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PMID: 21520333 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

LOVD v.2.0: the next generation in gene variant databases.

Human mutation ·Vol. 32 ·No. 5 ·2011-05-00 ·Pages 557-63

Fokkema IF, Taschner PE, Schaafsma GC, Celli J, Laros JF, den Dunnen JT

Abstract

Locus-Specific DataBases (LSDBs) store information on gene sequence variation associated with human phenotypes and are frequently used as a reference by researchers and clinicians. We developed the Leiden Open-source Variation Database (LOVD) as a platform-independent Web-based LSDB-in-a-Box package. LOVD was designed to be easy to set up and maintain and follows the Human Genome Variation Society (HGVS) recommendations. Here we describe LOVD v.2.0, which adds enhanced flexibility and functionality and has the capacity to store sequence variants in multiple genes per patient. To reduce redundancy, patient and sequence variant data are stored in separate tables. Tables are linked to generate connections between sequence variant data for each gene and every patient. The dynamic structure allows database managers to add custom columns. The database structure supports fast queries and allows storage of sequence variants from high-throughput sequence analysis, as demonstrated by the X-chromosomal Mental Retardation LOVD installation. LOVD contains measures to ensure database security from unauthorized access. Currently, the LOVD Website (http://www.LOVD.nl/) lists 71 public LOVD installations hosting 3,294 gene variant databases with 199,000 variants in 84,000 patients. To promote LSDB standardization and thereby database interoperability, we offer free server space and help to establish an LSDB on our Leiden server.

MeSH Terms
Data Collection Databases, Genetic Genetic Variation Humans Internet Software
Authors & Affiliations
6 authors, click to expand affiliations / ORCID
Fokkema Ivo F A C
Center of Human and Clinical Genetics, Department of Human Genetics, Leiden University Medical Center, Leiden, Nederland.
Taschner Peter E M
Schaafsma Gerard C P
Celli J
Laros Jeroen F J
den Dunnen Johan T
Article Info
Journal
Human mutation
Abbr.
Hum Mutat
ISSN
1098-1004
Published
2011-05-00
Epub
2011-00-22
Pages
557-63
Language
English
Region
United States
NLM ID
9215429
Subset
IM
Analysis Services
Analysis Services

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