manchester Biomedical Research Centre and by the ICEP, which is supported by CRUK (C18281/A19169). Jingmei Li is supported by a National Research Foundation Singapore Fellowship (NRFNRFF2017-02).For studies participating in the ABCC, the 1313j I was supported by the Ministry of Education, Culture, Sports, Sciences and Technology from the Japanese Government. The SeBCS was supported by the BRL (Basic Research Laboratory) program through the National Research Foundation of Korea, funded by the Ministry of Education. Science and Technology (2011-00(J1564). The biospecimens and data of the Hwasun Cancer Epidemiology Study -Breast were provided by the Biobank of Chonnam National University Hwasun Hospital, a member of the Korea Biobank Network (07SA2014020). The Shanghai Breast Cancer GWAS was supported by the U.S. NIH grant RO1CA064277.The BCAC European data were generated with the support 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 grant PSR-SIIRI-701, The National Institutes of Health (U19 CA148065, X01HG007492), Cancer Research UK (C1287/A10118, C11287/A16563, C1287/A10710) and The European Union (HEALTH F2 -2009-223175 and H2020 633784 and 634935). The Canadian Breast Cancer Study (CBCS) was funded by the Canadian Institutes of Health Research, and the Canadian Breast Cancer Foundation/Canadian Cancer Society. All studies and funders of BCAC are listed in Michailidou et al. 2017 [2].The funders of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report. The corresponding author had full access to all the data in the study and had final responsibility for the decision to submit for publication.