Literature DB >> 26919176

Human Variome Project Quality Assessment Criteria for Variation Databases.

Mauno Vihinen1, John M Hancock2, Donna R Maglott3, Melissa J Landrum3, Gerard C P Schaafsma1, Peter Taschner4,5.   

Abstract

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.
© 2016 WILEY PERIODICALS, INC.

Entities:  

Keywords:  Human Variome Project; LSDB; components of quality; database quality; gene variant databases; genetic variation; locus-specific variation databases; quality scheme

Mesh:

Year:  2016        PMID: 26919176      PMCID: PMC6317523          DOI: 10.1002/humu.22976

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  36 in total

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Authors:  P Riikonen; M Vihinen
Journal:  Bioinformatics       Date:  1999-10       Impact factor: 6.937

2.  Nomenclature for the description of human sequence variations.

Authors:  J T den Dunnen; S E Antonarakis
Journal:  Hum Genet       Date:  2001-07       Impact factor: 4.132

3.  Improving sequence variant descriptions in mutation databases and literature using the Mutalyzer sequence variation nomenclature checker.

Authors:  Martin Wildeman; Ernest van Ophuizen; Johan T den Dunnen; Peter E M Taschner
Journal:  Hum Mutat       Date:  2008-01       Impact factor: 4.878

4.  Recommendations for locus-specific databases and their curation.

Authors:  R G H Cotton; A D Auerbach; J S Beckmann; O O Blumenfeld; A J Brookes; A F Brown; P Carrera; D W Cox; B Gottlieb; M S Greenblatt; P Hilbert; H Lehvaslaiho; P Liang; S Marsh; D W Nebert; S Povey; S Rossetti; C R Scriver; M Summar; D R Tolan; I C Verma; M Vihinen; J T den Dunnen
Journal:  Hum Mutat       Date:  2008-01       Impact factor: 4.878

5.  UMD (Universal mutation database): a generic software to build and analyze locus-specific databases.

Authors:  C Béroud; G Collod-Béroud; C Boileau; T Soussi; C Junien
Journal:  Hum Mutat       Date:  2000       Impact factor: 4.878

Review 6.  BTKbase: the mutation database for X-linked agammaglobulinemia.

Authors:  Jouni Väliaho; C I Edvard Smith; Mauno Vihinen
Journal:  Hum Mutat       Date:  2006-12       Impact factor: 4.878

Review 7.  Immunodeficiency mutation databases (IDbases).

Authors:  Hilkka Piirilä; Jouni Väliaho; Mauno Vihinen
Journal:  Hum Mutat       Date:  2006-12       Impact factor: 4.878

8.  The Human Phenotype Ontology: a tool for annotating and analyzing human hereditary disease.

Authors:  Peter N Robinson; Sebastian Köhler; Sebastian Bauer; Dominik Seelow; Denise Horn; Stefan Mundlos
Journal:  Am J Hum Genet       Date:  2008-10-23       Impact factor: 11.025

9.  Sharing data between LSDBs and central repositories.

Authors:  Johan T den Dunnen; Rolf H Sijmons; Paal S Andersen; Mauno Vihinen; Jacques S Beckmann; Sandro Rossetti; C Conover Talbot; Ross C Hardison; Sue Povey; Richard G H Cotton
Journal:  Hum Mutat       Date:  2009-04       Impact factor: 4.878

10.  IDR knowledge base for primary immunodeficiencies.

Authors:  Crina Samarghitean; Jouni Väliaho; Mauno Vihinen
Journal:  Immunome Res       Date:  2007-03-29
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Review 4.  Clinical Interpretation of Genomic Variations.

Authors:  Müge Sayitoğlu
Journal:  Turk J Haematol       Date:  2016-08-08       Impact factor: 1.831

5.  RefSeq Functional Elements as experimentally assayed nongenic reference standards and functional interactions in human and mouse.

Authors:  Catherine M Farrell; Tamara Goldfarb; Sanjida H Rangwala; Alexander Astashyn; Olga D Ermolaeva; Vichet Hem; Kenneth S Katz; Vamsi K Kodali; Frank Ludwig; Craig L Wallin; Kim D Pruitt; Terence D Murphy
Journal:  Genome Res       Date:  2021-12-07       Impact factor: 9.438

  5 in total

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