Identifying potential mirsnps in alzheimer’s disease: a bioinformatics approach

Fatemeh Radnia,1,* Zahra bahmanpour,2 Mona akbari,3 Babak emamalizadeh,4 Rana najafi,5 Zahra sadeghzadeh,6

1. Students Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran
2. Students Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran
3. department of medical biotechnology, golestan university of medical science
4. assistant professor, department of medical genetics, faculty of medicine, Tabriz university of medical science
5. student research commitee,golestan university of medical science
6. student research commitee, golestan university of medical science

Abstract

Introduction

: single nucleotide polymorphisms (snp) serve as genetic markers along the genome. snps in coding genes or target sites of mirnas known as (mir-snps) have gained great attention since any alterations in mirna function or expression, may lead to altered mrna and protein expression and susceptibility to common diseases. currently, there are many articles confirming the possible associations between mir-snps and diseases. however, the role of mir-snps has not been completely assumed in the progression of alzheimer’s disease (ad). our purpose was to predict mir-snps which might be significantly involved in ad through bioinformatics approach

Methods

In a broad study, mirnas and related genes were examined from previous studies and gad database, respectively. on the other hand, snps spoted in target site of mirnas were achieved from polymirts and mirdsnp databases. the results were investigated according to mirna: mrna: snps relation to evaluate their involvement in ad.

Results

Consequently, through in silico analysis some mir-snps such as mir-125b: abl1:rs115261107, mir-342-3p: abl1: rs1064153, mir-125b:srf: rs9395 were recognized which might be functional in pathogenesis of ad. noteworthy, rs1064153 was previously reported as a functional snp in cml and here we could confirm it as an ad-associated snp either, which makes it as a valuable choice for further studies.

Conclusion

In this study, bioinformatics methods could classify a number of novel snps within mirna binding sites of ad-related genes, which are predicted for the first time in association to ad and provides a potential direction for following experimental and verification research

Keywords

Mir-snps, in silico, alzheimer’s disease