Literature DB >> 17893115

General mutation databases: analysis and review.

R A George1, T D Smith, S Callaghan, L Hardman, C Pierides, O Horaitis, M A Wouters, R G H Cotton.   

Abstract

Databases of mutations causing Mendelian disease play a crucial role in research, diagnostic and genetic health care and can play a role in life and death decisions. These databases are thus heavily used, but only gene or locus specific databases have been previously reviewed for completeness, accuracy, currency and utility. We have performed a review of the various general mutation databases that derive their data from the published literature and locus specific databases. Only two--the Human Gene Mutation Database (HGMD) and Online Mendelian Inheritance in Man (OMIM)--had useful numbers of mutations. Comparison of a number of characteristics of these databases indicated substantial inconsistencies between the two databases that included absent genes and missing mutations. This situation strengthens the case for gene specific curation of mutations and the need for an overall plan for collection, curation, storage and release of mutation data.

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Year:  2007        PMID: 17893115     DOI: 10.1136/jmg.2007.052639

Source DB:  PubMed          Journal:  J Med Genet        ISSN: 0022-2593            Impact factor:   6.318


  14 in total

1.  An examination of the OMIM database for associating mutation to a consensus reference sequence.

Authors:  Zuofeng Li; Beili Ying; Xingnan Liu; Xiaoyan Zhang; Hong Yu
Journal:  Protein Cell       Date:  2012-04-04       Impact factor: 14.870

2.  The case for locus-specific databases.

Authors:  Mark E Samuels; Guy A Rouleau
Journal:  Nat Rev Genet       Date:  2011-05-04       Impact factor: 53.242

3.  Missense variant pathogenicity predictors generalize well across a range of function-specific prediction challenges.

Authors:  Vikas Pejaver; Sean D Mooney; Predrag Radivojac
Journal:  Hum Mutat       Date:  2017-06-12       Impact factor: 4.878

4.  Disease-associated mutations that alter the RNA structural ensemble.

Authors:  Matthew Halvorsen; Joshua S Martin; Sam Broadaway; Alain Laederach
Journal:  PLoS Genet       Date:  2010-08-19       Impact factor: 5.917

5.  Gene Variant Databases and Sharing: Creating a Global Genomic Variant Database for Personalized Medicine.

Authors:  Lora J H Bean; Madhuri R Hegde
Journal:  Hum Mutat       Date:  2016-03-18       Impact factor: 4.878

6.  Difficulties in finding DNA mutations and associated phenotypic data in web resources using simple, uncomplicated search terms, and a suggested solution.

Authors:  Elizabeth A Webb; Timothy D Smith; Richard G H Cotton
Journal:  Hum Genomics       Date:  2011-03       Impact factor: 4.639

7.  Saturation of the human phenome.

Authors:  Mark E Samuels
Journal:  Curr Genomics       Date:  2010-11       Impact factor: 2.236

8.  Multiple conformations are a conserved and regulatory feature of the RB1 5' UTR.

Authors:  Katrina M Kutchko; Wes Sanders; Ben Ziehr; Gabriela Phillips; Amanda Solem; Matthew Halvorsen; Kevin M Weeks; Nathaniel Moorman; Alain Laederach
Journal:  RNA       Date:  2015-05-21       Impact factor: 4.942

9.  UCbase & miRfunc: a database of ultraconserved sequences and microRNA function.

Authors:  Cristian Taccioli; Enrica Fabbri; Rosa Visone; Stefano Volinia; George A Calin; Louise Y Fong; Roberto Gambari; Arianna Bottoni; Mario Acunzo; John Hagan; Marilena V Iorio; Claudia Piovan; Giulia Romano; Carlo Maria Croce
Journal:  Nucleic Acids Res       Date:  2008-10-22       Impact factor: 16.971

10.  SysPIMP: the web-based systematical platform for identifying human disease-related mutated sequences from mass spectrometry.

Authors:  Hong Xi; Jongsun Park; Guohui Ding; Yong-Hwan Lee; Yixue Li
Journal:  Nucleic Acids Res       Date:  2008-11-26       Impact factor: 16.971

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