Literature DB >> 18989534

The INSIG1 gene, not the INSIG2 gene, associated with coronary heart disease: tagSNPs and haplotype-based association study. The Beijing Atherosclerosis Study.

Xiaoli Liu1, Yun Li, Laiyuan Wang, Qi Zhao, Xiangfeng Lu, Jianfeng Huang, Zhongjie Fan, Dongfeng Gu.   

Abstract

Dyslipidemia, especially hypercholesterolemia, is a major risk factor of coronary heart disease (CHD). The insulin induced gene 1 (INSIG1) and insulin induced gene 2 (INSIG2) encode two proteins which mediate feedback control of cholesterol synthesis. We conducted a case-control study to investigate whether the common variants in INSIG genes were associated with CHD in Chinese Han population. Three single nucleotide polymorphisms (SNPs) of the INSIG1 gene and four SNPs of the INSIG2 gene were chosen as haplotype-tagging SNPs (htSNPs) and genotyped in 853 patients with CHD and 948 unrelated control subjects. Haplotype analysis showed that the haplotype Hap4 (TTA) of the INSIG1 gene significantly increased the risk of CHD (adjusted odds ratio [OR]1.59, 95% confidence interval [CI] 1.22-2.06, p = 0.0006), while the haplotype Hap3 (TGA) significantly decreased the risk of CHD (adjusted OR 0.74, 95%CI 0.60-0.92, p = 0.006) compared with the reference haplotype Hap1 (GGA). No significant associations were found between polymorphisms of INSIG2 gene and CHD. In addition, the single polymorphism analysis showed that rs9769826 of the INSIG1 gene was associated with glucose in controls. The G-allele (minor allele) carriers had higher glucose level (5.74 +/- 2.03 mM) than AA genotype carriers (5.45 +/- 1.37 mM, p = 0.015). The present study indicated that the INSIG1 gene, but not the INSIG2 gene, was associated with CHD in the Chinese population.

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Year:  2008        PMID: 18989534

Source DB:  PubMed          Journal:  Thromb Haemost        ISSN: 0340-6245            Impact factor:   5.249


  4 in total

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2.  Identification of Key Genes as Early Warning Signals of Acute Myocardial Infarction Based on Weighted Gene Correlation Network Analysis and Dynamic Network Biomarker Algorithm.

Authors:  Chenxi Song; Zheng Qiao; Luonan Chen; Jing Ge; Rui Zhang; Sheng Yuan; Xiaohui Bian; Chunyue Wang; Qianqian Liu; Lei Jia; Rui Fu; Kefei Dou
Journal:  Front Immunol       Date:  2022-06-20       Impact factor: 8.786

3.  Association of an INSIG2 obesity allele with cardiovascular phenotypes is gender and age dependent.

Authors:  Kimberly A Skelding; Glenn S Gerhard; Helen Vlachos; Faith Selzer; Sheryl F Kelsey; Xin Chu; Robert Erdman; David O Williams; Kevin E Kip
Journal:  BMC Cardiovasc Disord       Date:  2010-09-29       Impact factor: 2.298

Review 4.  Genetics of coronary artery disease and myocardial infarction.

Authors:  Xuming Dai; Szymon Wiernek; James P Evans; Marschall S Runge
Journal:  World J Cardiol       Date:  2016-01-26
  4 in total

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