Cargando…

Bivariate linear mixed model analysis to test joint associations of genetic variants on systolic and diastolic blood pressure

Genetic variants that predispose adults and the elderly to high blood pressure are largely unknown. We used a bivariate linear mixed model approach to jointly test the associations of common single-nucleotide polymorphisms with systolic and diastolic blood pressure using data from a genome-wide asso...

Descripción completa

Detalles Bibliográficos
Autores principales: Neupane, Binod, Beyene, Joseph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4143667/
https://www.ncbi.nlm.nih.gov/pubmed/25519403
http://dx.doi.org/10.1186/1753-6561-8-S1-S75
_version_ 1782331934661148672
author Neupane, Binod
Beyene, Joseph
author_facet Neupane, Binod
Beyene, Joseph
author_sort Neupane, Binod
collection PubMed
description Genetic variants that predispose adults and the elderly to high blood pressure are largely unknown. We used a bivariate linear mixed model approach to jointly test the associations of common single-nucleotide polymorphisms with systolic and diastolic blood pressure using data from a genome-wide association study consisting of genetic variants from chromosomes 3 and 9 and longitudinal measured phenotypes and environment variables from unrelated individuals of Mexican American ethnicity provided by the Genetic Analysis Workshop 18. Despite the small sample size of a maximum of 131 unrelated subjects, a few single-nucleotide polymorphisms appeared significant at the genome-wide level. Simulated data, which was also provided by Genetic Analysis Workshop 18 organizers, showed higher power of the bivariate approach over univariate analysis to detect the association of a selected single-nucleotide polymorphism with modest effect. This suggests that the bivariate approach to longitudinal data of jointly measured and correlated phenotypes can be a useful strategy to identify candidate single-nucleotide polymorphisms that deserve further investigation.
format Online
Article
Text
id pubmed-4143667
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-41436672014-09-02 Bivariate linear mixed model analysis to test joint associations of genetic variants on systolic and diastolic blood pressure Neupane, Binod Beyene, Joseph BMC Proc Proceedings Genetic variants that predispose adults and the elderly to high blood pressure are largely unknown. We used a bivariate linear mixed model approach to jointly test the associations of common single-nucleotide polymorphisms with systolic and diastolic blood pressure using data from a genome-wide association study consisting of genetic variants from chromosomes 3 and 9 and longitudinal measured phenotypes and environment variables from unrelated individuals of Mexican American ethnicity provided by the Genetic Analysis Workshop 18. Despite the small sample size of a maximum of 131 unrelated subjects, a few single-nucleotide polymorphisms appeared significant at the genome-wide level. Simulated data, which was also provided by Genetic Analysis Workshop 18 organizers, showed higher power of the bivariate approach over univariate analysis to detect the association of a selected single-nucleotide polymorphism with modest effect. This suggests that the bivariate approach to longitudinal data of jointly measured and correlated phenotypes can be a useful strategy to identify candidate single-nucleotide polymorphisms that deserve further investigation. BioMed Central 2014-06-17 /pmc/articles/PMC4143667/ /pubmed/25519403 http://dx.doi.org/10.1186/1753-6561-8-S1-S75 Text en Copyright © 2014 Neupane and Beyene; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Proceedings
Neupane, Binod
Beyene, Joseph
Bivariate linear mixed model analysis to test joint associations of genetic variants on systolic and diastolic blood pressure
title Bivariate linear mixed model analysis to test joint associations of genetic variants on systolic and diastolic blood pressure
title_full Bivariate linear mixed model analysis to test joint associations of genetic variants on systolic and diastolic blood pressure
title_fullStr Bivariate linear mixed model analysis to test joint associations of genetic variants on systolic and diastolic blood pressure
title_full_unstemmed Bivariate linear mixed model analysis to test joint associations of genetic variants on systolic and diastolic blood pressure
title_short Bivariate linear mixed model analysis to test joint associations of genetic variants on systolic and diastolic blood pressure
title_sort bivariate linear mixed model analysis to test joint associations of genetic variants on systolic and diastolic blood pressure
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4143667/
https://www.ncbi.nlm.nih.gov/pubmed/25519403
http://dx.doi.org/10.1186/1753-6561-8-S1-S75
work_keys_str_mv AT neupanebinod bivariatelinearmixedmodelanalysistotestjointassociationsofgeneticvariantsonsystolicanddiastolicbloodpressure
AT beyenejoseph bivariatelinearmixedmodelanalysistotestjointassociationsofgeneticvariantsonsystolicanddiastolicbloodpressure