Literature DB >> 15108276

The challenge of documenting mutation across the genome: the human genome variation society approach.

Ourania Horaitis1, Richard G H Cotton.   

Abstract

New methods for the detection of mutations and the completion of the human genome sequencing project have contributed to an exponential rise in variation information that must be collected, quality controlled, documented, and stored safely to ensure future availability to health care professionals, researchers, and others. There may be anywhere from one to more than 1,000 mutations in any given gene. To date, this information has been collected by general databases such as Online Mendelian Inheritance in Man (OMIM) or the Human Gene Mutation Database (HGMD), which collect only published mutations and, in the case of OMIM, selected published mutations. Unpublished mutations have made their way into Locus Specific Databases (LSDBs), and these can often contain as many unpublished mutations as published ones, in addition to other more detailed gene-specific information. LSDBs, however, do not exist for all genes at this time. Through their interactions, a number of members of the Human Genome Variation Society (HGVS) have developed nomenclature, standard software to curate mutations in gene specific databases, a WayStation to collect and review new mutations from research and diagnostic laboratories, and central databases to store and display these mutations and their associated phenotypes. Nomenclature is now well defined for the commonest types of mutation, with work continuing on systematically naming the more complex types. Other projects, such as dedicated specialized software for LSDBs, are in the early stages of development. Copyright 2004 Wiley-Liss, Inc.

Entities:  

Mesh:

Year:  2004        PMID: 15108276     DOI: 10.1002/humu.20038

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  18 in total

1.  Standard mutation nomenclature in molecular diagnostics: practical and educational challenges.

Authors:  Shuji Ogino; Margaret L Gulley; Johan T den Dunnen; Robert B Wilson
Journal:  J Mol Diagn       Date:  2007-02       Impact factor: 5.568

2.  Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets (MSK-IMPACT): A Hybridization Capture-Based Next-Generation Sequencing Clinical Assay for Solid Tumor Molecular Oncology.

Authors:  Donavan T Cheng; Talia N Mitchell; Ahmet Zehir; Ronak H Shah; Ryma Benayed; Aijazuddin Syed; Raghu Chandramohan; Zhen Yu Liu; Helen H Won; Sasinya N Scott; A Rose Brannon; Catherine O'Reilly; Justyna Sadowska; Jacklyn Casanova; Angela Yannes; Jaclyn F Hechtman; Jinjuan Yao; Wei Song; Dara S Ross; Alifya Oultache; Snjezana Dogan; Laetitia Borsu; Meera Hameed; Khedoudja Nafa; Maria E Arcila; Marc Ladanyi; Michael F Berger
Journal:  J Mol Diagn       Date:  2015-03-20       Impact factor: 5.568

3.  Clinical decision support for whole genome sequence information leveraging a service-oriented architecture: a prototype.

Authors:  Brandon M Welch; Salvador Rodriguez-Loya; Karen Eilbeck; Kensaku Kawamoto
Journal:  AMIA Annu Symp Proc       Date:  2014-11-14

4.  The State of Data in Healthcare: Path Towards Standardization.

Authors:  Keith Feldman; Reid A Johnson; Nitesh V Chawla
Journal:  J Healthc Inform Res       Date:  2018-05-22

5.  Improved mutation tagging with gene identifiers applied to membrane protein stability prediction.

Authors:  Rainer Winnenburg; Conrad Plake; Michael Schroeder
Journal:  BMC Bioinformatics       Date:  2009-08-27       Impact factor: 3.169

Review 6.  Human variation databases.

Authors:  Jan Küntzer; Daniela Eggle; Stefan Klostermann; Helmut Burtscher
Journal:  Database (Oxford)       Date:  2010-07-17       Impact factor: 3.451

7.  Analysis of 589,306 genomes identifies individuals resilient to severe Mendelian childhood diseases.

Authors:  Rong Chen; Lisong Shi; Jörg Hakenberg; Brian Naughton; Pamela Sklar; Jianguo Zhang; Hanlin Zhou; Lifeng Tian; Om Prakash; Mathieu Lemire; Patrick Sleiman; Wei-Yi Cheng; Wanting Chen; Hardik Shah; Yulan Shen; Menachem Fromer; Larsson Omberg; Matthew A Deardorff; Elaine Zackai; Jason R Bobe; Elissa Levin; Thomas J Hudson; Leif Groop; Jun Wang; Hakon Hakonarson; Anne Wojcicki; George A Diaz; Lisa Edelmann; Eric E Schadt; Stephen H Friend
Journal:  Nat Biotechnol       Date:  2016-04-11       Impact factor: 54.908

8.  Algorithms and semantic infrastructure for mutation impact extraction and grounding.

Authors:  Jonas B Laurila; Nona Naderi; René Witte; Alexandre Riazanov; Alexandre Kouznetsov; Christopher J O Baker
Journal:  BMC Genomics       Date:  2010-12-02       Impact factor: 3.969

9.  UASIS: Universal Automatic SNP Identification System.

Authors:  Danny C C Poo; Shaojiang Cai; James T L Mah
Journal:  BMC Genomics       Date:  2011-11-30       Impact factor: 3.969

10.  Spectrum of disease-causing mutations in protein secondary structures.

Authors:  Sofia Khan; Mauno Vihinen
Journal:  BMC Struct Biol       Date:  2007-08-29
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