Literature DB >> 35958505

Preliminary genome wide screening identifies new variants associated with coronary artery disease in Indian population.

Keshavamurthy Ganapathy Bhat1, Vivek Singh Guleria1, Ratheesh Kumar J1, Garima Rastogi2, Varun Sharma2, Anuka Sharma2.   

Abstract

AIM: Coronary artery disease (CAD) is a major health problem in developed and developing nations. Development of CAD involves a complex interaction between genetics and lifestyle factors. Individuals with high-risk genetic predisposition along with poor lifestyle are more inclined to the development of CAD. Advancement in genotyping technologies and increase in genome wide studies has provided a platform to identify new risk factors associated with CAD and associated complexities.
METHODOLOGY: In this study we performed genome wide screening in 76 well-defined CAD cases and 77 control samples in Indian population. Interestingly, new variants are identified in three genes viz, VLDLR, IFITM2 and C2CD4C.
RESULTS: The odds ratios observed for variant rs1869592 (VLDLR), rs1059091 (IFITMI) and rs7247159 (C2CD4C) were 2.6 (1.4-4.8 95% CI), 1.9 (95% CI 1.2-3.1) and 2.1 (1.2-3.7 95% CI), respectively with significant P value <0.01. These variants that are associated with pathogenesis of CAD were not previously reported in literature. Moreover, we anticipate that these variants will be further validated using a larger sample size. AJTR
Copyright © 2022.

Entities:  

Keywords:  GWAS; Indian population; association; coronary artery disease

Year:  2022        PMID: 35958505      PMCID: PMC9360888     

Source DB:  PubMed          Journal:  Am J Transl Res        ISSN: 1943-8141            Impact factor:   3.940


  42 in total

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Review 6.  Estimation and partition of heritability in human populations using whole-genome analysis methods.

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7.  Low Very low-Density Lipoprotein Cholesterol but High Very low-Density Lipoprotein Receptor mRNA Expression in Peripheral White Blood Cells: An Atherogenic Phenotype for Atherosclerosis in a Community-Based Population.

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8.  MassArray analysis of genomic susceptibility variants in ovarian cancer.

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9.  Genomewide association analysis of coronary artery disease.

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