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    We assess performance and limitations of polygenic risk scores (PRSs) for multiple blood pressure (BP) phenotypes in diverse population groups. We compare "clumping-and-thresholding" (PRSice2) and LD-based (LDPred2) methods to construct PRSs from each of multiple GWAS, as well as multi-PRS approaches that sum PRSs with and without weights, including PRS-CSx. We use datasets from the MGB Biobank, TOPMed study, UK biobank, and from All of Us to train, assess, and validate PRSs in groups defined by self-reported race/ethnic background (Asian, Black, Hispanic/Latino, and White). For both SBP and DBP, the PRS-CSx based PRS, constructed as a weighted sum of PRSs developed from multiple independent GWAS, perform best across all race/ethnic backgrounds. Stratified analysis in All of Us shows that PRSs are better predictive of BP in females compared to males, individuals without obesity, and middle-aged (40-60 years) compared to older and younger individuals. © 2023. The Author(s).

    Citation

    Nuzulul Kurniansyah, Matthew O Goodman, Alyna T Khan, Jiongming Wang, Elena Feofanova, Joshua C Bis, Kerri L Wiggins, Jennifer E Huffman, Tanika Kelly, Tali Elfassy, Xiuqing Guo, Walter Palmas, Henry J Lin, Shih-Jen Hwang, Yan Gao, Kendra Young, Gregory L Kinney, Jennifer A Smith, Bing Yu, Simin Liu, Sylvia Wassertheil-Smoller, JoAnn E Manson, Xiaofeng Zhu, Yii-Der Ida Chen, I-Te Lee, C Charles Gu, Donald M Lloyd-Jones, Sebastian Zöllner, Myriam Fornage, Charles Kooperberg, Adolfo Correa, Bruce M Psaty, Donna K Arnett, Carmen R Isasi, Stephen S Rich, Robert C Kaplan, Susan Redline, Braxton D Mitchell, Nora Franceschini, Daniel Levy, Jerome I Rotter, Alanna C Morrison, Tamar Sofer. Evaluating the use of blood pressure polygenic risk scores across race/ethnic background groups. Nature communications. 2023 Jun 02;14(1):3202

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    PMID: 37268629

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