Molecular Evaluation of MicroRNA-146 Gene Variability (rs2910164 C> G) and its Association with Increased Susceptibility to Coronary Artery Disease.

AIM: Apart from the modifiable risk factors, genetic factors are believed to influence the outcome of Coronary Artery Diseases (CAD). Under the genetic factors, miRNA polymorphisms, namely Hsa-miR-146a-5p (rs2910164) have become an important tool to study the mechanism that underlies the pathogenesis of this disease. Therefore, we investigated the association of miR-146a gene variations with susceptibility of coronary artery diseases. METHODOLOGY: This study was conducted on 100 CAD patients and 117 matched healthy individuals. Genotyping of the Hsa-miR-146a-5p C>G gene variation was performed by using Amplification Refractory Mutation System PCR method (ARMS-PCR). RESULTS: The distribution of Hsa-miR-146a-5p rs2910164 C>G genotypes observed between patients and controls was significantly different (P=0.048). Moreover, the frequency of G allele (fG) was found to be significantly higher among patients than in controls (0.36 vs. 0.25). Our findings showed that the Hsa-miR-146a-5p C>G variant was associated with an increased risk of CAD in codominant inheritance model CC vs. CG genotype (OR = 1.84, 95% CI, 1.02-3.31; p=0.040) and (OR = 3.18, 95% CI, 1.02-9.9; p=0.045) for CC vs. GG genotype in dominant inheritance model. Whereas the G allele significantly increased the risk of coronary artery disease (OR =1,81, 95% CI, 1.18-2.78; p=0.006) compared to C allele. Taken together, these results demonstrated that miR-146a/rs2910164 is associated with susceptibility to coronary artery disease, providing novel insights into the genetic etiology and underlying biology of coronary artery disease. CONCLUSION: Our findings indicated that Hsa-miR-146a-5p rs2910164 GG genotype and G allele are associated with increased susceptibility to Coronary Artery Disease. A larger sample size can be the key to progress in establishing the genetic co-relation of miRNA gene polymorphisms and cardiovascular diseases.

MicroRNA-224 (rs188519172 A>G) Gene Variability is Associated with a Decreased Susceptibility to Coronary Artery Disease: A Case-Control Study.

AIM: The microRNAs regulate the expression of multiple genes involved in diseases such as cancer, diabetes and cardiovascular disease. In this study, we have investigated the association between the miR-224 gene polymorphism (rs188519172A>G) and susceptibility of coronary artery disease CAD. METHODOLOGY: Hundred CAD patients and 100-matched healthy control were included. Genotyping of the miR-224 (rs188519172A>G) polymorphism was performed using Amplification refractory mutation system PCR method (ARMS-PCR). RESULTS: A significant difference was observed in the genotype distribution among CAD patients and healthy controls (P=0.018). The frequencies of all three genotypes GG, GA, AA reported in the patient's samples were 33%, 66% and 01%, and in the healthy controls samples, were 16%, 82% and 2% respectively. A multivariate analysis based on logistic regression was conducted for each group to estimate the association between miR-224 rs188519172 genotypes and risk to coronary artery disease. Results show that the miR-224 (rs188519172 A>G) polymorphism was associated with a decreased risk to CAD in a codominant model, GA genotype vs. GG (OR = 0.39 (95 % CI, 0.19-0.76), RR 0.58 (0.38-0.90, P=0.006). In the dominant model, (GA+AA vs. GG), there was also a significant association with the OR=0.38 (95 % CI (0.19-0.76), RR 0.58 (0.38-0.89), and P=0.006. Whereas, in the recessive model, (GG+GA vs. AA), there was no significant association of CAD with OR=0.49 (95% CI (0.044-5.54), RR 0.74 (0.33-1.68), and P=0.48. CONCLUSION: Our findings indicated that miR-224 (rs188519172) GA genotype is associated with a decreased susceptibility to CAD.

Potential Impact of MicroRNA-423 Gene Variability in Coronary Artery Disease.

AIM: Studies have evaluated the association of miRNA-423 C>A genotyping with the susceptibility to various diseases such cancers, atherosclerosis and inflammatory bowel disease but the results were contradictory. However, no studies have reported the association between miRNA-423 rs6505162 C>A polymorphism and susceptibility of coronary artery disease. MicroRNAs regulate expression of multiple genes involved in atherogenesis. Therefore, we investigated the association of microRNA-423C>T gene variations with susceptibility to coronary artery disease. METHODOLOGY: This study was conducted on 100 coronary artery disease patients and 117 matched healthy controls. The genotyping of the microRNA-423 rs6505162C>A was performed by using Amplification refractory mutation system PCR method (ARMS-PCR). RESULTS: A significant difference was observed in the genotype distribution among the coronary artery disease cases and sex-matched healthy controls (P=0.048). The frequencies of all three genotypes CC, CA, AA reported in the patient's samples were 55%, 41% and 4% and in the healthy controls samples were 55%, 41% and 4% respectively. Our findings showed that the microRNA-423 C>A variant was associated with an increased risk of coronary artery disease in codominant model (OR = 1.96, 95 % CI, 1.12-3.42; RR 1.35(1.05-1.75, p=0.017) of microRNA-423CA genotype and significant association in dominant model (OR 1.97, 95% CI (1.14-3.39), (CA+AA vs CC) and non-significant association for recessive model (OR=1.42, 95%CI=0.42-4.83, P=0.56, AA vs CC+CA).While, the A allele significantly increased the risk of coronary artery disease (OR =1.56, 95 % CI, 1.03-2.37; p=0.035) compared to C allele. Therefore, it was observed that more than 1.96, 1.97 and 1.56 fold increased risk of developing coronary artery disease. CONCLUSION: Our findings indicated that microRNA-423 CA genotype and A allele are associated with an increased susceptibility to Coronary artery disease.

Social stratification in the Sikh population of Punjab (India) has a genetic basis: evidence from serological and biochemical markers.

AIM OF THE STUDY: The present study was planned to assess whether social stratification in the Sikh population inhabiting the northwest border Indian state of Punjab has any genetic basis. SUBJECTS AND MATERIALS: Blood samples were collected randomly from a total of 2851 unrelated subjects belonging to 21 groups of two low-ranking Sikh scheduled caste populations, viz. Mazhabi and Ramdasi, and a high-ranking Jat Sikh caste population of Punjab. METHODS: The genetic profile of Sikh groups was investigated using a total of nine serobiochemical genetic markers, comprising two blood groups (ABO, RH(D)) and a battery of seven red cell enzyme polymorphisms (ADA, AK1, ESD, PGM1, GLO1, ACP1, GPI), following standard serological and biochemical laboratory protocols. Genetic structure was studied using original allele frequency data and statistical measures of heterozygosity, genic differentiation, genetic distance, and genetic admixture. RESULTS: Great heterogeneity was observed between Sikh scheduled caste and Jat Sikh populations, especially in the RH(D) blood group system, and distribution of ESD, ACP1, and PGM1 enzyme markers was also found to be significantly different between many of their groups. Genetic distance trees demonstrated little or no genetic affinities between Sikh scheduled caste and Jat Sikh populations; the Mazhabi and Ramdasi also showed little genetic relationship. Genetic admixture analysis suggested a higher element of autochthonous tribal extraction in the Ramdasi. CONCLUSIONS: The present study revealed much genetic heterogeneity in differently ranking Sikh caste populations of Punjab, mainly attributable to their different ethnic backgrounds, and provided a genetic basis to social stratification present in this religious community of Punjab, India.