Cargando…

Direct Estimates of the Genomic Contributions to Blood Pressure Heritability within a Population-Based Cohort (ARIC)

Blood pressure (BP) is a heritable trait with multiple environmental and genetic contributions, with current heritability estimates from twin and family studies being ~ 40%. Here, we use genome-wide polymorphism data from the Atherosclerosis Risk in Communities (ARIC) study to estimate BP heritabili...

Descripción completa

Detalles Bibliográficos
Autores principales: Salfati, Elias, Morrison, Alanna C., Boerwinkle, Eric, Chakravarti, Aravinda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4498745/
https://www.ncbi.nlm.nih.gov/pubmed/26162070
http://dx.doi.org/10.1371/journal.pone.0133031
_version_ 1782380670186684416
author Salfati, Elias
Morrison, Alanna C.
Boerwinkle, Eric
Chakravarti, Aravinda
author_facet Salfati, Elias
Morrison, Alanna C.
Boerwinkle, Eric
Chakravarti, Aravinda
author_sort Salfati, Elias
collection PubMed
description Blood pressure (BP) is a heritable trait with multiple environmental and genetic contributions, with current heritability estimates from twin and family studies being ~ 40%. Here, we use genome-wide polymorphism data from the Atherosclerosis Risk in Communities (ARIC) study to estimate BP heritability from genomic relatedness among cohort members. We utilized data on 6,365,596 and 9,578,528 genotyped and imputed common single nucleotide polymorphisms (SNPs), in 8,901 European ancestry (EA) and 2,860 African Ancestry (AA) ARIC participants, respectively, and a mixed linear model for analyses, to make four observations. First, for BP measurements, the heritability is ~20%/~50% and ~27%/~39% for systolic (SBP)/diastolic (DBP) blood pressure in European and African ancestry individuals, respectively, consistent with prior studies. Second, common variants with allele frequency >10% recapitulate most of the BP heritability in these data. Third, the vast majority of BP heritability varies by chromosome, depending on its length, and is largely concentrated in noncoding genomic regions annotated as DNaseI hypersensitive sites (DHSs). Fourth, the majority of this heritability arises from loci not harboring currently known cardiovascular and renal genes. Recent meta-analyses of large-scale genome-wide association studies (GWASs) and admixture mapping have identified ~50 loci associated with BP and hypertension (HTN), and yet they account for only a small fraction (~2%) of the heritability.
format Online
Article
Text
id pubmed-4498745
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-44987452015-07-17 Direct Estimates of the Genomic Contributions to Blood Pressure Heritability within a Population-Based Cohort (ARIC) Salfati, Elias Morrison, Alanna C. Boerwinkle, Eric Chakravarti, Aravinda PLoS One Research Article Blood pressure (BP) is a heritable trait with multiple environmental and genetic contributions, with current heritability estimates from twin and family studies being ~ 40%. Here, we use genome-wide polymorphism data from the Atherosclerosis Risk in Communities (ARIC) study to estimate BP heritability from genomic relatedness among cohort members. We utilized data on 6,365,596 and 9,578,528 genotyped and imputed common single nucleotide polymorphisms (SNPs), in 8,901 European ancestry (EA) and 2,860 African Ancestry (AA) ARIC participants, respectively, and a mixed linear model for analyses, to make four observations. First, for BP measurements, the heritability is ~20%/~50% and ~27%/~39% for systolic (SBP)/diastolic (DBP) blood pressure in European and African ancestry individuals, respectively, consistent with prior studies. Second, common variants with allele frequency >10% recapitulate most of the BP heritability in these data. Third, the vast majority of BP heritability varies by chromosome, depending on its length, and is largely concentrated in noncoding genomic regions annotated as DNaseI hypersensitive sites (DHSs). Fourth, the majority of this heritability arises from loci not harboring currently known cardiovascular and renal genes. Recent meta-analyses of large-scale genome-wide association studies (GWASs) and admixture mapping have identified ~50 loci associated with BP and hypertension (HTN), and yet they account for only a small fraction (~2%) of the heritability. Public Library of Science 2015-07-10 /pmc/articles/PMC4498745/ /pubmed/26162070 http://dx.doi.org/10.1371/journal.pone.0133031 Text en © 2015 Salfati et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Salfati, Elias
Morrison, Alanna C.
Boerwinkle, Eric
Chakravarti, Aravinda
Direct Estimates of the Genomic Contributions to Blood Pressure Heritability within a Population-Based Cohort (ARIC)
title Direct Estimates of the Genomic Contributions to Blood Pressure Heritability within a Population-Based Cohort (ARIC)
title_full Direct Estimates of the Genomic Contributions to Blood Pressure Heritability within a Population-Based Cohort (ARIC)
title_fullStr Direct Estimates of the Genomic Contributions to Blood Pressure Heritability within a Population-Based Cohort (ARIC)
title_full_unstemmed Direct Estimates of the Genomic Contributions to Blood Pressure Heritability within a Population-Based Cohort (ARIC)
title_short Direct Estimates of the Genomic Contributions to Blood Pressure Heritability within a Population-Based Cohort (ARIC)
title_sort direct estimates of the genomic contributions to blood pressure heritability within a population-based cohort (aric)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4498745/
https://www.ncbi.nlm.nih.gov/pubmed/26162070
http://dx.doi.org/10.1371/journal.pone.0133031
work_keys_str_mv AT salfatielias directestimatesofthegenomiccontributionstobloodpressureheritabilitywithinapopulationbasedcohortaric
AT morrisonalannac directestimatesofthegenomiccontributionstobloodpressureheritabilitywithinapopulationbasedcohortaric
AT boerwinkleeric directestimatesofthegenomiccontributionstobloodpressureheritabilitywithinapopulationbasedcohortaric
AT chakravartiaravinda directestimatesofthegenomiccontributionstobloodpressureheritabilitywithinapopulationbasedcohortaric