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Mutation@A Glance: An Integrative Web Application for Analysing Mutations from Human Genetic Diseases
Although mutation analysis serves as a key part in making a definitive diagnosis about a genetic disease, it still remains a time-consuming step to interpret their biological implications through integration of various lines of archived information about genes in question. To expedite this evaluatio...
Autores principales: | , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Oxford University Press
2010
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2885273/ https://www.ncbi.nlm.nih.gov/pubmed/20360267 http://dx.doi.org/10.1093/dnares/dsq010 |
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author | Hijikata, Atsushi Raju, Rajesh Keerthikumar, Shivakumar Ramabadran, Subhashri Balakrishnan, Lavanya Ramadoss, Suresh Kumar Pandey, Akhilesh Mohan, Sujatha Ohara, Osamu |
author_facet | Hijikata, Atsushi Raju, Rajesh Keerthikumar, Shivakumar Ramabadran, Subhashri Balakrishnan, Lavanya Ramadoss, Suresh Kumar Pandey, Akhilesh Mohan, Sujatha Ohara, Osamu |
author_sort | Hijikata, Atsushi |
collection | PubMed |
description | Although mutation analysis serves as a key part in making a definitive diagnosis about a genetic disease, it still remains a time-consuming step to interpret their biological implications through integration of various lines of archived information about genes in question. To expedite this evaluation step of disease-causing genetic variations, here we developed Mutation@A Glance (http://rapid.rcai.riken.jp/mutation/), a highly integrated web-based analysis tool for analysing human disease mutations; it implements a user-friendly graphical interface to visualize about 40 000 known disease-associated mutations and genetic polymorphisms from more than 2600 protein-coding human disease-causing genes. Mutation@A Glance locates already known genetic variation data individually on the nucleotide and the amino acid sequences and makes it possible to cross-reference them with tertiary and/or quaternary protein structures and various functional features associated with specific amino acid residues in the proteins. We showed that the disease-associated missense mutations had a stronger tendency to reside in positions relevant to the structure/function of proteins than neutral genetic variations. From a practical viewpoint, Mutation@A Glance could certainly function as a ‘one-stop’ analysis platform for newly determined DNA sequences, which enables us to readily identify and evaluate new genetic variations by integrating multiple lines of information about the disease-causing candidate genes. |
format | Text |
id | pubmed-2885273 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-28852732010-06-15 Mutation@A Glance: An Integrative Web Application for Analysing Mutations from Human Genetic Diseases Hijikata, Atsushi Raju, Rajesh Keerthikumar, Shivakumar Ramabadran, Subhashri Balakrishnan, Lavanya Ramadoss, Suresh Kumar Pandey, Akhilesh Mohan, Sujatha Ohara, Osamu DNA Res Full Papers Although mutation analysis serves as a key part in making a definitive diagnosis about a genetic disease, it still remains a time-consuming step to interpret their biological implications through integration of various lines of archived information about genes in question. To expedite this evaluation step of disease-causing genetic variations, here we developed Mutation@A Glance (http://rapid.rcai.riken.jp/mutation/), a highly integrated web-based analysis tool for analysing human disease mutations; it implements a user-friendly graphical interface to visualize about 40 000 known disease-associated mutations and genetic polymorphisms from more than 2600 protein-coding human disease-causing genes. Mutation@A Glance locates already known genetic variation data individually on the nucleotide and the amino acid sequences and makes it possible to cross-reference them with tertiary and/or quaternary protein structures and various functional features associated with specific amino acid residues in the proteins. We showed that the disease-associated missense mutations had a stronger tendency to reside in positions relevant to the structure/function of proteins than neutral genetic variations. From a practical viewpoint, Mutation@A Glance could certainly function as a ‘one-stop’ analysis platform for newly determined DNA sequences, which enables us to readily identify and evaluate new genetic variations by integrating multiple lines of information about the disease-causing candidate genes. Oxford University Press 2010-06 2010-04-01 /pmc/articles/PMC2885273/ /pubmed/20360267 http://dx.doi.org/10.1093/dnares/dsq010 Text en © The Author 2010. Published by Oxford University Press on behalf of Kazusa DNA Research Institute. http://creativecommons.org/licenses/by-nc/2.5/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Full Papers Hijikata, Atsushi Raju, Rajesh Keerthikumar, Shivakumar Ramabadran, Subhashri Balakrishnan, Lavanya Ramadoss, Suresh Kumar Pandey, Akhilesh Mohan, Sujatha Ohara, Osamu Mutation@A Glance: An Integrative Web Application for Analysing Mutations from Human Genetic Diseases |
title | Mutation@A Glance: An Integrative Web Application for Analysing Mutations from Human Genetic Diseases |
title_full | Mutation@A Glance: An Integrative Web Application for Analysing Mutations from Human Genetic Diseases |
title_fullStr | Mutation@A Glance: An Integrative Web Application for Analysing Mutations from Human Genetic Diseases |
title_full_unstemmed | Mutation@A Glance: An Integrative Web Application for Analysing Mutations from Human Genetic Diseases |
title_short | Mutation@A Glance: An Integrative Web Application for Analysing Mutations from Human Genetic Diseases |
title_sort | mutation@a glance: an integrative web application for analysing mutations from human genetic diseases |
topic | Full Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2885273/ https://www.ncbi.nlm.nih.gov/pubmed/20360267 http://dx.doi.org/10.1093/dnares/dsq010 |
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