Research Article

Association of ADRB2 rs1042713 with Obesity and Obesity-Related Phenotypes and Its Interaction with Dietary Fat in Modulating Glycaemic Indices in Malaysian Adults

Table 3

Genotype distribution and allele frequency of ADRB2 rs1042713 in insulin-resistant and non-insulin-resistant groups.

GenotypeHOMA < 1.7 HOMA ≥ 1.7 Unadjusted OR (95% CI) valueAdjusted OR (95% CI) value

Codominant model
AA21 (30.5%)9 (15.8%)11
AG33 (47.8%)30 (52.6%)2.12 (0.84–5.35)0.1112.31 (0.81–6.61)0.118
GG15 (21.7%)18 (31.6%)2.80 (1.0–7.91)0.0524.43 (1.31–15.0)0.016
Dominant model
AA21 (30.5%)9 (15.8%)11
AG + GG48 (69.5%)48 (84.2%)2.33 (0.97–5.61)0.0582.83 (1.04–7.70)0.042
Recessive model
AA + AG54 (78.3%)39 (68.4%)11
GG15 (21.7%)18 (31.6%)1.66 (0.75–3.70)0.2132.46 (0.96–6.27)0.060
Allele frequency
A75 (54.3%)48 (42.1%)
G63 (45.7%)66 (57.9%)

Odds ratios (ORs) with 95% confidence intervals (95% CIs) were estimated for each genotype by logistic regression to determine the risk of insulin resistance associated with ADRB2 rs1042713. was considered as significant. Adjusted for age, BMI, gender, physical activity status, smoking status, and alcohol consumption. Non-insulin-resistant and insulin-resistant groups were dichotomised using a cutoff of HOMA-IR ≥ 1.7 [22].