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


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.

SUBMITTER: Bhat KG 

PROVIDER: S-EPMC9360888 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

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Publications

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

Bhat Keshavamurthy Ganapathy KG   Guleria Vivek Singh VS   J Ratheesh Kumar RK   Rastogi Garima G   Sharma Varun V   Sharma Anuka A  

American journal of translational research 20220715 7


<h4>Aim</h4>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.<h4>Meth  ...[more]

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