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

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 an...

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Autores principales: 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
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Publicado: Nature Portfolio 2021
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spelling oai:doaj.org-article:0053a1ca207d4af1a4a039816eafa93f2021-12-02T14:03:44ZTrans-ethnic meta-analysis identifies new loci associated with longitudinal blood pressure traits10.1038/s41598-021-83450-32045-2322https://doaj.org/article/0053a1ca207d4af1a4a039816eafa93f2021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-83450-3https://doaj.org/toc/2045-2322Abstract 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 × 10–9) with reported regulatory function. We observed a high correlation between the meta-analysis results for baseline and longitudinal average BP (rho = 0.48). BP trajectory results were more correlated with those of average BP (rho = 0.35) than baseline BP(rho = 0.18). Heritability estimates trended higher for longitudinal traits than for cross-sectional traits, providing evidence for different genetic architectures. Furthermore, the longitudinal data identified up to 20% more BP known associations than did cross-sectional data. Our analyses of longitudinal BP data in diverse ethnic groups identified novel BP loci associated with BP trajectory, indicating a need for further longitudinal GWAS on BP and other age-related traits.Mateus H. GouveiaAmy R. BentleyHampton LeonardKarlijn A. C. MeeksKenneth EkoruGuanjie ChenMichael A. NallsEleanor M. SimonsickEduardo Tarazona-SantosMaria Fernanda Lima-CostaAdebowale AdeyemoDaniel ShrinerCharles N. RotimiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
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
Trans-ethnic meta-analysis identifies new loci associated with longitudinal blood pressure traits
description 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 × 10–9) with reported regulatory function. We observed a high correlation between the meta-analysis results for baseline and longitudinal average BP (rho = 0.48). BP trajectory results were more correlated with those of average BP (rho = 0.35) than baseline BP(rho = 0.18). Heritability estimates trended higher for longitudinal traits than for cross-sectional traits, providing evidence for different genetic architectures. Furthermore, the longitudinal data identified up to 20% more BP known associations than did cross-sectional data. Our analyses of longitudinal BP data in diverse ethnic groups identified novel BP loci associated with BP trajectory, indicating a need for further longitudinal GWAS on BP and other age-related traits.
format article
author 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
author_facet 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
author_sort Mateus H. Gouveia
title Trans-ethnic meta-analysis identifies new loci associated with longitudinal blood pressure traits
title_short Trans-ethnic meta-analysis identifies new loci associated with longitudinal blood pressure traits
title_full Trans-ethnic meta-analysis identifies new loci associated with longitudinal blood pressure traits
title_fullStr Trans-ethnic meta-analysis identifies new loci associated with longitudinal blood pressure traits
title_full_unstemmed Trans-ethnic meta-analysis identifies new loci associated with longitudinal blood pressure traits
title_sort trans-ethnic meta-analysis identifies new loci associated with longitudinal blood pressure traits
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/0053a1ca207d4af1a4a039816eafa93f
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