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In Silico analysis of missense single nucleotide polymorphisms in human GATA4 Gene

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Year: 2018
COI code: CIGS15_525
Paper Language: English

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Authors In Silico analysis of missense single nucleotide polymorphisms in human GATA4 Gene

  Mojgan Rezaii Adriani - Department of Biology, Faculty of science, Yazd University, Yazd, Iran.
  Mehri Khatami, - Department of Biology, Faculty of science, Yazd University, Yazd, Iran.
  Mohammad Mehdi Heidari - Department of Biology, Faculty of science, Yazd University, Yazd, Iran.

Abstract:

Introduction: GATA4 gene encodes a member of the GATA family of zinc-finger transcription factors. This protein is thought to regulate genes involved in embryogenesis, myocardial differentiation and function, and normal testicular development. Mutations in this gene have been associated with cardiac septal defects. Protein structure and dynamics are an important part of understanding molecular bases of complex biological processes and play an important role in computational biology. There are many mutations in coding regions. All of these mutations were associated with Atrial Septal Defect (ASD). The functional significance of observed GATA4 mutations was analyzed using PROVEAN, PMut, and PYMOL software. Method: We identified three missense single nucleotide polymorphisms in the GATA4 gene (rs387906771, rs387906772, and rs56298569) using Ensembl database and then analyzed their effect on the protein structure using PyMOL software and PROVEAN and PMut databases.Results: Validation results showed that missense single nucleotide polymorphisms change the polar groups, interaction patterns, and length of hydrogen bonds. rs387906771, rs387906772, and rs56298569 lead to Thr280Met, Met310Val, and Gln316Glu. According to PyMOL, all these SNPs caused to change hydrogen bonds length in protein structure. The results of the variants in the PROVEAN predict scores below -2.5. PMut showed all of these SNPs with a high percentage of 85% pathogenic.Conclusions: According to ROVEAN database, all scores less than -2.5 were considered deleterious. PMut expresses the degree of SNP s pathogenicity by percentage. Although in silico studies have contributed greatly to the progress of studies, it needs experimental researches to confirm the results.

Keywords:

GATA4; missense single nucleotide polymorphisms; PyMOL software; PMut database; PROVEAN database

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COI code: CIGS15_525

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Rezaii Adriani, Mojgan; Mehri Khatami, & Mohammad Mehdi Heidari, 2018, In Silico analysis of missense single nucleotide polymorphisms in human GATA4 Gene, The Third International and 15th National Genetics Congress, تهران, انجمن علمي ژنتيك ايران, https://www.civilica.com/Paper-CIGS15-CIGS15_525.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Rezaii Adriani, Mojgan; Mehri Khatami, & Mohammad Mehdi Heidari, 2018)
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Type: state university
Paper No.: 11274
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