Literature DB >> 31364806

Identification of most damaging nsSNPs in human CCR6 gene: In silico analyses.

Mehran Akhtar1, Tazkira Jamal1, Hina Jamal, Jalal Ud Din1, Muhsin Jamal2, Muhammad Arif1, Maria Arshad3, Fazal Jalil1.   

Abstract

Single nucleotide polymorphisms in CCR6 (C-C chemokine receptor type 6) gene have been found to be the possible cause of many diseases like rheumatoid arthritis, psoriasis, lupus nephritis and systemic sclerosis and other autoimmune diseases. Therefore, identification of structurally and functionally important polymorphisms in CCR6 is important in order to study its potential malfunctioning and discovering therapeutic targets. Several bioinformatics tools were used to identify most damaging nsSNPs that might be vital for CCR6 structure and function. The in silico tools included PROVEAN, SIFT, SNP&GO and PolyPhen2 followed by I-Mutant MutPred and ConSurf. Phyre2 and I-TASSER were used for protein 3-D Modelling while gene-gene interaction was predicted by STRING and GeneMANIA. Our study suggested that three nsSNPs rs1376162684, rs751102128 and rs1185426631 are the most damaging in CCR6 gene while 7 missense SNPs rs1438637216, rs139697820, rs768420505, rs1282264186, rs1394647982, rs769360638 and rs1263402382 are found to revert into stop codons. Prediction of post-transcriptional modifications highlighted the significance of rs1376162684 because it effected potential phosphorylation site. Gene-gene interactions showed relation of CCR6 with other genes depicting its importance in several pathways and co-expressions. In future, studying diseases related to CCR6 should include investigation of these 10 nsSNPs. Being the first of its type, this study also proposes future perspectives that will help in precision medicines. For such purposes, CCR6 proteins from patients of autoimmune diseases should be explored. Animal models can also be of significance find out the effects of CCR6 in diseases.
© 2019 John Wiley & Sons Ltd.

Entities:  

Keywords:  CCR6; gene-gene interaction; in silico; mutations; nsSNPs

Mesh:

Substances:

Year:  2019        PMID: 31364806     DOI: 10.1111/iji.12449

Source DB:  PubMed          Journal:  Int J Immunogenet        ISSN: 1744-3121            Impact factor:   1.466


  6 in total

1.  An in silico approach to characterize nonsynonymous SNPs and regulatory SNPs in human TOX3 gene.

Authors:  Mehran Akhtar; Tazkira Jamal; Jalal Ud Din; Chandni Hayat; Mamoona Rauf; Syed Manzoor Ul Haq; Raham Sher Khan; Aftab Ali Shah; Muhsin Jamal; Fazal Jalil
Journal:  J Genet       Date:  2019-12       Impact factor: 1.166

2.  Exploring the Structural and Functional Effects of Nonsynonymous SNPs in the Human Serotonin Transporter Gene Through In Silico Approaches.

Authors:  Md Arzo Mia; Md Nasir Uddin; Yasmin Akter; Lolo Wal Marzan
Journal:  Bioinform Biol Insights       Date:  2022-06-09

3.  Exploring the effect of nsSNPs in human YPEL3 gene in cellular senescence.

Authors:  Abhishek Singh; Mukesh Thakur; Sujeet Kumar Singh; Lalit Kumar Sharma; Kailash Chandra
Journal:  Sci Rep       Date:  2020-09-17       Impact factor: 4.379

4.  A Functional Variant rs3093023 in CCR6 Is Associated With IgA Nephropathy by Regulating Th17 Cells in a North Han Chinese Population.

Authors:  Yue-Miao Zhang; Xing-Zi Liu; Xu-Jie Zhou; Li-Jun Liu; Su-Fang Shi; Ping Hou; Ji-Cheng Lv; Hong Zhang
Journal:  Front Immunol       Date:  2021-02-25       Impact factor: 7.561

5.  Identification of deleterious single nucleotide polymorphism (SNP)s in the human TBX5 gene & prediction of their structural & functional consequences: An in silico approach.

Authors:  A M U B Mahfuz; Md Arif Khan; Promita Deb; Sharmin Jahan Ansary; Rownak Jahan
Journal:  Biochem Biophys Rep       Date:  2021-12-02

6.  Pathogenic nsSNPs that increase the risks of cancers among the Orang Asli and Malays.

Authors:  Nurul Ain Khoruddin; Mohd NurFakhruzzaman Noorizhab; Lay Kek Teh; Farida Zuraina Mohd Yusof; Mohd Zaki Salleh
Journal:  Sci Rep       Date:  2021-08-09       Impact factor: 4.379

  6 in total

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