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Дата изменения: Wed Mar 13 15:37:16 2013
Дата индексирования: Thu Feb 27 20:50:45 2014
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THE ASSOCIATION ANALYSIS OF LIPID METABOLISM GENE POLYMORPHISMS WITH BMI, WAIST CIRCUMFERENCE AND BLOOD LIPIDOGRAMM PARAMETERS IN WOMEN O.S. Glotov1,2,3, I.V. Tarkovskaia1,3, E.U. Ditkina3, E. S. Vashukova1,2, A.S. Glotov1,2, T.E. Ivashchenko1,2 1 St-Petersburg State University, Saint-Petersburg, Russian Federation 2 FSBI «The D.O.Ott Research Institute of Obstetrics and Gynecology» NWB RAMS, SaintPetersburg, Russian Federation 3 Co.Ltd «BioGlot», Saint-Petersburg, Russian Federation ABSTRACT Using the PCR-RFLP method we have studied polymorphism of 36 genes involved in lipid metabolism in 212 women, residents of St. Petersburg, aged 18 to 77. We found an association of polymorphisms in several candidate genes with body mass index (BMI), waist circumference (WC) and total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C) and very low-density lipoprotein cholesterol (VLDL-C) levels. We proposed a logistic regression models for a primary assessment of these parameters in women based on corresponding genetic markers tests. We estimated the efficiency of these models on the basis of the adjusted determination coefficient (adjusted R2). The highest rates of adjusted R2 are received for the VLDL-C parameter (R2=0.101) with the smallest forecasting error (±0.21 mmol/litre) in comparison with an forecasting error of the BMI (± 4.1 kg/m2), WC (± 10.33 cm), TC (±0.95 mmol/litre) and the LDL-C levels (±0.83 mmol/litre). After the division of the group into premenopausal and postmenopausal women it emerged that adjusted R2 was higher in the group of postmenopausal women in comparison with the group of premenopausal women for all studied parameters: BMI (R2=0.44 and R2=0.043), WC (R2=0.38 and R2=0.098), TC (R2=0.32 and R2=0.143), LDL-C (R2=0.33 R2=0.112), VLDL-C (R2=0.43 and R2=0.043), respectively. Our results apparently indicate higher genetic determinacy of the VLDL-C in comparison with other parameters, and also indicate that after the menopause genes make more contribution to levels of studied parameters than environmental factors. Complimentarily, we performed Kendall's correlation analysis, which partially confirmed the association found with the linear regression model. Keywords: gene polymorphism, lipid metabolism, TC, LDL-C, VLDL-C, candidate genes, BMI, WC waist circumference, correlation, regression

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