Ontology highlight
ABSTRACT:
SUBMITTER: Yang Y
PROVIDER: S-EPMC6838373 | biostudies-literature | 2019 Oct
REPOSITORIES: biostudies-literature
Yang Yaohua Y Shu Xiang X Shu Xiao-Ou XO Bolla Manjeet K MK Kweon Sun-Seog SS Cai Qiuyin Q Michailidou Kyriaki K Wang Qin Q Dennis Joe J Park Boyoung B Matsuo Keitaro K Kwong Ava A Park Sue Kyung SK Wu Anna H AH Teo Soo Hwang SH Iwasaki Motoki M Choi Ji-Yeob JY Li Jingmei J Hartman Mikael M Shen Chen-Yang CY Muir Kenneth K Lophatananon Artitaya A Li Bingshan B Wen Wanqing W Gao Yu-Tang YT Xiang Yong-Bing YB Aronson Kristan J KJ Spinell John J JJ Gago-Dominguez Manuela M John Esther M EM Kurian Allison W AW Chang-Claude Jenny J Chen Shou-Tung ST Dörk Thilo T Evans D Gareth R DGR Schmidt Marjanka K MK Shin Min-Ho MH Giles Graham G GG Milne Roger L RL Simard Jacques J Kubo Michiaki M Kraft Peter P Kang Daehee D Easton Douglas F DF Zheng Wei W Long Jirong J
EBioMedicine 20191016
<h4>Background</h4>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.<h4>Methods</h4>Of these 279 v ...[more]