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Identifying rare variants associated with hypertension using the C-alpha test

Important rare variants may be near significantly associated common variants based on genetic distance. For this reason, we conducted an analysis of rare variants informed by tests of single-marker association at loci with common variants. We identified highly significant common variants within chro...

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Detalles Bibliográficos
Autores principales: Faino, Anna, Powell, Amber, Williams, André, Silveira, Lori
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4143634/
https://www.ncbi.nlm.nih.gov/pubmed/25519391
http://dx.doi.org/10.1186/1753-6561-8-S1-S56
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author Faino, Anna
Powell, Amber
Williams, André
Silveira, Lori
author_facet Faino, Anna
Powell, Amber
Williams, André
Silveira, Lori
author_sort Faino, Anna
collection PubMed
description Important rare variants may be near significantly associated common variants based on genetic distance. For this reason, we conducted an analysis of rare variants informed by tests of single-marker association at loci with common variants. We identified highly significant common variants within chromosome 3, as well as rare variants around these locations. Based on a predetermined window size, we then analyzed these rare variants with the C-alpha test to determine significant associations with hypertension. We found significant rare variants around common variants; however, the C-alpha test was sensitive to the specified window size. When comparing markers in genes to markers not in genes, we found that markers not in genes had more significant C-alpha test p values than markers in genes.
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spelling pubmed-41436342014-09-02 Identifying rare variants associated with hypertension using the C-alpha test Faino, Anna Powell, Amber Williams, André Silveira, Lori BMC Proc Proceedings Important rare variants may be near significantly associated common variants based on genetic distance. For this reason, we conducted an analysis of rare variants informed by tests of single-marker association at loci with common variants. We identified highly significant common variants within chromosome 3, as well as rare variants around these locations. Based on a predetermined window size, we then analyzed these rare variants with the C-alpha test to determine significant associations with hypertension. We found significant rare variants around common variants; however, the C-alpha test was sensitive to the specified window size. When comparing markers in genes to markers not in genes, we found that markers not in genes had more significant C-alpha test p values than markers in genes. BioMed Central 2014-06-17 /pmc/articles/PMC4143634/ /pubmed/25519391 http://dx.doi.org/10.1186/1753-6561-8-S1-S56 Text en Copyright © 2014 Faino 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
Faino, Anna
Powell, Amber
Williams, André
Silveira, Lori
Identifying rare variants associated with hypertension using the C-alpha test
title Identifying rare variants associated with hypertension using the C-alpha test
title_full Identifying rare variants associated with hypertension using the C-alpha test
title_fullStr Identifying rare variants associated with hypertension using the C-alpha test
title_full_unstemmed Identifying rare variants associated with hypertension using the C-alpha test
title_short Identifying rare variants associated with hypertension using the C-alpha test
title_sort identifying rare variants associated with hypertension using the c-alpha test
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4143634/
https://www.ncbi.nlm.nih.gov/pubmed/25519391
http://dx.doi.org/10.1186/1753-6561-8-S1-S56
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