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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.
- Source :
-
Biochemical genetics [Biochem Genet] 2016 Jun; Vol. 54 (3), pp. 211-221. Date of Electronic Publication: 2016 Jan 28. - Publication Year :
- 2016
-
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.
- Subjects :
- Binding Sites
Computational Biology methods
Databases, Genetic
Diabetes Mellitus, Type 1 metabolism
Diabetes Mellitus, Type 2 metabolism
Genetic Predisposition to Disease
Genome-Wide Association Study
Humans
MicroRNAs genetics
RNA, Messenger chemistry
RNA, Messenger metabolism
Diabetes Mellitus, Type 1 genetics
Diabetes Mellitus, Type 2 genetics
MicroRNAs metabolism
Polymorphism, Single Nucleotide
RNA, Messenger genetics
Subjects
Details
- Language :
- English
- ISSN :
- 1573-4927
- Volume :
- 54
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- Biochemical genetics
- Publication Type :
- Academic Journal
- Accession number :
- 26820452
- Full Text :
- https://doi.org/10.1007/s10528-016-9713-5