Cover image of the article: Genetic association of selected microsatellite with some metabolic syndrome components in Iranian Fars and Azari families

Image Credit:Koomesh

Genetic association of selected microsatellite with some metabolic syndrome components in Iranian Fars and Azari families

Authors

nima hosseinzadeh,*, Yadolah Mehrabi, Maryam Sadat Daneshpor, Hamid Alavi Majd, Fereidoun Azizi
*Corresponding Author: Email: nima_ingwie@yahoo.com

Koomesh:Vol. 13, issue 4; 405-413
Published online:May 25, 2012
Article type:Research Article
Received:Jul 08, 2011
Accepted:Jan 02, 2012
How to Cite:hosseinzadeh N, Mehrabi Y, Daneshpor MS, Alavi Majd H, Azizi F. Genetic association of selected microsatellite with some metabolic syndrome components in Iranian Fars and Azari families. koomesh. 2012;13(4):e152528. doi:

Abstract

    Introduction: Family base association test (FBAT) is widely used in study of genetic association of allele of genetic markers and different phenotype for locating genes locus. The present study attempted to investigate the genetic association of some candidate microsatellites with HDL-C, triglyceride, and waist in order to find chromosomal area locus of effective genes in metabolic syndromes in Persian and Azari people of Iran.   Materials and Methods: in this study 107 families were selected from participants in Tehran Lipid and Glucose Study. Each family had at least one member with metabolic syndrome (according to ATP III) and at least two members with reduced HDL-C level. The genetic association of HDL-C, triglyceride, and waist with some candidate microsatellites in chromosome 8, 11, 12, and 16 was studied using FBAT.   Results : the data covered 107 families consisting of 483 individuals. For Persian individuals, study of Chromosome 8 revealed significant association between D8S514 and HDL-C and between D8S1743 and triglyceride (P

Highlights

Copyright

© 2012, Author(s). This open-access article is available under the Creative Commons Attribution 4.0 (CC BY 4.0) International License (https://creativecommons.org/licenses/by/4.0/), which allows for unrestricted use, distribution, and reproduction in any medium, provided that the original work is properly cited.

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