Genome-wide association analysis identified three novel loci in the BACH2, PRKG2, and KCNIP4 genes that were significantly associated with premature coronary artery disease in a Gujarati population.
Case-Control (n=214)
No
Are specific genetic loci (SNPs) associated with symptomatic premature coronary artery disease in an ethnolinguistic Gujarati population?
The identification of BACH2, PRKG2, and KCNIP4 as genetic loci associated with premature CAD in a Gujarati population provides potential targets for population-specific polygenic risk scores.
Effect estimate: OR 1021 (95% CI 50.49-16940)
p-value: p=3.348e-06
Non-communicable diseases, primarily Coronary Artery Diseases (CAD), are on the rise globally, with an increased ethnic predisposition towards Southeast Asian Population (SEAP) causing Premature CAD (PCAD). The current study aimed at genetic analysis of angiographically proven, symptomatic PCAD in an ethnolinguistic Gujarati group. This single-centre, cross-sectional, case control study was an underpowered, pilot study over 15 months, involving 22 cases of PCAD (without conventional risk factors) and 192 controls. After genotyping and quality control, additive model derived case control association analysis, Bonferroni correction (threshold p < 1.23E-07) and logistic regression analysis (using age, sex and Principal Components as covariates) were performed for analysis. Additive model derived 80 SNPs, further corrected by Bonferroni correction, showed 16 SNPs with strong statistical significance, which were further annotated to the genes. Three genes were consistently identified across all three models of analysis: BACH2, PRKG2 and KCNIP4, which were not only statistically significant (p < 5e-08), but also mapped to functional genomic regions, indicating a potentially clinical significance in the pathophysiology of PCAD in this population. BACH2 is seen to be associated with eosinophilia and coronary calcifications, PRKG2 with HCN and cardiac myocyte resting membrane potentials and KCNIP4 with hypertrophy and heart failure. This study provides new loci which may advance the knowledge of genetic predisposition to PCAD in the Gujarati SEAP. Larger multicentric study mediated confirmation and further incorporation into SEAP specific Polygenic Risk Score could predict PCAD in this population.
Pujara et al. (2026) conducted a case-control in Premature Coronary Artery Disease (n=214). Genotype (BACH2 rs2474881) vs. Controls was evaluated on Association with premature coronary artery disease (OR 1021, 95% CI 50.49-16940, p=3.348e-06). Genome-wide association analysis identified three novel loci in the BACH2, PRKG2, and KCNIP4 genes that were significantly associated with premature coronary artery disease in a Gujarati population.