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c.*84G>A Mutation in CETP Is Associated with Coronary Artery Disease in South Indians
BACKGROUND: Coronary artery disease (CAD) is one of the leading causes of mortality worldwide. It is a multi-factorial disease and several studies have demonstrated that the genetic factors play a major role in CAD. Although variations in cholesteryl ester transfer protein (CETP) gene are reported t...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5074517/ https://www.ncbi.nlm.nih.gov/pubmed/27768712 http://dx.doi.org/10.1371/journal.pone.0164151 |
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author | Ganesan, Mala Nizamuddin, Sheikh Katkam, Shiva Krishna Kumaraswami, Konda Hosad, Uday Kumar Lobo, Limmy Loret Kutala, Vijay Kumar Thangaraj, Kumarasamy |
author_facet | Ganesan, Mala Nizamuddin, Sheikh Katkam, Shiva Krishna Kumaraswami, Konda Hosad, Uday Kumar Lobo, Limmy Loret Kutala, Vijay Kumar Thangaraj, Kumarasamy |
author_sort | Ganesan, Mala |
collection | PubMed |
description | BACKGROUND: Coronary artery disease (CAD) is one of the leading causes of mortality worldwide. It is a multi-factorial disease and several studies have demonstrated that the genetic factors play a major role in CAD. Although variations in cholesteryl ester transfer protein (CETP) gene are reported to be associated with CAD, this gene has not been studied in South Indian populations. Hence we evaluated the CETP gene variations in CAD patients of South Indian origin. METHODS: We sequenced all the exons, exon-intron boundaries and UTRs of CETP in 323 CAD patients along with 300 ethnically and age matched controls. Variations observed in CETP were subjected to various statistical analyses. RESULTS AND DISCUSSION: Our analysis revealed a total of 13 variations. Of these, one3’UTRvariant rs1801706 (c.*84G>A) was significantly associated with CAD (genotype association test: OR = 2.16, 95% CI: 1.50–3.10, p = 1.88x10(-5) and allelic association test: OR = 1.92, 95% CI: 1.40–2.63, p = 2.57x10(-5)). Mutant allele “A” was observed to influence the higher concentration of mRNA (p = 7.09×10(−3), R(2) = 0.029 and β = 0.2163). Since expression of CETP has been shown to be positively correlated with the risk of CAD, higher frequency of “A” allele (patients: 22.69% vs.controls: 13%) reveals that c.*84G>A is a risk factor for CAD in South Indians. CONCLUSIONS: This is the first report of the CETP gene among South Indians CAD patients. Our results suggest that rs1801706 (c.*84G>A) is a risk factor for CAD in South Indian population. |
format | Online Article Text |
id | pubmed-5074517 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-50745172016-11-04 c.*84G>A Mutation in CETP Is Associated with Coronary Artery Disease in South Indians Ganesan, Mala Nizamuddin, Sheikh Katkam, Shiva Krishna Kumaraswami, Konda Hosad, Uday Kumar Lobo, Limmy Loret Kutala, Vijay Kumar Thangaraj, Kumarasamy PLoS One Research Article BACKGROUND: Coronary artery disease (CAD) is one of the leading causes of mortality worldwide. It is a multi-factorial disease and several studies have demonstrated that the genetic factors play a major role in CAD. Although variations in cholesteryl ester transfer protein (CETP) gene are reported to be associated with CAD, this gene has not been studied in South Indian populations. Hence we evaluated the CETP gene variations in CAD patients of South Indian origin. METHODS: We sequenced all the exons, exon-intron boundaries and UTRs of CETP in 323 CAD patients along with 300 ethnically and age matched controls. Variations observed in CETP were subjected to various statistical analyses. RESULTS AND DISCUSSION: Our analysis revealed a total of 13 variations. Of these, one3’UTRvariant rs1801706 (c.*84G>A) was significantly associated with CAD (genotype association test: OR = 2.16, 95% CI: 1.50–3.10, p = 1.88x10(-5) and allelic association test: OR = 1.92, 95% CI: 1.40–2.63, p = 2.57x10(-5)). Mutant allele “A” was observed to influence the higher concentration of mRNA (p = 7.09×10(−3), R(2) = 0.029 and β = 0.2163). Since expression of CETP has been shown to be positively correlated with the risk of CAD, higher frequency of “A” allele (patients: 22.69% vs.controls: 13%) reveals that c.*84G>A is a risk factor for CAD in South Indians. CONCLUSIONS: This is the first report of the CETP gene among South Indians CAD patients. Our results suggest that rs1801706 (c.*84G>A) is a risk factor for CAD in South Indian population. Public Library of Science 2016-10-21 /pmc/articles/PMC5074517/ /pubmed/27768712 http://dx.doi.org/10.1371/journal.pone.0164151 Text en © 2016 Ganesan 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Ganesan, Mala Nizamuddin, Sheikh Katkam, Shiva Krishna Kumaraswami, Konda Hosad, Uday Kumar Lobo, Limmy Loret Kutala, Vijay Kumar Thangaraj, Kumarasamy c.*84G>A Mutation in CETP Is Associated with Coronary Artery Disease in South Indians |
title | c.*84G>A Mutation in CETP Is Associated with Coronary Artery Disease in South Indians |
title_full | c.*84G>A Mutation in CETP Is Associated with Coronary Artery Disease in South Indians |
title_fullStr | c.*84G>A Mutation in CETP Is Associated with Coronary Artery Disease in South Indians |
title_full_unstemmed | c.*84G>A Mutation in CETP Is Associated with Coronary Artery Disease in South Indians |
title_short | c.*84G>A Mutation in CETP Is Associated with Coronary Artery Disease in South Indians |
title_sort | c.*84g>a mutation in cetp is associated with coronary artery disease in south indians |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5074517/ https://www.ncbi.nlm.nih.gov/pubmed/27768712 http://dx.doi.org/10.1371/journal.pone.0164151 |
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