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Bioinformatics Approach for Prediction of Functional Coding/Noncoding Simple Polymorphisms (SNPs/Indels) in Human BRAF Gene
This study was carried out for Homo sapiens single variation (SNPs/Indels) in BRAF gene through coding/non-coding regions. Variants data was obtained from database of SNP even last update of November, 2015. Many bioinformatics tools were used to identify functional SNPs and indels in proteins functi...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4958420/ https://www.ncbi.nlm.nih.gov/pubmed/27478437 http://dx.doi.org/10.1155/2016/2632917 |
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author | Hassan, Mohamed M. Omer, Shaza E. Khalf-allah, Rahma M. Mustafa, Razaz Y. Ali, Isra S. Mohamed, Sofia B. |
author_facet | Hassan, Mohamed M. Omer, Shaza E. Khalf-allah, Rahma M. Mustafa, Razaz Y. Ali, Isra S. Mohamed, Sofia B. |
author_sort | Hassan, Mohamed M. |
collection | PubMed |
description | This study was carried out for Homo sapiens single variation (SNPs/Indels) in BRAF gene through coding/non-coding regions. Variants data was obtained from database of SNP even last update of November, 2015. Many bioinformatics tools were used to identify functional SNPs and indels in proteins functions, structures and expressions. Results shown, for coding polymorphisms, 111 SNPs predicted as highly damaging and six other were less. For UTRs, showed five SNPs and one indel were altered in micro RNAs binding sites (3′ UTR), furthermore nil SNP or indel have functional altered in transcription factor binding sites (5′ UTR). In addition for 5′/3′ splice sites, analysis showed that one SNP within 5′ splice site and one Indel in 3′ splice site showed potential alteration of splicing. In conclude these previous functional identified SNPs and indels could lead to gene alteration, which may be directly or indirectly contribute to the occurrence of many diseases. |
format | Online Article Text |
id | pubmed-4958420 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-49584202016-07-31 Bioinformatics Approach for Prediction of Functional Coding/Noncoding Simple Polymorphisms (SNPs/Indels) in Human BRAF Gene Hassan, Mohamed M. Omer, Shaza E. Khalf-allah, Rahma M. Mustafa, Razaz Y. Ali, Isra S. Mohamed, Sofia B. Adv Bioinformatics Research Article This study was carried out for Homo sapiens single variation (SNPs/Indels) in BRAF gene through coding/non-coding regions. Variants data was obtained from database of SNP even last update of November, 2015. Many bioinformatics tools were used to identify functional SNPs and indels in proteins functions, structures and expressions. Results shown, for coding polymorphisms, 111 SNPs predicted as highly damaging and six other were less. For UTRs, showed five SNPs and one indel were altered in micro RNAs binding sites (3′ UTR), furthermore nil SNP or indel have functional altered in transcription factor binding sites (5′ UTR). In addition for 5′/3′ splice sites, analysis showed that one SNP within 5′ splice site and one Indel in 3′ splice site showed potential alteration of splicing. In conclude these previous functional identified SNPs and indels could lead to gene alteration, which may be directly or indirectly contribute to the occurrence of many diseases. Hindawi Publishing Corporation 2016 2016-07-10 /pmc/articles/PMC4958420/ /pubmed/27478437 http://dx.doi.org/10.1155/2016/2632917 Text en Copyright © 2016 Mohamed M. Hassan et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Hassan, Mohamed M. Omer, Shaza E. Khalf-allah, Rahma M. Mustafa, Razaz Y. Ali, Isra S. Mohamed, Sofia B. Bioinformatics Approach for Prediction of Functional Coding/Noncoding Simple Polymorphisms (SNPs/Indels) in Human BRAF Gene |
title | Bioinformatics Approach for Prediction of Functional Coding/Noncoding Simple Polymorphisms (SNPs/Indels) in Human BRAF Gene |
title_full | Bioinformatics Approach for Prediction of Functional Coding/Noncoding Simple Polymorphisms (SNPs/Indels) in Human BRAF Gene |
title_fullStr | Bioinformatics Approach for Prediction of Functional Coding/Noncoding Simple Polymorphisms (SNPs/Indels) in Human BRAF Gene |
title_full_unstemmed | Bioinformatics Approach for Prediction of Functional Coding/Noncoding Simple Polymorphisms (SNPs/Indels) in Human BRAF Gene |
title_short | Bioinformatics Approach for Prediction of Functional Coding/Noncoding Simple Polymorphisms (SNPs/Indels) in Human BRAF Gene |
title_sort | bioinformatics approach for prediction of functional coding/noncoding simple polymorphisms (snps/indels) in human braf gene |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4958420/ https://www.ncbi.nlm.nih.gov/pubmed/27478437 http://dx.doi.org/10.1155/2016/2632917 |
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