Volume 14, Issue 4 (5-2015)                   ijdld 2015, 14(4): 225-234 | Back to browse issues page

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Daneshpour M S, Sedaghatikhayat B, Hedayati M, Azizi F. FROM GENOME TO GENE: A REVIEW OF GENES AND GENETIC VARIATIONS TO BE ASSOCIATED WITH METABOLIC SYNDROME . ijdld 2015; 14 (4) :225-234
URL: http://ijdld.tums.ac.ir/article-1-5397-en.html
1- 1. Cellular and Molecular Endocrine Research Center, Research Institute for endocrine sciences Shahid Beheshti University of Medical Sciences , daneshpour@yahoo.com
2- 1. Cellular and Molecular Endocrine Research Center, Research Institute for endocrine sciences Shahid Beheshti University of Medical Sciences
3- 2. Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences
Abstract:   (8096 Views)

Background: The prevalence of non-communicable disorders such as metabolic syndrome (MetS) is high in developing countries. Metabolic syndrome is a disorder of energy utilization and storage, diagnosed by a co-occurrence of three out of five of the following medical conditions: abdominal (central) obesity, elevated blood pressure, elevated fasting plasma glucose, high serum triglycerides, and low high-density cholesterol (HDL) levels. The present review aims to discover the genetic variant reported in association with MetS. Methods: The database for genotypes and phenotypes (dbGaP) and the database for genetic associations and human genome (HuGE navigator) were utilized in order to search for genes and their corresponding polymorphisms related to MetS. Additionally, an electronic literature search for other Iranian studies and the genetic aspect of TLGS was completed using PubMed. Results: For phenotype selection in PheGenI, 30 traits were chosen and after the analysis, 21 of them were in common results with MetS. After finding the common variation between traits and MetS, omitting the repeated SNPs, 173 variations were remained. Finally, results distinguished six of the most important genetic regions found to have strong association with MetS. Conclusion: Identifying major genes that are responsible for the metabolic syndrome may improve the medical care for treating individuals with metabolic syndrome, and eventually may lead to personalized medicine in which treatment is tailored genetically to the patient’s needs. The present candidate regions is a respectable start to replicate genetic studies in large affected Iranian individual which we hope leads us to improve our medical care in this field.

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Type of Study: Review | Subject: General
Received: 2015/08/19 | Accepted: 2015/08/19 | Published: 2015/08/19

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