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...

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Vydané v:	Nature communications Ročník 14; číslo 1; s. 4863 - 10
Hlavní autori:	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
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Nature Publishing Group UK 23.08.2023 Nature Publishing Group Nature Portfolio
Predmet:	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
On-line prístup:	Získať plný text
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