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Human Variome Project Quality Assessment Criteria for Variation Databases.

Vihinen, Mauno (författare)
Lund University,Lunds universitet,Institutionen för experimentell medicinsk vetenskap,Medicinska fakulteten,Department of Experimental Medical Science,Faculty of Medicine
Hancock, John M (författare)
Maglott, Donna R (författare)
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Landrum, Melissa J (författare)
Schaafsma, Gerard (författare)
Lund University,Lunds universitet,Institutionen för experimentell medicinsk vetenskap,Medicinska fakulteten,Department of Experimental Medical Science,Faculty of Medicine
Taschner, Peter (författare)
visa färre...
 (creator_code:org_t)
2016-03-21
2016
Engelska 558 s.
Ingår i: Human Mutation. - : Hindawi Limited. - 1059-7794. ; 37:6, s. 549-549
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Numerous databases containing information about DNA, RNA and protein variations are available. Gene-specific variant databases (locus specific variation databases, LSDBs) are typically curated and maintained for single genes or groups of genes for a certain disease(s). These databases are widely considered as the most reliable information source for a particular gene/protein/disease, but it should also be made clear they may have widely varying contents, infrastructure, and quality. Quality is very important to evaluate because these databases may affect health decision-making, research and clinical practice. The Human Variome Project (HVP) established a Working Group for Variant Database Quality Assessment. The basic principle was to develop a simple system that nevertheless provides a good overview of the quality of a database. The HVP quality evaluation criteria that resulted are divided into four main components: data quality, technical quality, accessibility, and timeliness. This report elaborates on the developed quality criteria and how implementation of the quality scheme can be achieved. Examples are provided for the current status of the quality items in two different databases, BTKbase, an LSDB, and ClinVar, a central archive of submissions about variants and their clinical significance. This article is protected by copyright. All rights reserved.

Ämnesord

NATURVETENSKAP  -- Biologi -- Bioinformatik och systembiologi (hsv//swe)
NATURAL SCIENCES  -- Biological Sciences -- Bioinformatics and Systems Biology (hsv//eng)

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