Computational refinement of functional single nucleotide polymorphisms associated with ATM gene.

<h4>Background</h4>Understanding and predicting molecular basis of disease is one of the major challenges in modern biology and medicine. SNPs associated with complex disorders can create, destroy, or modify protein coding sites. Single amino acid substitutions in the ATM gene are the mo...

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Autores principales: C George Priya Doss, B Rajith
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Publicado: Public Library of Science (PLoS) 2012
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spelling oai:doaj.org-article:2b2e9529b5fe4d52812b29cb83d6db122021-11-18T07:22:08ZComputational refinement of functional single nucleotide polymorphisms associated with ATM gene.1932-620310.1371/journal.pone.0034573https://doaj.org/article/2b2e9529b5fe4d52812b29cb83d6db122012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22529920/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>Understanding and predicting molecular basis of disease is one of the major challenges in modern biology and medicine. SNPs associated with complex disorders can create, destroy, or modify protein coding sites. Single amino acid substitutions in the ATM gene are the most common forms of genetic variations that account for various forms of cancer. However, the extent to which SNPs interferes with the gene regulation and affects cancer susceptibility remains largely unknown.<h4>Principal findings</h4>We analyzed the deleterious nsSNPs associated with ATM gene based on different computational methods. An integrative scoring system and sequence conservation of amino acid residues was adapted for a priori nsSNP analysis of variants associated with cancer. We further extended our approach on SNPs that could potentially influence protein Post Translational Modifications in ATM gene.<h4>Significance</h4>In the lack of adequate prior reports on the possible deleterious effects of nsSNPs, we have systematically analyzed and characterized the functional variants in both coding and non coding region that can alter the expression and function of ATM gene. In silico characterization of nsSNPs affecting ATM gene function can aid in better understanding of genetic differences in disease susceptibility.C George Priya DossB RajithPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 4, p e34573 (2012)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
C George Priya Doss
B Rajith
Computational refinement of functional single nucleotide polymorphisms associated with ATM gene.
description <h4>Background</h4>Understanding and predicting molecular basis of disease is one of the major challenges in modern biology and medicine. SNPs associated with complex disorders can create, destroy, or modify protein coding sites. Single amino acid substitutions in the ATM gene are the most common forms of genetic variations that account for various forms of cancer. However, the extent to which SNPs interferes with the gene regulation and affects cancer susceptibility remains largely unknown.<h4>Principal findings</h4>We analyzed the deleterious nsSNPs associated with ATM gene based on different computational methods. An integrative scoring system and sequence conservation of amino acid residues was adapted for a priori nsSNP analysis of variants associated with cancer. We further extended our approach on SNPs that could potentially influence protein Post Translational Modifications in ATM gene.<h4>Significance</h4>In the lack of adequate prior reports on the possible deleterious effects of nsSNPs, we have systematically analyzed and characterized the functional variants in both coding and non coding region that can alter the expression and function of ATM gene. In silico characterization of nsSNPs affecting ATM gene function can aid in better understanding of genetic differences in disease susceptibility.
format article
author C George Priya Doss
B Rajith
author_facet C George Priya Doss
B Rajith
author_sort C George Priya Doss
title Computational refinement of functional single nucleotide polymorphisms associated with ATM gene.
title_short Computational refinement of functional single nucleotide polymorphisms associated with ATM gene.
title_full Computational refinement of functional single nucleotide polymorphisms associated with ATM gene.
title_fullStr Computational refinement of functional single nucleotide polymorphisms associated with ATM gene.
title_full_unstemmed Computational refinement of functional single nucleotide polymorphisms associated with ATM gene.
title_sort computational refinement of functional single nucleotide polymorphisms associated with atm gene.
publisher Public Library of Science (PLoS)
publishDate 2012
url https://doaj.org/article/2b2e9529b5fe4d52812b29cb83d6db12
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AT brajith computationalrefinementoffunctionalsinglenucleotidepolymorphismsassociatedwithatmgene
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