Genetic variants identified from GWAS for predisposition to type 2 diabetes predict sulfonylurea drug response

N. M. Phani, M. Vohra, P. Adhikari, S. K. Nagri, U. Shashikiran, S. C. D’Souza, P. R.R. Kalluri, K. Satyamoorthy, P. S. Rai

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Background: Several SNPs were identified through GWAS for their association with type 2 diabetes which has implications to pancreatic β-cell physiology. Objective: We aimed to study the role of risk alleles of TCF7L2, KCNJ11, CDKN2A, CDKAL1, IGF2BP2, SLC30A8 and KCNQ1 along with pharmacokinetic variants in response to sulfonylureas. Method: We performed a prospective study on 209 newly diagnosed subjects; treatment naive T2D subjects were recruited. Individuals were started with glibenclamide monotherapy and followed-up for 12 weeks. Genotyping was done, using PCR-RFLP and TETRA-ARMS PCR and confirmed by DNA sequencing. Results: In univariate regression analysis, KCNJ11 (rs5219) was only the predictor for glibenclamide treatment failure. Conclusion: The present data suggests a possible role of KCNJ11 gene in altered response to glibenclamide.

Original languageEnglish
Pages (from-to)580-586
Number of pages7
JournalCurrent Molecular Medicine
Volume17
Issue number8
DOIs
Publication statusPublished - 01-09-2017

All Science Journal Classification (ASJC) codes

  • Biochemistry
  • Molecular Medicine
  • Molecular Biology

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