dc.contributor.author | Kurniansyah, N | |
dc.contributor.author | Goodman, MO | |
dc.contributor.author | Khan, AT | |
dc.contributor.author | Wang, J | |
dc.contributor.author | Feofanova, E | |
dc.contributor.author | Bis, JC | |
dc.contributor.author | Wiggins, KL | |
dc.contributor.author | Huffman, JE | |
dc.contributor.author | Kelly, T | |
dc.contributor.author | Elfassy, T | |
dc.contributor.author | Guo, X | |
dc.contributor.author | Palmas, W | |
dc.contributor.author | Lin, HJ | |
dc.contributor.author | Hwang, S-J | |
dc.contributor.author | Gao, Y | |
dc.contributor.author | Young, K | |
dc.contributor.author | Kinney, GL | |
dc.contributor.author | Smith, JA | |
dc.contributor.author | Yu, B | |
dc.contributor.author | Liu, S | |
dc.contributor.author | Wassertheil-Smoller, S | |
dc.contributor.author | Manson, JE | |
dc.contributor.author | Zhu, X | |
dc.contributor.author | Chen, Y-DI | |
dc.contributor.author | Lee, I-T | |
dc.contributor.author | Gu, CC | |
dc.contributor.author | Lloyd-Jones, DM | |
dc.contributor.author | Zöllner, S | |
dc.contributor.author | Fornage, M | |
dc.contributor.author | Kooperberg, C | |
dc.contributor.author | Correa, A | |
dc.contributor.author | Psaty, BM | |
dc.contributor.author | Arnett, DK | |
dc.contributor.author | Isasi, CR | |
dc.contributor.author | Rich, SS | |
dc.contributor.author | Kaplan, RC | |
dc.contributor.author | Redline, S | |
dc.contributor.author | Mitchell, BD | |
dc.contributor.author | Franceschini, N | |
dc.contributor.author | Levy, D | |
dc.contributor.author | Rotter, JI | |
dc.contributor.author | Morrison, AC | |
dc.contributor.author | Sofer, T | |
dc.date.accessioned | 2024-01-03T12:21:31Z | |
dc.date.available | 2023-05-24 | |
dc.date.available | 2024-01-03T12:21:31Z | |
dc.date.issued | 2023-06-02 | |
dc.identifier.citation | Kurniansyah, N., Goodman, M.O., Khan, A.T. et al. Evaluating the use of blood pressure polygenic risk scores across race/ethnic background groups. Nat Commun 14, 3202 (2023). https://doi.org/10.1038/s41467-023-38990-9 | en_US |
dc.identifier.issn | 2041-1723 | |
dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/93324 | |
dc.description.abstract | 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. | en_US |
dc.format.extent | 3202 | |
dc.language | eng | |
dc.language.iso | en | en_US |
dc.publisher | Springer Nature | en_US |
dc.relation.ispartof | Nature Communications | |
dc.rights | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/ licenses/by/4.0/. | |
dc.subject | Male | en_US |
dc.subject | Female | en_US |
dc.subject | Humans | en_US |
dc.subject | Blood Pressure | en_US |
dc.subject | Population Health | en_US |
dc.subject | Risk Factors | en_US |
dc.subject | Multifactorial Inheritance | en_US |
dc.subject | Ethnicity | en_US |
dc.subject | Genome-Wide Association Study | en_US |
dc.subject | Genetic Predisposition to Disease | en_US |
dc.title | Evaluating the use of blood pressure polygenic risk scores across race/ethnic background groups. | en_US |
dc.type | Article | en_US |
dc.rights.holder | © The Author(s) 2023 | |
dc.identifier.doi | 10.1038/s41467-023-38990-9 | |
pubs.author-url | https://www.ncbi.nlm.nih.gov/pubmed/37268629 | en_US |
pubs.issue | 1 | en_US |
pubs.notes | Not known | en_US |
pubs.publication-status | Published online | en_US |
pubs.publisher-url | http://doi.org/10.1038/s41467-023-38990-9 | |
pubs.volume | 14 | en_US |
dcterms.dateAccepted | 2023-05-24 | |
rioxxterms.funder | Default funder | en_US |
rioxxterms.identifier.project | Default project | en_US |