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
Anup Kumar NairGopalakrishnapillai Anilkumar

Abstract

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. 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], P = 0.003, OR 0.81[0.71-0.93], and P = 0.001, OR 0.74[0.62-0.89] respectively). None of the SNPs in RBP4 and GLUT4 showed any association with type 2 diabetes. Haplotype analysis revealed that two common haplotypes H1 (111, P = 0.001, OR 1.23[1.08-1.40]) and...Continue Reading

References

Mar 1, 1992·Diabetes Care·R A DeFronzoE Ferrannini
Mar 1, 1992·Diabetes Care·A Consoli
Feb 11, 1988·Nucleic Acids Research·S A MillerH F Polesky
Feb 24, 2001·Cellular and Molecular Life Sciences : CMLS·A Novak, S Dedhar
Aug 28, 2001·Nucleic Acids Research·S YeI N Day
Oct 3, 2003·The Journal of Biological Chemistry·Saïd BendahhouLouis J Ptácek
Mar 7, 2006·Pharmacogenomics·Guang-Ji WangHong-Guang Xie
Jun 16, 2006·The New England Journal of Medicine·Timothy E GrahamBarbara B Kahn
Jul 21, 2006·The New England Journal of Medicine·Jose C FlorezUNKNOWN Diabetes Prevention Program Research Group
Dec 15, 2006·The Journal of Biological Chemistry·Donghui MaPaul A Welling
Apr 19, 2007·The Journal of Clinical Endocrinology and Metabolism·Kohzo TakebayashiToshihiko Inukai
Apr 28, 2007·Science·UNKNOWN Diabetes Genetics Initiative of Broad Institute of Harvard and MIT, Lund University, and Novartis Institutes of BioMedical RShaun Purcell
Aug 30, 2007·The Journal of Clinical Endocrinology and Metabolism·Isabelle AeberliMichael B Zimmermann
Dec 6, 2007·Pediatric Diabetes·Jonathan Shaw
Jan 18, 2008·Diabetic Medicine : a Journal of the British Diabetic Association·C HuK Xiang
Aug 20, 2008·Nature Genetics·Kazuki YasudaMasato Kasuga
Mar 18, 2010·The Journal of International Medical Research·Z-Z LiL Chen

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Citations

Aug 13, 2011·European Journal of Endocrinology·Primoz KotnikMartin Wabitsch
Dec 12, 2012·Biomarkers in Medicine·Nicola Santoro, Ram Weiss
Mar 4, 2011·Proceedings of the National Academy of Sciences of the United States of America·Daniel C BerryNoa Noy
Jun 6, 2012·Molecular and Cellular Biology·Daniel C BerryNoa Noy
Aug 13, 2015·Diabetes/metabolism Research and Reviews·Satoru KodamaHirohito Sone
Aug 8, 2015·Annals of Human Genetics·Raquel VillegasXiao Ou Shu
Jun 30, 2015·Endocrine Practice : Official Journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists·Gautam Kumar PandeyKuppan Gokulakrishnan
Jul 23, 2016·BioMed Research International·Han-Wei HuangYun-Xi Li
Jun 8, 2012·Endocrine Journal·Chen XiMasaaki Muramatsu
Jun 15, 2011·Diabetes Technology & Therapeutics·Dhanasekaran BodhiniViswanathan Mohan
Oct 6, 2015·Asian Pacific Journal of Cancer Prevention : APJCP·Sepideh JabbariKazem Parivar
Dec 5, 2020·Diabetes, Metabolic Syndrome and Obesity : Targets and Therapy·Anastasia BoaghiIonela Maria Pascanu
Feb 1, 2019·Pharmacology & Therapeutics·William S Blaner
May 7, 2021·Molecular and Cellular Endocrinology·Pamela A Nono Nankam, Matthias Blüher

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Methods Mentioned

BETA
genotyping
PCR
electrophoresis

Software Mentioned

Haploview
Variation Suite
SNP and

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