Publication details
Genotype 3 nutrient association of common polymorphisms in obesity-related genes with food preferences and time structure of energy intake
| Authors | |
|---|---|
| Year of publication | 2009 |
| Type | Article in Periodical |
| Magazine / Source | British Journal of Nutrition |
| MU Faculty or unit | |
| Citation | |
| Field | Genetics and molecular biology |
| Keywords | Adipokine; polymorphism; obesity; dietary composition |
| Description | Individual dietary composition can either enhance or suppress the development of obesity and the selection and proportion of macronutrients in the diet seems to have a heritable component. In this study, we focused on dietary composition as the typical obesity-related trait and we investigated selected genetic variations in leptin (LEP), leptin receptor (LEPR), adiponectin (ADIPOQ), interleukin 6 (IL6) and proopiomelanocortin (POMC). The total of 409 individuals of Czech Caucasian origin were enrolled into this study and the 7-day food records were obtained from the study subjects along with selected anthropometric measurements. The LEP +19A/G polymorphism served as an independent predictor for BMI, % of body fat and skin fold thickness and significantly affected the time structure of the daily energy intake. The POMC RsaI polymorphism was associated with the % of body fat. ADIPOQ 45 T/G polymorphism was associated with the thickness of the subscapular skin fold. The LEPR Gln223Arg polymorphism was associated with multiple parameters, including diastolic blood pressure, meal sizes during the day and plasma adiponectin levels. In a separate analysis, sObR plasma levels and leptin/sObR ratio were significantly correlated with systolic blood pressure (beta = -0.66, p = 0.002; resp. beta = -1.23, p = 0.02) and sObR plasma levels also served as an independent predictor for diastolic blood pressure (beta = -0.50, p = 0.04). To conclude, we report common allelic variants associated with specific feeding behaviour and obesity-related anthropometric traits. Moreover, we identified allelic variants that significantly influence time structure of food intake. |