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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...

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Autores principales: Hijikata, Atsushi, Raju, Rajesh, Keerthikumar, Shivakumar, Ramabadran, Subhashri, Balakrishnan, Lavanya, Ramadoss, Suresh Kumar, Pandey, Akhilesh, Mohan, Sujatha, Ohara, Osamu
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
Materias:
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.
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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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