Association of adiponectin gene (ADIPOQ) polymorphisms with measures of obesity in Nigerian young adults

  • Olusegun E. Ogundele
  • Khalid O. Adekoya
  • Abraham A.A. Osinubi
  • Awoyemi A. Awofala
  • Bola O. Oboh
Keywords: Obesity, rs2241766, rs1501299, rs266729, Nigeria

Abstract

Background: The association of obesity with adiponectin gene has been reported in different populations with various inconsistencies. Data from Nigeria is very scanty on the association.

Aim: We investigated possible associations of adiponectin gene (ADIPOQ) single nucleotide polymorphisms (SNPs) rs2241766 (+45T>G in exon 2), rs266729 (-11377C>G in promoter) and rs1501299 (+276G>T in intron 2) with body mass index (BMI), waist circumference (WC) and hip circumference (HC), in our cross-sectional study.

Subjects and methods: SNPs in ADIPOQ were genotyped in 107 subjects (81 females, 26 males; mean age 22.2 years) by Sequenom MassARRAY. Notably, rs2241766 was removed for not reaching Hardy-Weinberg equilibrium. BMI was calculated (kg/m2) while WC and HC were measured using standard procedures

Results: Linear regression showed that variant rs1501299 was not associated with BMI, WC or HC but rs266729 was associated with increased measures of obesity involving BMI (recessive model; beta coefficient [β], 12.85; 95% confidence interval [CI], 6.47, 19.24, codominant model; GG, b, 13.08; 95% CI, 6.71, 19.46, GC, β, 1.04; 95% CI, -0.60, 2.68 and log-additive model; β, 2.117; 95% CI, 0.55, 3.68), WC (recessive model; β, 22.17; 95% CI, 7.11, 37.23 and codominant model; GG, β, 21.857; 95% CI, 6.74, 36.98, GC, β, -1.459; 95% CI, -5.34, 2.43) and HC (recessive model; β, 33.56; 95% CI, 15.41, 51.70, codominant model; GG, β, 34.171; 95% CI, 16.04, 52.30, GC, β, 2.771; 95% CI, -1.79, 7.34 and log-additive model; β, 5.466; 95% CI, 1.14, 9.80).

Conclusion: This study in young Nigerian adults confirmed previously reported association of SNP -11377C>G with obesity measures in other populations.

Keywords: Obesity, rs2241766, rs1501299, rs266729, Nigeria

Published
2018-04-18
Section
Articles

Journal Identifiers


eISSN: 1110-8630