Improving polygenic prediction in ancestrally diverse populations

Bibliographische Detailangaben

Veröffentlicht in:	Nature genetics 2022-05, Vol.54 (5), p.573-580
Hauptverfasser:	Ruan, Yunfeng, Lin, Yen-Feng, Feng, Yen-Chen Anne, Chen, Chia-Yen, Lam, Max, Guo, Zhenglin, Ahn, Yong Min, Akiyama, Kazufumi, Arai, Makoto, Baek, Ji Hyun, Chen, Wei J., Chung, Young-Chul, Feng, Gang, Fujii, Kumiko, Glatt, Stephen J., Ha, Kyooseob, Hattori, Kotaro, Higuchi, Teruhiko, Hishimoto, Akitoyo, Hong, Kyung Sue, Horiuchi, Yasue, Hwu, Hai-Gwo, Ikeda, Masashi, Ishiwata, Sayuri, Itokawa, Masanari, Iwata, Nakao, Joo, Eun-Jeong, Kahn, Rene S., Kim, Sung-Wan, Kim, Se Joo, Kim, Se Hyun, Kinoshita, Makoto, Kunugi, Hiroshi, Kusumawardhani, Agung, Lee, Jimmy, Lee, Byung Dae, Lee, Heon-Jeong, Liu, Jianjun, Liu, Ruize, Ma, Xiancang, Myung, Woojae, Numata, Shusuke, Ohmori, Tetsuro, Otsuka, Ikuo, Ozeki, Yuji, Schwab, Sibylle G., Shi, Wenzhao, Shimoda, Kazutaka, Sim, Kang, Sora, Ichiro, Tang, Jinsong, Toyota, Tomoko, Tsuang, Ming, Wildenauer, Dieter B., Won, Hong-Hee, Yoshikawa, Takeo, Zheng, Alice, Zhu, Feng, He, Lin, Sawa, Akira, Martin, Alicia R., Qin, Shengying, Huang, Hailiang, Ge, Tian
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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