The Computational Analysis Conducted on miRNA Target Sites in Association with SNPs at 3’UTR of ADHD-Implicated Genes

(E-pub Ahead of Print)

Author(s): Adel Abdi, Mina Zafarpiran, Zeinab Shirvani Farsani*.

Journal Name: Central Nervous System Agents in Medicinal Chemistry
(Formerly Current Medicinal Chemistry - Central Nervous System Agents)

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Abstract:

Background: Attention-deficit/hyperactivity disorder (ADHD) is a frequent chronic neuropsychiatric disorder in which different factors including environmental, genetic, and epigenetic factors play an important role in its pathogenesis. One of the effective epigenetic factors is recognized as MicroRNAs (miRNAs). On the other hand, it has been indicated that the single nucleotide polymorphism (SNPs) present within 3'UTR (3' untranslated region) of mRNAs can influence the regulation of miRNA-mediated gene and susceptibility to a diversity of human diseases.

Method: The purpose of this study was to analyze the SNPs within the 3'UTR of miRNA target genes associated with ADHD. 3'UTR genetic variants were identified in all genes associated with ADHD using DisGeNET, dbGaP, Ovid, DAVID, Web of knowledge, and SNPs databases. miRNA's target prediction databases were applied in order to predict the miRNA binding sites. 124 SNPs with MAF>0.05 were identified located in the binding site of the miRNA of 35 genes amongst 51 genes associated with ADHD.

Result: Bioinformatics analysis predicted 81 MRE (miRNA recognition elements)-creating SNPs, 101 MRE-breaking SNPs, 61 MRE-enhancing SNPs, and finally predicted 41 MRE-decreasing SNPs in the 3'UTR of ADHD-implicated genes. These candidate SNPs within these genes miRNA binding sites can alter the miRNAs binding, and consequently, lead to mRNA gene regulation.

Conclusion: Therefore, these miRNA and MRE-SNPs may play important roles in ADHD, and because of that, they would be valuable for further investigation in the field of functional verification.

Keywords: ADHA, SNP, miRNA, miRNA binding sites, ADHD- related genes, miRNA target genes

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Article Details

(E-pub Ahead of Print)
DOI: 10.2174/1871524919666191014104843

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