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Novel Genes Affecting Blood Pressure Detected Via Gene-Based Association Analysis
Hypertension is a common disorder and one of the most important risk factors for cardiovascular diseases. The aim of this study was to identify more novel genes for blood pressure. Based on the publically available SNP-based P values of a meta-analysis of genome-wide association studies, we performe...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4478534/ https://www.ncbi.nlm.nih.gov/pubmed/25820152 http://dx.doi.org/10.1534/g3.115.016915 |
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author | Zhang, Huan Mo, Xing-Bo Xu, Tan Bu, Xiao-Qing Lei, Shu-Feng Zhang, Yong-Hong |
author_facet | Zhang, Huan Mo, Xing-Bo Xu, Tan Bu, Xiao-Qing Lei, Shu-Feng Zhang, Yong-Hong |
author_sort | Zhang, Huan |
collection | PubMed |
description | Hypertension is a common disorder and one of the most important risk factors for cardiovascular diseases. The aim of this study was to identify more novel genes for blood pressure. Based on the publically available SNP-based P values of a meta-analysis of genome-wide association studies, we performed an initial gene-based association study in a total of 69,395 individuals. To find supplementary evidence to support the importance of the identified genes, we performed GRAIL (gene relationships among implicated loci) analysis, protein–protein interaction analysis, functional annotation clustering analysis, coronary artery disease association analysis, and other bioinformatics analyses. Approximately 22,129 genes on the human genome were analyzed for blood pressure in gene-based association analysis. A total of 43 genes were statistically significant after Bonferroni correction (P < 2.3×10(−6)). The evidence obtained from the analyses of this study suggested the importance of ID1 (P = 2.0×10(−6)), CYP17A1 (P = 4.58×10(−9)), ATXN2 (P = 1.07×10(−13)), CLCN6 (P = 4.79×10(−9)), FURIN (P = 1.38×10(−6)), HECTD4 (P = 3.95×10(−11)), NPPA (P = 1.60×10(−6)), and PTPN11 (P = 8.89×10(−10)) in the genetic basis of blood pressure. The present study found some important genes associated with blood pressure, which might provide insights into the genetic architecture of hypertension. |
format | Online Article Text |
id | pubmed-4478534 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Genetics Society of America |
record_format | MEDLINE/PubMed |
spelling | pubmed-44785342015-06-29 Novel Genes Affecting Blood Pressure Detected Via Gene-Based Association Analysis Zhang, Huan Mo, Xing-Bo Xu, Tan Bu, Xiao-Qing Lei, Shu-Feng Zhang, Yong-Hong G3 (Bethesda) Investigations Hypertension is a common disorder and one of the most important risk factors for cardiovascular diseases. The aim of this study was to identify more novel genes for blood pressure. Based on the publically available SNP-based P values of a meta-analysis of genome-wide association studies, we performed an initial gene-based association study in a total of 69,395 individuals. To find supplementary evidence to support the importance of the identified genes, we performed GRAIL (gene relationships among implicated loci) analysis, protein–protein interaction analysis, functional annotation clustering analysis, coronary artery disease association analysis, and other bioinformatics analyses. Approximately 22,129 genes on the human genome were analyzed for blood pressure in gene-based association analysis. A total of 43 genes were statistically significant after Bonferroni correction (P < 2.3×10(−6)). The evidence obtained from the analyses of this study suggested the importance of ID1 (P = 2.0×10(−6)), CYP17A1 (P = 4.58×10(−9)), ATXN2 (P = 1.07×10(−13)), CLCN6 (P = 4.79×10(−9)), FURIN (P = 1.38×10(−6)), HECTD4 (P = 3.95×10(−11)), NPPA (P = 1.60×10(−6)), and PTPN11 (P = 8.89×10(−10)) in the genetic basis of blood pressure. The present study found some important genes associated with blood pressure, which might provide insights into the genetic architecture of hypertension. Genetics Society of America 2015-03-26 /pmc/articles/PMC4478534/ /pubmed/25820152 http://dx.doi.org/10.1534/g3.115.016915 Text en Copyright © 2015 Zhang et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution Unported License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Investigations Zhang, Huan Mo, Xing-Bo Xu, Tan Bu, Xiao-Qing Lei, Shu-Feng Zhang, Yong-Hong Novel Genes Affecting Blood Pressure Detected Via Gene-Based Association Analysis |
title | Novel Genes Affecting Blood Pressure Detected Via Gene-Based Association Analysis |
title_full | Novel Genes Affecting Blood Pressure Detected Via Gene-Based Association Analysis |
title_fullStr | Novel Genes Affecting Blood Pressure Detected Via Gene-Based Association Analysis |
title_full_unstemmed | Novel Genes Affecting Blood Pressure Detected Via Gene-Based Association Analysis |
title_short | Novel Genes Affecting Blood Pressure Detected Via Gene-Based Association Analysis |
title_sort | novel genes affecting blood pressure detected via gene-based association analysis |
topic | Investigations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4478534/ https://www.ncbi.nlm.nih.gov/pubmed/25820152 http://dx.doi.org/10.1534/g3.115.016915 |
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