2003
DOI: 10.1002/0471142905.hg0711s37
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Human Mutation Databases

Abstract: The first part of this unit compares general and locus‐specific mutation databases. The second section deals with submitting data. The third part provides guidance for accessing mutation data. The final section offers advice on database construction.

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Cited by 3 publications
(3 citation statements)
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“…To facilitate scientific and especially diagnostic application, all variants detected should be submitted to a relevant public repository, preferably a gene variant database [Locus Specific DataBase (LSDB), UNIT here (Horaitis and Cotton, )]. Available databases can be found using the HGNC‐approved gene symbol, e.g., http://DMD.lovd.nl or http://TP53.lovd.nl, linking to a list of all available databases (http://www.lovd.nl/lsdbs).…”
Section: Recommendationsmentioning
confidence: 99%
“…To facilitate scientific and especially diagnostic application, all variants detected should be submitted to a relevant public repository, preferably a gene variant database [Locus Specific DataBase (LSDB), UNIT here (Horaitis and Cotton, )]. Available databases can be found using the HGNC‐approved gene symbol, e.g., http://DMD.lovd.nl or http://TP53.lovd.nl, linking to a list of all available databases (http://www.lovd.nl/lsdbs).…”
Section: Recommendationsmentioning
confidence: 99%
“…OMIM is an often‐overlooked resource that provides an incredible amount of genomic and clinical information, and should be considered the "first stop" when beginning to research a new genetic disease or disorder. UNIT here (Horaitis and Cotton, ) presents an overview of human mutation databases, presenting the reader with a brief history of mutation databases and a thorough discussion of the various types of mutation databases currently available. UNIT here (Stenson et al., ) covers the Human Gene Mutation Database (HGMD), a collection of information on published mutations responsible for human genetic diseases and disorders.…”
Section: Overviewmentioning
confidence: 99%
“…However, challenges are presented in integrating these data into one single database, and/or graphical user interface such as a genome browser. Quality of information, data formats, and underlying sequences can differ, and the need for security in dealing with patient data present restrictions on data access (Horaitis and Cotton, 2005). The necessity of integrating information from disparate sources is clear, and projects are currently underway to standardize data formats (Dalgleish et al, 2010).…”
Section: Introductionmentioning
confidence: 99%