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Case-control analysis of SNPs in GLUT4, RBP4 and STRA6: Association of SNPs in STRA6 with type 2 diabetes in a south indian population

Publication Type : Journal Article

Publisher : PLoS ONE

Source : PLoS ONE, Volume 5, Number 7 (2010)

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Keywords : adult, aged, article, body mass, case control study, controlled study, diabetes mellitus, diabetogenesis, down regulation, ethnicity, female, gene expression, gene frequency, gene function, genetic analysis, genetic association, genetic predisposition, Genetic Predisposition to Disease, genetic risk, genetic variability, genetics, genotype, Glucose, glucose blood level, glucose transporter 4, Glucose Transporter Type 4, haplotype, Haplotypes, hemoglobin A1c, human, Humans, India, insulin resistance, major clinical study, male, membrane protein, Membrane Proteins, middle aged, non insulin dependent diabetes mellitus, onset age, Plasma, plasma retinol binding protein, polymerase chain reaction, Polymorphism, RBP4 protein, restriction fragment length polymorphism, retinol binding protein 4, Retinol-Binding Proteins, Single Nucleotide, single nucleotide polymorphism, SLC2A4 protein, stimulated by retinoic acid gene homolog 6, STRA6 protein, Tetra, Type 2, unclassified drug

Campus : Amritapuri

School : School of Engineering

Department : Electronics and Communication

Year : 2010

Abstract : {Background: The inverse relationship between GLUT4 and RBP4 expression is known to play a role in the pathogenesis of type 2 diabetes. Elevated levels of RBP4 were shown to cause insulin resistance in muscles and liver. Identification of STRA6 as a cell surface receptor for RBP4 provides further link in this axis and hence we analyzed SNPs in these three genes for association with type 2 diabetes in a South Indian population. Methodology/PrincipalFindings: Selected SNPs in the three genes were analyzed in a total of 2002 individuals belonging to Dravidian ethnicity, South India, by Tetra Primer ARMS PCR or RFLP PCR. Allele frequencies and genotype distribution were calculated in cases and controls and were analyzed for association by Chi-squared test and Logistic regression. Haplotype analysis was carried out for each gene by including all the markers in a single block. We observed a significant association of three SNPs, rs974456, rs736118, and rs4886578 in STRA6 with type 2 diabetes (P = 0.001, OR 0.79[0.69-0.91]

Cite this Research Publication : A. Ka Nair, Sugunan, Da, Kumar, Hb, and Anilkumar, Ga, “Case-control analysis of SNPs in GLUT4, RBP4 and STRA6: Association of SNPs in STRA6 with type 2 diabetes in a south indian population”, PLoS ONE, vol. 5, 2010.

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