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

Table 2

Genotype distribution and allele frequency of ADRB2 rs1042713 in obese and nonobese groups.

Genotype	Overall	Χ^2 (Hardy–Weinberg)	Obese BMI ≥ 27.5	Nonobese BMI < 27.5	Unadjusted OR (95% CI)	value	Adjusted OR (95% CI)	value
Codominant model
AA	44 (24.7%)	0.36	19 (24.0%)	25 (25.2%)	1	—	1	—
AG	86 (48.3%)		41 (51.9%)	45 (45.5%)	1.20 (0.58–2.49)	0.627	1.26 (0.59–2.71)	0.548
GG	48 (27.0%)		19 (24.1%)	29 (29.3%)	0.86 (0.38–1.98)	0.726	0.94 (0.40–2.23)	0.884
Dominant model
AA	44 (24.7%)		19 (24.0%)	25 (25.2%)	1	—	1	—
AG + GG	134 (75.3%)		60 (76.0%)	74 (74.8%)	1.07 (0.54–2.12)	0.853	1.14 (0.56–2.33)	0.725
Recessive model
AA + AG	130 (73.0%)		60 (75.9%)	70 (70.7%)	1	—	1	—
GG	48 (27.0%)		19 (24.1%)	29 (29.3%)	0.76 (0.39–1.50)	0.434	0.80 (0.40–1.61)	0.538
Allele frequency
A	174 (48.9%)		79 (50.0%)	95 (48.0%)
G	182 (51.1%)		79 (50.0%)	103 (52.0%)

The agreement of genotype frequencies with Hardy–Weinberg equilibrium was tested by using the chi-squared test, with χ² < 3.841 considered as no deviation from Hardy–Weinberg equilibrium. Logistic regression was conducted to determine the risk of obesity associated with gene variants. Odds ratios (ORs) with 95% confidence intervals (95% CIs) were estimated for each genotype. Adjusted for age, gender, physical activity status, smoking status, and alcohol consumption. was considered significant.