Improving polygenic prediction in ancestrally diverse populations
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Published:2022-05
Issue:5
Volume:54
Page:573-580
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ISSN:1061-4036
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Container-title:Nature Genetics
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language:en
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Short-container-title:Nat Genet
Author:
Ruan Yunfeng, Lin Yen-FengORCID, Feng Yen-Chen AnneORCID, Chen Chia-YenORCID, Lam MaxORCID, 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 AkiraORCID, Martin Alicia R.ORCID, Qin ShengyingORCID, Huang HailiangORCID, Ge TianORCID,
Funder
Brain and Behavior Research Foundation U.S. Department of Health & Human Services | NIH | National Institute of Mental Health U.S. Department of Health & Human Services | NIH | National Institute of Diabetes and Digestive and Kidney Diseases the Zhengxu and Ying He Foundation and the Stanley Center for Psychiatric Research Science and Technology Commission of Shanghai Municipality U.S. Department of Health & Human Services | NIH | National Institute on Aging
Publisher
Springer Science and Business Media LLC
Reference50 articles.
1. Khera, A. V. et al. Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations. Nat. Genet. 50, 1219–1224 (2018). 2. Khera, A. V. et al. Polygenic prediction of weight and obesity trajectories from birth to adulthood. Cell 177, 587–596.e9 (2019). 3. Torkamani, A., Wineinger, N. E. & Topol, E. J. The personal and clinical utility of polygenic risk scores. Nat. Rev. Genet. 19, 581–590 (2018). 4. Chatterjee, N., Shi, J. & García-Closas, M. Developing and evaluating polygenic risk prediction models for stratified disease prevention. Nat. Rev. Genet. 17, 392–406 (2016). 5. Zheutlin, A. B. et al. Penetrance and pleiotropy of polygenic risk scores for schizophrenia in 106,160 patients across four health care systems. Am. J. Psychiatry 176, 846–855 (2019).
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