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Analysis of Gene-Gene Interactions among Common Variants in Candidate Cardiovascular Genes in Coronary Artery Disease
OBJECTIVE: Only a small fraction of coronary artery disease (CAD) heritability has been explained by common variants identified to date. Interactions between genes of importance to cardiovascular regulation may account for some of the missing heritability of CAD. This study aimed to investigate the...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4320092/ https://www.ncbi.nlm.nih.gov/pubmed/25658981 http://dx.doi.org/10.1371/journal.pone.0117684 |
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author | Musameh, Muntaser D. Wang, William Y. S. Nelson, Christopher P. Lluís-Ganella, Carla Debiec, Radoslaw Subirana, Isaac Elosua, Roberto Balmforth, Anthony J. Ball, Stephen G. Hall, Alistair S. Kathiresan, Sekar Thompson, John R. Lucas, Gavin Samani, Nilesh J. Tomaszewski, Maciej |
author_facet | Musameh, Muntaser D. Wang, William Y. S. Nelson, Christopher P. Lluís-Ganella, Carla Debiec, Radoslaw Subirana, Isaac Elosua, Roberto Balmforth, Anthony J. Ball, Stephen G. Hall, Alistair S. Kathiresan, Sekar Thompson, John R. Lucas, Gavin Samani, Nilesh J. Tomaszewski, Maciej |
author_sort | Musameh, Muntaser D. |
collection | PubMed |
description | OBJECTIVE: Only a small fraction of coronary artery disease (CAD) heritability has been explained by common variants identified to date. Interactions between genes of importance to cardiovascular regulation may account for some of the missing heritability of CAD. This study aimed to investigate the role of gene-gene interactions in common variants in candidate cardiovascular genes in CAD. APPROACH AND RESULTS: 2,101 patients with CAD from the British Heart Foundation Family Heart Study and 2,426 CAD-free controls were included in the discovery cohort. All subjects were genotyped with the Illumina HumanCVD BeadChip enriched for genes and pathways relevant to the cardiovascular system and disease. The primary analysis in the discovery cohort examined pairwise interactions among 913 common (minor allele frequency >0.1) independent single nucleotide polymorphisms (SNPs) with at least nominal association with CAD in single locus analysis. A secondary exploratory interaction analysis was performed among all 11,332 independent common SNPs surviving quality control criteria. Replication analyses were conducted in 2,967 patients and 3,075 controls from the Myocardial Infarction Genetics Consortium. None of the interactions amongst 913 SNPs analysed in the primary analysis was statistically significant after correction for multiple testing (required P<1.2x10(-7)). Similarly, none of the pairwise gene-gene interactions in the secondary analysis reached statistical significance after correction for multiple testing (required P = 7.8x10(-10)). None of 36 suggestive interactions from the primary analysis or 31 interactions from the secondary analysis was significant in the replication cohort. Our study had 80% power to detect odds ratios > 1.7 for common variants in the primary analysis. CONCLUSIONS: Moderately large additive interactions between common SNPs in genes relevant to cardiovascular disease do not appear to play a major role in genetic predisposition to CAD. The role of genetic interactions amongst less common SNPs and with medium and small magnitude effects remain to be investigated. |
format | Online Article Text |
id | pubmed-4320092 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-43200922015-02-18 Analysis of Gene-Gene Interactions among Common Variants in Candidate Cardiovascular Genes in Coronary Artery Disease Musameh, Muntaser D. Wang, William Y. S. Nelson, Christopher P. Lluís-Ganella, Carla Debiec, Radoslaw Subirana, Isaac Elosua, Roberto Balmforth, Anthony J. Ball, Stephen G. Hall, Alistair S. Kathiresan, Sekar Thompson, John R. Lucas, Gavin Samani, Nilesh J. Tomaszewski, Maciej PLoS One Research Article OBJECTIVE: Only a small fraction of coronary artery disease (CAD) heritability has been explained by common variants identified to date. Interactions between genes of importance to cardiovascular regulation may account for some of the missing heritability of CAD. This study aimed to investigate the role of gene-gene interactions in common variants in candidate cardiovascular genes in CAD. APPROACH AND RESULTS: 2,101 patients with CAD from the British Heart Foundation Family Heart Study and 2,426 CAD-free controls were included in the discovery cohort. All subjects were genotyped with the Illumina HumanCVD BeadChip enriched for genes and pathways relevant to the cardiovascular system and disease. The primary analysis in the discovery cohort examined pairwise interactions among 913 common (minor allele frequency >0.1) independent single nucleotide polymorphisms (SNPs) with at least nominal association with CAD in single locus analysis. A secondary exploratory interaction analysis was performed among all 11,332 independent common SNPs surviving quality control criteria. Replication analyses were conducted in 2,967 patients and 3,075 controls from the Myocardial Infarction Genetics Consortium. None of the interactions amongst 913 SNPs analysed in the primary analysis was statistically significant after correction for multiple testing (required P<1.2x10(-7)). Similarly, none of the pairwise gene-gene interactions in the secondary analysis reached statistical significance after correction for multiple testing (required P = 7.8x10(-10)). None of 36 suggestive interactions from the primary analysis or 31 interactions from the secondary analysis was significant in the replication cohort. Our study had 80% power to detect odds ratios > 1.7 for common variants in the primary analysis. CONCLUSIONS: Moderately large additive interactions between common SNPs in genes relevant to cardiovascular disease do not appear to play a major role in genetic predisposition to CAD. The role of genetic interactions amongst less common SNPs and with medium and small magnitude effects remain to be investigated. Public Library of Science 2015-02-06 /pmc/articles/PMC4320092/ /pubmed/25658981 http://dx.doi.org/10.1371/journal.pone.0117684 Text en © 2015 Musameh 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 Musameh, Muntaser D. Wang, William Y. S. Nelson, Christopher P. Lluís-Ganella, Carla Debiec, Radoslaw Subirana, Isaac Elosua, Roberto Balmforth, Anthony J. Ball, Stephen G. Hall, Alistair S. Kathiresan, Sekar Thompson, John R. Lucas, Gavin Samani, Nilesh J. Tomaszewski, Maciej Analysis of Gene-Gene Interactions among Common Variants in Candidate Cardiovascular Genes in Coronary Artery Disease |
title | Analysis of Gene-Gene Interactions among Common Variants in Candidate Cardiovascular Genes in Coronary Artery Disease |
title_full | Analysis of Gene-Gene Interactions among Common Variants in Candidate Cardiovascular Genes in Coronary Artery Disease |
title_fullStr | Analysis of Gene-Gene Interactions among Common Variants in Candidate Cardiovascular Genes in Coronary Artery Disease |
title_full_unstemmed | Analysis of Gene-Gene Interactions among Common Variants in Candidate Cardiovascular Genes in Coronary Artery Disease |
title_short | Analysis of Gene-Gene Interactions among Common Variants in Candidate Cardiovascular Genes in Coronary Artery Disease |
title_sort | analysis of gene-gene interactions among common variants in candidate cardiovascular genes in coronary artery disease |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4320092/ https://www.ncbi.nlm.nih.gov/pubmed/25658981 http://dx.doi.org/10.1371/journal.pone.0117684 |
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