Dietary patterns interact with chromosome 9p21 rs1333048 polymorphism on the risk of obesity and cardiovascular risk factors in apparently healthy Tehrani adults
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Gene-dietary patterns may contribute to determining body composition and related biochemical indices. The aim of this study was to evaluate interactions between rs1333048 polymorphism and major dietary patterns on body fat percentage, general and central obesity, and related biochemical measurements.
This cross-sectional study was conducted on 265 healthy Tehrani adults with mean age of 35 years (47.5% men, 52.5% women). Dietary patterns (DPs) were extracted by factor analysis. Bioelectrical impedance analysis was used for body analysis and rs1333048 was genotyped by the restriction fragment length polymorphism (PCR-RFLP) method.
Three DPs were extracted: restricted refined grains DP, legumes DP and healthy DP. AA genotype compared to CC genotype had greater odds for general obesity before (OR 3.14; 95% CI 1.008–9.60, P = 0.045) and after (OR 3.11; 95% CI 1.008–9.60, P = 0.048) adjusting for potential confounders. Individuals with AA genotype were more likely to be centrally obese before (OR 2.09; 95% CI 1.006–4.35, P = 0.048) and after (OR 2.63; 95% CI 1.12–6.17, P = 0.026) controlling for potential confounders. Significant interactions were observed between Legumes DP and rs1333048 SNP on waist circumference (P = 0.047), body fat % (BFP) (P = 0.048), hs-Crp (P = 0.042), BMI (P = 0.073), WHtR (P = 0.063) and odds for general obesity (P = 0.051). Following this DP reduced all these items for individuals with CC genotype, whereas increased them for people who carry CA or AA genotypes.
The findings indicate that there are significant associations between AA genotype of rs1333048 SNP and general and central obesity, and significant interaction between alleles of this SNP and major dietary patterns on the odds of general obesity, BFP, waist circumference, BMI, WHtR and hs-Crp.
KeywordsDiet Genetics Gene–environment interaction CDKN2B Chromosome 9 Obesity
Body fat percentage
Bioelectrical impedance analysis
Body mass index
Coronary artery disease
Cyclin-dependent kinase inhibitor 2B
Fasting blood sugar
Food frequency questionnaire
Fat mass and obesity associated gene
General linear model
Genome-wide association studies
High-density lipoprotein cholesterol
Healthy dietary pattern
High sensitivity C-reactive protein
International Physical Activity Questionnaire
Low-density lipoprotein receptor
Legumes dietary pattern
Melanocortin 4 receptor
Metabolic equivalent hours per week
Myosin heavy chain 7
Polymerase chain reaction
Quantitative polymerase chain reaction
Restriction fragment length polymorphism
Restricted refined grains dietary pattern
Subcutaneous adipose tissue
Single nucleotide polymorphism
Visceral adipose tissue
World Health Organization
We are thankful to all participants who took part in the study. This study was supported by a Grant from Tehran University of Medical Sciences (Grant ID: 93-04-161-27722).
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflicts of interest.
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