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

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. 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. 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<0.05]. For Azari individuals, association of D8S1132 and D8S1743 in Chromosome 8 to HDL-C was significant [P<0.05]. FBAT is robust against confounders such as misspecification of genetic models and population stratification. By finding microsatellites affecting HDL-C, triglyceride, and waist, the results found in this study may be helpful in determining predisposing genes in metabolic syndrome.

Analyzing of multivariate two levels Haseman-Elston regression and its application in genetic linkage of HDL-C, triglycerides and waist in 91 Iranian families with metabolic syndrome

Metabolic syndrome is a complex trait and its prevalence is 32% in Iranian population. The present study was conducted to find chromosomal area locus of HDL-C, triglycerides and waist with microsatellites and multivariate two level Haseman-Elston regressions in Iranian families with metabolic syndrome. 91 Iranian families [493 people] with at least one member with metabolic syndrome were selected from database of TLGS. We performed the Fragment Analysis technique to reproduce 12 different pieces from 4 chromosomal areas and to identify loci related to metabolic syndrome; both single and multi variable two level Haseman-Elston regression methods were used for traits of triglycerides, high-density lipoprotein and waist. We performed three single variable models, three double variable models and one triple variable model of these traits. 91 Iranian familes included 493 people, 234 males and 259 females. In single variable models: genetic linkage of HDL-C was significant with D11S1998 marker; genetic linkage of triglycerides was significant with Dl IS 1934 and D12S1632 markers. In double variable models genetic linkage of HDL-C and triglyceride, HDL-C and waist was significant with Dl IS 1998 marker and the genetic linkage of HDL-C and triglyceride, triglyceride and waist was significant with D8S1743 and D11S934 marker. In triple variable model genetic linkage of HDL-C, triglyceride and waist was significant with D8S1743 marker. These results showed when a trait is common in different models; the linked markers of them are also common. We concluded that the multivariate methods can detect linked loci of mixed disease better than single variable models and these results are useful for more future studies in Iranian population