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Gouveia MH, Bentley AR, Leonard H, et al. Trans-ethnic meta-analysis identifies new loci associated with longitudinal blood pressure traits. Sci Rep. 2021;11(1):4075doi: 10.1038/s41598-021-83450-3.
Gouveia, M. H., Bentley, A. R., Leonard, H., Meeks, K. A. C., Ekoru, K., Chen, G., Nalls, M. A., Simonsick, E. M., Tarazona-Santos, E., Lima-Costa, M. F., Adeyemo, A., Shriner, D., & Rotimi, C. N. (2021). Trans-ethnic meta-analysis identifies new loci associated with longitudinal blood pressure traits. Scientific reports, 11(1), 4075. https://doi.org/10.1038/s41598-021-83450-3
Gouveia, Mateus H, et al. "Trans-ethnic meta-analysis identifies new loci associated with longitudinal blood pressure traits." Scientific reports vol. 11,1 (2021): 4075. doi: https://doi.org/10.1038/s41598-021-83450-3
Gouveia MH, Bentley AR, Leonard H, Meeks KAC, Ekoru K, Chen G, Nalls MA, Simonsick EM, Tarazona-Santos E, Lima-Costa MF, Adeyemo A, Shriner D, Rotimi CN. Trans-ethnic meta-analysis identifies new loci associated with longitudinal blood pressure traits. Sci Rep. 2021 Feb 18;11(1):4075. doi: 10.1038/s41598-021-83450-3. PMID: 33603002; PMCID: PMC7893038.
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Sci Rep. 2021 Feb 18;11(1):4075. doi: 10.1038/s41598-021-83450-3.

Trans-ethnic meta-analysis identifies new loci associated with longitudinal blood pressure traits.

Scientific reports

Mateus H Gouveia, Amy R Bentley, Hampton Leonard, Karlijn A C Meeks, Kenneth Ekoru, Guanjie Chen, Michael A Nalls, Eleanor M Simonsick, Eduardo Tarazona-Santos, Maria Fernanda Lima-Costa, Adebowale Adeyemo, Daniel Shriner, Charles N Rotimi

Affiliations

  1. Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892, USA.
  2. Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, 20892, USA.
  3. Data Tecnica International, Glen Echo, MD, 20812, USA.
  4. Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA.
  5. Departamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, 31270-901, Brazil.
  6. Instituto de Pesquisa Rene Rachou, Fundação Oswaldo Cruz, Belo Horizonte, MG, 30190-002, Brazil.
  7. Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892, USA. [email protected].
  8. Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, 12 South Drive, Building 12A/Room 4047, Bethesda, MD, 20814, USA. [email protected].
  9. Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892, USA. [email protected].
  10. Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, 12 South Drive, Building 12A/Room 4047, Bethesda, MD, 20814, USA. [email protected].

PMID: 33603002 PMCID: PMC7893038 DOI: 10.1038/s41598-021-83450-3

Abstract

Genome-wide association studies (GWAS) have identified thousands of genetic loci associated with cross-sectional blood pressure (BP) traits; however, GWAS based on longitudinal BP have been underexplored. We performed ethnic-specific and trans-ethnic GWAS meta-analysis using longitudinal and cross-sectional BP data of 33,720 individuals from five cohorts in the US and one in Brazil. In addition to identifying several known loci, we identified thirteen novel loci with nine based on longitudinal and four on cross-sectional BP traits. Most of the novel loci were ethnic- or study-specific, with the majority identified in African Americans (AA). Four of these discoveries showed additional evidence of association in independent datasets, including an intergenic variant (rs4060030, p = 7.3 × 10

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