DOI: 10.4103/aam.aam_1111_26 ISSN: 1596-3519

Influence of Pharmacogenomic Variants on Glycemic Control in Type 2 Diabetes Mellitus: An Exploratory Association Study

Ipseeta Ray Mohanty, Shouvik Ganguly, Sandeep Rai

Abstract

Background:

Inter-individual variability in glycemic control among patients with type 2 diabetes mellitus (T2DM) may partly be explained by pharmacogenomic differences affecting antidiabetic drug response. This study investigated the association of pharmacogenomic variants with glycemic control and their potential role in personalized diabetes management.

Methodology:

Thirty-two pharmacogenomically relevant single nucleotide polymorphisms (SNPs) involved in metformin transport, insulin secretion, glucose metabolism, drug metabolism, and therapeutic response were analyzed using microarray-derived genotype data following standard quality control procedures. Associations between individual SNPs and glycemic control status were evaluated using logistic regression to estimate odds ratios (ORs) with 95% confidence intervals (CIs). Multiple testing was addressed using the Benjamini–Hochberg false discovery rate (FDR) correction.

Results:

None of the evaluated variants remained statistically significant after FDR correction (FDR > 0.05). However, several SNPs demonstrated suggestive associations with glycemic control. The strongest risk association was observed for FTO rs9939609 (OR = 1.586, 95% CI: 0.936–2.688, P = 0.086), followed by SLC22A1 rs628031 (OR = 1.406), SLC22A2 rs316019 (OR = 1.370), and rs7439366 (OR = 1.525). Protective trends were observed for IRS1 rs1801278 (OR = 0.297), ADIPOQ rs2241766 (OR = 0.483), CYP3A4 rs2740574 (OR = 0.613), INSR rs1799817 (OR = 0.660), and ATM rs11212617 (OR = 0.726). Variants in metformin transporter genes (SLC22A1, SLC22A2, SLC47A1, and ATM) demonstrated effect sizes consistent with previously reported pharmacogenomic associations, whereas sulfonylurea-related variants (KCNJ11, ABCC8) showed minimal association with glycemic control.

Conclusion:

Although no pharmacogenomic variant achieved statistical significance after correction for multiple testing, several biologically plausible variants demonstrated suggestive associations with glycemic outcomes. These findings support further validation in larger cohorts and highlight the potential contribution of pharmacogenomics to precision medicine and individualized antidiabetic therapy in T2DM.

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