Androgen receptor binding sites enabling genetic prediction of mortality due to prostate cancer in cancer-free subjects

Prostate cancer (PrCa) is the second most common cancer worldwide in males. While strongly warranted, the prediction of mortality risk due to PrCa, especially before its development, is challenging. Here, we address this issue by maximizing the statistical power of genetic data with multi-ancestry m...

Full description

Saved in:

Bibliographic Details
Published in:	Nature communications Vol. 14; no. 1; pp. 4863 - 10
Main Authors:	Ito, Shuji, Liu, Xiaoxi, Ishikawa, Yuki, Conti, David D., Otomo, Nao, Kote-Jarai, Zsofia, Suetsugu, Hiroyuki, Eeles, Rosalind A., Koike, Yoshinao, Hikino, Keiko, Yoshino, Soichiro, Tomizuka, Kohei, Horikoshi, Momoko, Ito, Kaoru, Uchio, Yuji, Momozawa, Yukihide, Kubo, Michiaki, Kamatani, Yoichiro, Matsuda, Koichi, Haiman, Christopher A., Ikegawa, Shiro, Nakagawa, Hidewaki, Terao, Chikashi
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 23.08.2023 Nature Publishing Group Nature Portfolio
Subjects:	45/43 631/208/69 631/67/68 692/4028/67/589/466 Androgen receptors Androgens Binding sites Data analysis Genetic analysis Health risks Humanities and Social Sciences Meta-analysis Mortality Mortality risk multidisciplinary Predictions Prostate cancer Receptors Risk analysis Science Science (multidisciplinary) Tumor suppressor genes
ISSN:	2041-1723, 2041-1723
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!