Evaluating the relation of rs1801282 polymorphism in PPAR-γ gene with obesity in Tehran Lipid and Glucose Study (TLGS) participants

• Main Authors: Zahra Asghari Lalami, Ahmad Ebrahimi, Maryam-Sadat Daneshpour
• Format: Article
• Language: fas
• Published: Tehran University of Medical Sciences 2016-09-01
• Series: Tehran University Medical Journal
• Subjects: genetic; obesity; polymerase chain reaction; polymorphism; PPAR-gamma
• Online Access: http://tumj.tums.ac.ir/browse.php?a_code=A-10-25-5485&slc_lang=en&sid=1

Background: Obesity is one of the most important problems in developed countries and cause cardiovascular diseases, diabetes and hypertension. The complex phenotype influenced by both genetic and the environment factors. One of the most important genes which is effective in this phenotype is peroxisome proliferator-activated receptor gamma (PPAR-γ). This study was carried out of investigate the association of Pro12Ala (rs1801282) polymorphism in mentioned gene with obesity in Tehran Lipid and Glucose Study (TLGS). Methods: The present study done in September 2014 in Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences. For the present case-control study 239 subjects with excess weight and body mass index more than 30 kg/m2 as a case and 240 subjects with normal weight and body mass index less than 25 kg/m2 as a control were selected. The rs1801282 was proliferated, detected and genotyped using tetra-primer amplification refractory mutation system-polymerase chain reaction (ARMS-PCR) method. Results: The results indicated that there was significant association between the presence of risk allele G of rs1801282 and obesity disease in the TLGS population (P=0.000). Genotype and allelic frequencies of rs1801282 in patient and healthy group were: 55.2% and 23.8% for GG, 24.3% and 30.4% for GC, 20.5% and 45.8% for CC, 67% and 39% for G, 33% and 61% for C, respectively. Conclusion: The results of study indicated that the presence of G allele could be increase 1.7 the risk of obesity. These differences in patient and healthy group lead us to select this marker as a genetic marker to predict the risk of obesity. There are statistical differences between the distribution of mentioned polymorphism in Tehranian population and other populations. However, replicating the study in a larger population of Tehranian people with more affected cases is suggested to generalize the results of this study.