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Journal of Cardiovascular and Thoracic Research
ISSN: 2008-5117      eISSN: 2008-6830  
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Article History
Submitted: 09 Jun 2015
Accepted: 16 Jan 2016
First published online: 14 Mar 2016

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J Cardiovasc Thorac Res. 2016;8(1):13-19 doi: 10.15171/jcvtr.2016.03
PMID:27069562        PMCID:PMC4827134

Association between type 2 diabetes mellitus, biochemical factors and UCSNP-43 polymorphisms of CALPIN-10 gene in patients with atherosclerosis of coronary artery disease in Southern Iran population

Original Article

Sara Senemar 1 * , Mohammad Reza Edraki 2, Samaneh Toosi 1

1 Human Genetics Research Group, Iranian Academic Center for Education & Research (ACECR), Fars Branch, Shiraz, Iran
2 Institute for Pediatric Cardiologist, Shiraz University of Medical Sciences, Shiraz, Iran

Introduction: Genetic variations in the calpain 10 gene (CALPIN-10), single nucleotide polymorphisms-43 (SNP-43), have increased the risk of type 2 diabete mellitus (T2DM) and coronary artery disease (CAD).
We studied the control and CAD groups for association of association of SNP-43 in the CALPIN-10 gene with T2DM and other risk factors of its complications. Overall, we examined 452 individuals, 224 patients with CAD and 228 healthy subjects for CAD in Iranian population. All the subjects were genotyped for the CALPIN-10, SNP-43 by polymorphism chain reaction (PCR) and restriction fragment length polymorphism (RFLP) methods, using biochemical methods to detect fasting glucose and other biochemical factors in the blood sample. We assessed frequencies of SNP-43 alleles between CAD and normal population groups.
In CAD patients, the GG allele was significantly associated with T2DM and GG allele was causing high level of glucose. But in control group, there was no relationship between them. Between clinical and biochemical risk factors with different genotypes there was no significant difference in the compared group.
The results of our study suggest no significant association between SNP-43 and the risk of T2DM. In other words, CALPIN-10 did not show a major diabetes gene pool capacity in normal southern Iranian population.

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