Ontology highlight
ABSTRACT:
SUBMITTER: Jia G
PROVIDER: S-EPMC9748250 | biostudies-literature | 2022 Dec
REPOSITORIES: biostudies-literature
Jia Guochong G Ping Jie J Shu Xiang X Yang Yaohua Y Cai Qiuyin Q Kweon Sun-Seog SS Choi Ji-Yeob JY Kubo Michiaki M Park Sue K SK Bolla Manjeet K MK Dennis Joe J Wang Qin Q Guo Xingyi X Li Bingshan B Tao Ran R Aronson Kristan J KJ Chan Tsun L TL Gao Yu-Tang YT Hartman Mikael M Ho Weang Kee WK Ito Hidemi H Iwasaki Motoki M Iwata Hiroji H John Esther M EM Kasuga Yoshio Y Kim Mi-Kyung MK Kurian Allison W AW Kwong Ava A Li Jingmei J Lophatananon Artitaya A Low Siew-Kee SK Mariapun Shivaani S Matsuda Koichi K Matsuo Keitaro K Muir Kenneth K Noh Dong-Young DY Park Boyoung B Park Min-Ho MH Shen Chen-Yang CY Shin Min-Ho MH Spinelli John J JJ Takahashi Atsushi A Tseng Chiuchen C Tsugane Shoichiro S Wu Anna H AH Yamaji Taiki T Zheng Ying Y Dunning Alison M AM Pharoah Paul D P PDP Teo Soo-Hwang SH Kang Daehee D Easton Douglas F DF Simard Jacques J Shu Xiao-Ou XO Long Jirong J Zheng Wei W
American journal of human genetics 20221109 12
By combining data from 160,500 individuals with breast cancer and 226,196 controls of Asian and European ancestry, we conducted genome- and transcriptome-wide association studies of breast cancer. We identified 222 genetic risk loci and 137 genes that were associated with breast cancer risk at a p < 5.0 × 10<sup>-8</sup> and a Bonferroni-corrected p < 4.6 × 10<sup>-6</sup>, respectively. Of them, 32 loci and 15 genes showed a significantly different association between ER-positive and ER-negativ ...[more]