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 platformindependent Web-based LSDB-in-a-Box package.
LQTS gene LOVD database
โ Scribed by Tao Zhang; Arthur Moss; Peikuan Cong; Min Pan; Bingxi Chang; Liangrong Zheng; Quan Fang; Wojciech Zareba; Jennifer Robinson; Changsong Lin; Zhongxiang Li; Junfang Wei; Qiang Zeng; Ming Qi
- Book ID
- 102259663
- Publisher
- John Wiley and Sons
- Year
- 2010
- Tongue
- English
- Weight
- 270 KB
- Volume
- 31
- Category
- Article
- ISSN
- 1059-7794
No coin nor oath required. For personal study only.
โฆ Synopsis
The Long QT Syndrome (LQTS) is a group of genetically heterogeneous disorders that predisposes young individuals to ventricular arrhythmias and sudden death. LQTS is mainly caused by mutations in genes encoding subunits of cardiac ion channels (KCNQ1, KCNH2, SCN5A, KCNE1, and KCNE2). Many other genes involved in LQTS have been described recently (KCNJ2, AKAP9, ANK2, CACNA1C, SCNA4B, SNTA1, and CAV3). We created an online database (http://www.genomed.org/LOVD/introduction.html) that provides information on variants in LQTS-associated genes. As of February 2010, the database contains 1738 unique variants in 12 genes. A total of 950 variants are considered pathogenic, 265 are possible pathogenic, 131 are unknown/unclassified, and 292 have no known pathogenicity. In addition to these mutations collected from published literature, we also submitted information on gene variants, including one possible novel pathogenic mutation in the KCNH2 splice site found in ten Chinese families with documented arrhythmias. The remote user is able to search the data and is encouraged to submit new mutations into the database. The LQTS database will become a powerful tool for both researchers and clinicians. ยฉ 2010 Wiley-Liss, Inc.
๐ SIMILAR VOLUMES
The completion of the human genome project has initiated, as well as provided the basis for, the collection and study of all sequence variation between individuals. Direct access to up-to-date information on sequence variation is currently provided most efficiently through web-based, gene-centered,