A Bioinformatics Approach to the Identification of Variants Associated with Type 1 and Type 2 Diabetes Mellitus that Reside in Functionally Validated miRNAs Binding Sites

Hamid Ghaedi, Milad Bastami, Mohammad Mehdi Jahani, Behnam Alipoor, Maryam Tabasinezhad, Omar Ghaderi, Ziba Nariman-Saleh-Fam, Reza Mirfakhraie, Abolfazl Movafagh, Mir Davood Omrani, Andrea Masotti

Research output: Contribution to journalArticle

Abstract

The present work is aimed at finding variants associated with Type 1 and Type 2 diabetes mellitus (DM) that reside in functionally validated miRNAs binding sites and that can have a functional role in determining diabetes and related pathologies. Using bioinformatics analyses we obtained a database of validated polymorphic miRNA binding sites which has been intersected with genes related to DM or to variants associated and/or in linkage disequilibrium (LD) with it and is reported in genome-wide association studies (GWAS). The workflow we followed allowed us to find variants associated with DM that also reside in functional miRNA binding sites. These data have been demonstrated to have a functional role by impairing the functions of genes implicated in biological processes linked to DM. In conclusion, our work emphasized the importance of SNPs located in miRNA binding sites. The results discussed in this work may constitute the basis of further works aimed at finding functional candidates and variants affecting protein structure and function, transcription factor binding sites, and non-coding epigenetic variants, contributing to widen the knowledge about the pathogenesis of this important disease.

Original languageEnglish
Pages (from-to)1-11
Number of pages11
JournalBiochemical Genetics
DOIs
Publication statusAccepted/In press - Jan 28 2016

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Keywords

  • Diabetes mellitus
  • Genome-wide association study
  • MicroRNA
  • Single nucleotide polymorphism
  • Target site

ASJC Scopus subject areas

  • Biochemistry
  • Genetics
  • Molecular Biology
  • Ecology, Evolution, Behavior and Systematics

Cite this

Ghaedi, H., Bastami, M., Jahani, M. M., Alipoor, B., Tabasinezhad, M., Ghaderi, O., Nariman-Saleh-Fam, Z., Mirfakhraie, R., Movafagh, A., Omrani, M. D., & Masotti, A. (Accepted/In press). A Bioinformatics Approach to the Identification of Variants Associated with Type 1 and Type 2 Diabetes Mellitus that Reside in Functionally Validated miRNAs Binding Sites. Biochemical Genetics, 1-11. https://doi.org/10.1007/s10528-016-9713-5