Nature Communications (Mar 2020)

Identification of novel breast cancer susceptibility loci in meta-analyses conducted among Asian and European descendants

  • Xiang Shu,
  • Jirong Long,
  • Qiuyin Cai,
  • Sun-Seog Kweon,
  • Ji-Yeob Choi,
  • Michiaki Kubo,
  • Sue K. Park,
  • Manjeet K. Bolla,
  • Joe Dennis,
  • Qin Wang,
  • Yaohua Yang,
  • Jiajun Shi,
  • Xingyi Guo,
  • Bingshan Li,
  • Ran Tao,
  • Kristan J. Aronson,
  • Kelvin Y. K. Chan,
  • Tsun L. Chan,
  • Yu-Tang Gao,
  • Mikael Hartman,
  • Weang Kee Ho,
  • Hidemi Ito,
  • Motoki Iwasaki,
  • Hiroji Iwata,
  • Esther M. John,
  • Yoshio Kasuga,
  • Ui Soon Khoo,
  • Mi-Kyung Kim,
  • Sun-Young Kong,
  • Allison W. Kurian,
  • Ava Kwong,
  • Eun-Sook Lee,
  • Jingmei Li,
  • Artitaya Lophatananon,
  • Siew-Kee Low,
  • Shivaani Mariapun,
  • Koichi Matsuda,
  • Keitaro Matsuo,
  • Kenneth Muir,
  • Dong-Young Noh,
  • Boyoung Park,
  • Min-Ho Park,
  • Chen-Yang Shen,
  • Min-Ho Shin,
  • John J. Spinelli,
  • Atsushi Takahashi,
  • Chiuchen Tseng,
  • Shoichiro Tsugane,
  • Anna H. Wu,
  • Yong-Bing Xiang,
  • Taiki Yamaji,
  • Ying Zheng,
  • Roger L. Milne,
  • Alison M. Dunning,
  • Paul D. P. Pharoah,
  • Montserrat García-Closas,
  • Soo-Hwang Teo,
  • Xiao-ou Shu,
  • Daehee Kang,
  • Douglas F. Easton,
  • Jacques Simard,
  • Wei Zheng

DOI
https://doi.org/10.1038/s41467-020-15046-w
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 9

Abstract

Read online

In breast cancer, genome-wide associations studies (GWAS) have highlighted loci associated with disease risk. Here, the authors perform a meta-analysis of GWAS data from Asian populations, discovering 31 potential new risk loci, 10 of which are validated in an independent disease cohort.