Correlation of Eight (8) Polymorphisms and Their Genotypes with the Risk Factors of Cardiovascular Disease in a Black Elderly Population.

Single nucleotide polymorphisms (SNPs) have been associated with the development of cardiovascular diseases (CVDs). This study correlated eight SNPs with the risk factors of CVD in a black elderly population. Genotyping was used to detect eight polymorphisms; rs675 (ApoA-IV), rs699 (Angiotensinogen (AGT)), rs247616 and rs1968905 (Cholesteryl ester transfer protein (CETP)), rs1801278 (Insulin receptor substrate 1 (IRS-1)), rs1805087 (Methylenetetrahydrofolate reductase (MTHFR)) and rs28362286 and rs67608943 (Proprotein convertase subtilisin/kexin type 9 (PCSK9)), as well as their genotypes in deoxyribonucleic acid (DNA) extracted from peripheral blood.

Development of a Structural Equation Model to Examine the Relationships between Genetic Polymorphisms and Cardiovascular Risk Factors.

Genome-wide association studies (GWASs) have been used to discover genetic polymorphisms that affect cardiovascular diseases (CVDs). Structural equation modelling (SEM) has been identified as a robust multivariate analysis tool. However, there is a paucity of research that has conducted SEM in African populations.