Association of rs1122608 with Coronary Artery Disease and Lipid Profile: A Meta-analysis

Association between Apo B, LDL-R and PCSK9 gene polymorphisms with coronary artery diseases in Egyptians

BACKGROUND

Many studies have focused on the significance of lipid regulatory genes in the pathophysiology of Coronary artery disease (CAD). ApoB XbaI (rs693) and EcoRI (rs1042031) single nucleoid polymorphisms (SNPs) were investigated to detect whether they are risk factors for CAD. Till now, this association remains uncertain. SMARCA4 (rs1122608) SNP has directly related to dyslipidemia. Loss of function mutations (LOF) in PCSK9 result in a reduction in LDL cholesterol and are associated with protection from the development of CAD.

METHODS

This study was conducted on 54 CAD patients who were admitted at Internal Medicine Specialized Hospital (Cardiology Department) and 47 healthy controls. Peripheral blood samples were taken from both groups. DNA was extracted from EDTA-blood samples, then PCR- RFLP for ApoB XbaI (rs693) and EcoRI (rs1042031), SMARCA4 (rs1122608) and PCSK9 (rs505151) SNPs was done.

RESULTS

No statistically significant difference was found between patients and controls as regard EcoRI SNP. XbaI (rs693) X + X + genotype was significantly higher in control group (P = 0.0355). SMARCA4 (TT, GT + TT) genotypes, and T allele (P < 0.001); PCSK9 AG genotype and G allele (P = 0.027 and 0.032 respectively) were more frequent in CAD patients than controls.

CONCLUSION

SMARCA4 (rs1122608) and PCSK9 (rs505151) SNPs are significantly accompanying with the risk of CAD development in the Egyptian population. X + X + genotype appeared to have a protective effect against CAD. However, no observed association between EcoRI (rs1042031) and the risk of CAD development was found.

LDL-receptor gene polymorphism as a predictor of coronary artery disease: an Egyptian pilot study: relation to lipid profile and angiographic findings

BACKGROUND

Coronary artery disease (CAD) is the main cause of death in Egypt. Many LDL-R gene locus single nucleotide polymorphisms (SNP) are found to be associated with the risk of CAD. This research aimed to assess the allelic and genotypic frequencies of rs1122608 SNP and their association with the extent of vessel affection and lipid profile in a population of Egyptians.100 CAD patients and 100 healthy controls of Egyptians were included. PCR-RFLP was used to genotype rs1122608 SNPs.

RESULTS

Significantly higher proportion of 'T' allele among patient (risk allele). This association is of low strength (ϕ lies between 0.1 and 0.3). A participant with 'T' allele has 1.95 times higher odds to exhibit CAD versus a participant with 'G' allele. Significantly higher proportion of 'T/T' genotype among cases versus control (risk genotype). This association is of low strength (Cramer's V lies between 0.1 and 0.3). A participant with 'T/T' genotype has 4.5 times higher odds to exhibit CAD versus a participant with 'G/G'. Gensini score showed no significant association with rs1122608 genotypes (p = 0.863).

CONCLUSIONS

The mutant GT and TT genotypes and minor T allele of rs1122608 were positively correlated with CAD and considered as independent risk factors for CAD.

Single Nucleotide Polymorphisms' Causal Structure Robustness within Coronary Artery Disease Patients

An ever-growing amount of accumulated data has materialized in several scientific fields, due to recent technological progress. New challenges emerge in exploiting these data and utilizing the valuable available information. Causal models are a powerful tool that can be employed towards this aim, by unveiling the structure of causal relationships between different variables. The causal structure may avail experts to better understand relationships, or even uncover new knowledge. Based on 963 patients with coronary artery disease, the robustness of the causal structure of single nucleotide polymorphisms was assessed, taking into account the value of the Syntax Score, an index that evaluates the complexity of the disease. The causal structure was investigated, both locally and globally, under different levels of intervention, reflected in the number of patients that were randomly excluded from the original datasets corresponding to two categories of the Syntax Score, zero and positive. It is shown that the causal structure of single nucleotide polymorphisms was more robust under milder interventions, whereas in the case of stronger interventions, the impact increased. The local causal structure around the Syntax Score was studied in the case of a positive Syntax Score, and it was found to be resilient, even when the intervention was strong. Consequently, employing causal models in this context may increase the understanding of the biological aspects of coronary artery disease.