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Genetic Variants Associated with Myocardial Infarction and the Risk Factors in Chinese Population

BACKGROUND: Recent genome-wide association (GWA) studies in Caucasians identified multiple single nucleotide polymorphisms (SNPs) associated with coronary artery disease (CAD). The associations of those SNPs with myocardial infarction (MI) have not been replicated in Asian populations. Among those p...

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Autores principales: Wang, Yongqin, Wang, Lefeng, Liu, Xin, Zhang, Yongzhi, Yu, Liping, Zhang, Fan, Liu, Lisheng, Cai, Jun, Yang, Xinchun, Wang, Xingyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3903528/
https://www.ncbi.nlm.nih.gov/pubmed/24475106
http://dx.doi.org/10.1371/journal.pone.0086332
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author Wang, Yongqin
Wang, Lefeng
Liu, Xin
Zhang, Yongzhi
Yu, Liping
Zhang, Fan
Liu, Lisheng
Cai, Jun
Yang, Xinchun
Wang, Xingyu
author_facet Wang, Yongqin
Wang, Lefeng
Liu, Xin
Zhang, Yongzhi
Yu, Liping
Zhang, Fan
Liu, Lisheng
Cai, Jun
Yang, Xinchun
Wang, Xingyu
author_sort Wang, Yongqin
collection PubMed
description BACKGROUND: Recent genome-wide association (GWA) studies in Caucasians identified multiple single nucleotide polymorphisms (SNPs) associated with coronary artery disease (CAD). The associations of those SNPs with myocardial infarction (MI) have not been replicated in Asian populations. Among those previously identified SNPs, we selected nine (rs10953541, rs1122608, rs12190287, rs12413409, rs1412444, rs1746048, rs3798220, rs4977574, rs579459, in or near genes 7q22, LDLR, TCF21, CYP17A1, LIPA, CXCL12, LPA, CDKN2A, ABO, respectively) because of the relatively high minor allele frequencies in Chinese individuals and tested the associations of the SNPs with MI and MI related risk factors in Chinese population. METHODS AND RESULTS: We conducted a case–control association study on a cohort of 2365 MI patients and 2678 unrelated controls from the Chinese population. Genotyping of 9 SNPs were performed by the TaqMan Real Time PCR method. After age, sex, and BMI adjustment, we observed the SNPs rs12190287, rs12413409, rs1412444, rs1746048 and rs4977574, were significantly associated with MI in additive models and rs12190287, rs12413409, rs4977574 were significantly associated with phenotypes of MI at the same time. We also found three SNPs rs1122608, rs3798220 and rs579459 were significantly associated with risk factors of MI, although they had no association with MI in Chinese population. CONCLUSION: Results of this study indicate that 5 SNPs were associated with MI and 3 SNPs were associated with associated with lipoprotein levels but not with MI in a Chinese population. The present study supports some CAD-related genes in Caucasian as important genes for MI in a Chinese population.
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spelling pubmed-39035282014-01-28 Genetic Variants Associated with Myocardial Infarction and the Risk Factors in Chinese Population Wang, Yongqin Wang, Lefeng Liu, Xin Zhang, Yongzhi Yu, Liping Zhang, Fan Liu, Lisheng Cai, Jun Yang, Xinchun Wang, Xingyu PLoS One Research Article BACKGROUND: Recent genome-wide association (GWA) studies in Caucasians identified multiple single nucleotide polymorphisms (SNPs) associated with coronary artery disease (CAD). The associations of those SNPs with myocardial infarction (MI) have not been replicated in Asian populations. Among those previously identified SNPs, we selected nine (rs10953541, rs1122608, rs12190287, rs12413409, rs1412444, rs1746048, rs3798220, rs4977574, rs579459, in or near genes 7q22, LDLR, TCF21, CYP17A1, LIPA, CXCL12, LPA, CDKN2A, ABO, respectively) because of the relatively high minor allele frequencies in Chinese individuals and tested the associations of the SNPs with MI and MI related risk factors in Chinese population. METHODS AND RESULTS: We conducted a case–control association study on a cohort of 2365 MI patients and 2678 unrelated controls from the Chinese population. Genotyping of 9 SNPs were performed by the TaqMan Real Time PCR method. After age, sex, and BMI adjustment, we observed the SNPs rs12190287, rs12413409, rs1412444, rs1746048 and rs4977574, were significantly associated with MI in additive models and rs12190287, rs12413409, rs4977574 were significantly associated with phenotypes of MI at the same time. We also found three SNPs rs1122608, rs3798220 and rs579459 were significantly associated with risk factors of MI, although they had no association with MI in Chinese population. CONCLUSION: Results of this study indicate that 5 SNPs were associated with MI and 3 SNPs were associated with associated with lipoprotein levels but not with MI in a Chinese population. The present study supports some CAD-related genes in Caucasian as important genes for MI in a Chinese population. Public Library of Science 2014-01-27 /pmc/articles/PMC3903528/ /pubmed/24475106 http://dx.doi.org/10.1371/journal.pone.0086332 Text en © 2014 Wang 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
Wang, Yongqin
Wang, Lefeng
Liu, Xin
Zhang, Yongzhi
Yu, Liping
Zhang, Fan
Liu, Lisheng
Cai, Jun
Yang, Xinchun
Wang, Xingyu
Genetic Variants Associated with Myocardial Infarction and the Risk Factors in Chinese Population
title Genetic Variants Associated with Myocardial Infarction and the Risk Factors in Chinese Population
title_full Genetic Variants Associated with Myocardial Infarction and the Risk Factors in Chinese Population
title_fullStr Genetic Variants Associated with Myocardial Infarction and the Risk Factors in Chinese Population
title_full_unstemmed Genetic Variants Associated with Myocardial Infarction and the Risk Factors in Chinese Population
title_short Genetic Variants Associated with Myocardial Infarction and the Risk Factors in Chinese Population
title_sort genetic variants associated with myocardial infarction and the risk factors in chinese population
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3903528/
https://www.ncbi.nlm.nih.gov/pubmed/24475106
http://dx.doi.org/10.1371/journal.pone.0086332
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