A new method for multiancestry polygenic prediction improves performance across diverse populations
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Published:2023-09-25
Issue:10
Volume:55
Page:1757-1768
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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:
Zhang HaoyuORCID, Zhan Jianan, Jin Jin, Zhang JingningORCID, Lu Wenxuan, Zhao Ruzhang, Ahearn Thomas U.ORCID, Yu ZhiORCID, O’Connell Jared, Jiang Yunxuan, Chen TonyORCID, Okuhara Dayne, Aslibekyan Stella, Auton Adam, Babalola Elizabeth, Bell Robert K., Bielenberg Jessica, Bryc Katarzyna, Bullis Emily, Coker Daniella, Partida Gabriel Cuellar, Dhamija Devika, Das Sayantan, Elson Sarah L., Eriksson Nicholas, Filshtein Teresa, Fitch Alison, Fletez-Brant Kipper, Fontanillas Pierre, Freyman Will, Granka Julie M., Heilbron Karl, Hernandez Alejandro, Hicks Barry, Hinds David A., Jewett Ethan M., Kukar Katelyn, Kwong Alan, Lin Keng-Han, Llamas Bianca A., Lowe Maya, McCreight Jey C., McIntyre Matthew H., Micheletti Steven J., Moreno Meghan E., Nandakumar Priyanka, Nguyen Dominique T., Noblin Elizabeth S., Petrakovitz Aaron A., Poznik G. David, Reynoso Alexandra, Schumacher Morgan, Shastri Anjali J., Shelton Janie F., Shi Jingchunzi, Shringarpure Suyash, Su Qiaojuan Jane, Tat Susana A., Tchakouté Christophe Toukam, Tran Vinh, Tung Joyce Y., Wang Xin, Wang Wei, Weldon Catherine H., Wilton Peter, Wong Corinna D., Garcia-Closas MontserratORCID, Lin XihongORCID, Koelsch Bertram L., Chatterjee NilanjanORCID,
Funder
U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute U.S. Department of Health & Human Services | NIH | National Cancer Institute U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute
Publisher
Springer Science and Business Media LLC
Reference67 articles.
1. Buniello, A. et al. The NHGRI-EBI GWAS Catalog of published genome-wide association studies, targeted arrays and summary statistics 2019. Nucleic Acids Res. 47, D1005–D1012 (2019). 2. 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). 3. 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). 4. Mavaddat, N. et al. Polygenic risk scores for prediction of breast cancer and breast cancer subtypes. Am. J. Hum. Genet. 104, 21–34 (2019). 5. Jia, G. et al. Evaluating the utility of polygenic risk scores in identifying high-risk individuals for eight common cancers. JNCI Cancer Spectr. 4, pkaa021 (2020).
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