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Rare genetic variant analysis on blood pressure in related samples

The genetic variants associated with blood pressure identified so far explain only a small proportion of the total heritability of this trait. With recent advances in sequencing technology and statistical methodology, it becomes feasible to study the association between blood pressure and rare genet...

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Autores principales: Chen, Han, Choi, Seung Hoan, Hong, Jaeyoung, Lu, Chen, Milton, Jacqueline N, Allard, Catherine, Lacey, Sean M, Lin, Honghuang, Dupuis, Josée
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4143757/
https://www.ncbi.nlm.nih.gov/pubmed/25519320
http://dx.doi.org/10.1186/1753-6561-8-S1-S35
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author Chen, Han
Choi, Seung Hoan
Hong, Jaeyoung
Lu, Chen
Milton, Jacqueline N
Allard, Catherine
Lacey, Sean M
Lin, Honghuang
Dupuis, Josée
author_facet Chen, Han
Choi, Seung Hoan
Hong, Jaeyoung
Lu, Chen
Milton, Jacqueline N
Allard, Catherine
Lacey, Sean M
Lin, Honghuang
Dupuis, Josée
author_sort Chen, Han
collection PubMed
description The genetic variants associated with blood pressure identified so far explain only a small proportion of the total heritability of this trait. With recent advances in sequencing technology and statistical methodology, it becomes feasible to study the association between blood pressure and rare genetic variants. Using real baseline phenotype data and imputed dosage data from Genetic Analysis Workshop 18, we performed a candidate gene association analysis. We focused on 8 genes shown to be associated with either systolic or diastolic blood pressure to identify the association with both common and rare genetic variants, and then did a genome-wide rare-variant analysis on blood pressure. We performed association analysis for rare coding and splicing variants within each gene region and all rare variants in each sliding window, using either burden tests or sequence kernel association tests accounting for familial correlation. With a sample size of only 747, we failed to find any novel associated genetic loci. Consequently, we performed analyses on simulated data, with knowledge of the underlying simulating model, to evaluate the type I error rate and power for the methods used in real data analysis.
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spelling pubmed-41437572014-09-02 Rare genetic variant analysis on blood pressure in related samples Chen, Han Choi, Seung Hoan Hong, Jaeyoung Lu, Chen Milton, Jacqueline N Allard, Catherine Lacey, Sean M Lin, Honghuang Dupuis, Josée BMC Proc Proceedings The genetic variants associated with blood pressure identified so far explain only a small proportion of the total heritability of this trait. With recent advances in sequencing technology and statistical methodology, it becomes feasible to study the association between blood pressure and rare genetic variants. Using real baseline phenotype data and imputed dosage data from Genetic Analysis Workshop 18, we performed a candidate gene association analysis. We focused on 8 genes shown to be associated with either systolic or diastolic blood pressure to identify the association with both common and rare genetic variants, and then did a genome-wide rare-variant analysis on blood pressure. We performed association analysis for rare coding and splicing variants within each gene region and all rare variants in each sliding window, using either burden tests or sequence kernel association tests accounting for familial correlation. With a sample size of only 747, we failed to find any novel associated genetic loci. Consequently, we performed analyses on simulated data, with knowledge of the underlying simulating model, to evaluate the type I error rate and power for the methods used in real data analysis. BioMed Central 2014-06-17 /pmc/articles/PMC4143757/ /pubmed/25519320 http://dx.doi.org/10.1186/1753-6561-8-S1-S35 Text en Copyright © 2014 Chen et al.; 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
Chen, Han
Choi, Seung Hoan
Hong, Jaeyoung
Lu, Chen
Milton, Jacqueline N
Allard, Catherine
Lacey, Sean M
Lin, Honghuang
Dupuis, Josée
Rare genetic variant analysis on blood pressure in related samples
title Rare genetic variant analysis on blood pressure in related samples
title_full Rare genetic variant analysis on blood pressure in related samples
title_fullStr Rare genetic variant analysis on blood pressure in related samples
title_full_unstemmed Rare genetic variant analysis on blood pressure in related samples
title_short Rare genetic variant analysis on blood pressure in related samples
title_sort rare genetic variant analysis on blood pressure in related samples
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4143757/
https://www.ncbi.nlm.nih.gov/pubmed/25519320
http://dx.doi.org/10.1186/1753-6561-8-S1-S35
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