Human Variome Project Quality Assessment Criteria for Variation Databases.
Vihinen, Mauno LU
; Hancock, John M
; Maglott, Donna R
; Landrum, Melissa J
; Schaafsma, Gerard
LU
and Taschner, Peter
(2016)
In Human Mutation
37(6).
p.549-549
- 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... (More)
- 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/8821528
- author
- Vihinen, Mauno
LU
; Hancock, John M
; Maglott, Donna R
; Landrum, Melissa J
; Schaafsma, Gerard
LU
and Taschner, Peter
- organization
- publishing date
- 2016-02-26
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Human Mutation
- volume
- 37
- issue
- 6
- pages
- 558 pages
- publisher
- John Wiley & Sons Inc.
- external identifiers
-
- pmid:26919176
- scopus:84961683168
- pmid:26919176
- wos:000375157300008
- ISSN
- 1059-7794
- DOI
- 10.1002/humu.22976
- language
- English
- LU publication?
- yes
- id
- 3cd1ad61-7994-4d4e-a0a3-114a17ad4171 (old id 8821528)
- alternative location
- http://www.ncbi.nlm.nih.gov/pubmed/26919176?dopt=Abstract
- date added to LUP
- 2016-04-04 08:33:01
- date last changed
- 2025-04-04 14:02:54
@article{3cd1ad61-7994-4d4e-a0a3-114a17ad4171,
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. This article is protected by copyright. All rights reserved.}},
author = {{Vihinen, Mauno and Hancock, John M and Maglott, Donna R and Landrum, Melissa J and Schaafsma, Gerard and Taschner, Peter}},
issn = {{1059-7794}},
language = {{eng}},
month = {{02}},
number = {{6}},
pages = {{549--549}},
publisher = {{John Wiley & Sons Inc.}},
series = {{Human Mutation}},
title = {{Human Variome Project Quality Assessment Criteria for Variation Databases.}},
url = {{http://dx.doi.org/10.1002/humu.22976}},
doi = {{10.1002/humu.22976}},
volume = {{37}},
year = {{2016}},
}