Literature DB >> 22052659

Guidelines for establishing locus specific databases.

Mauno Vihinen1, Johan T den Dunnen, Raymond Dalgleish, Richard G H Cotton.   

Abstract

Information about genetic variation has been collected for some 20 years into registries, known as locus specific databases (LSDBs), which nowadays often contain information in addition to the actual genetic variation. Several issues have to be taken into account when considering establishing and maintaining LSDBs and these have been discussed previously in a number of articles describing guidelines and recommendations. This information is widely scattered and, for a newcomer, it would be difficult to obtain the latest information and guidance. Here, a sequence of steps essential for establishing an LSDB is discussed together with guidelines for each step. Curators need to collect information from various sources, code it in systematic way, and distribute to the research and clinical communities. In doing this, ethical issues have to be taken into account. To facilitate integration of information to, for example, analyze genotype-phenotype correlations, systematic data representation using established nomenclatures, data models, and ontologies is essential. LSDB curation and maintenance comprises a number of tasks that can be managed by following logical steps. These resources are becoming ever more important and new curators are essential to ensure that we will have expertly curated databases for all disease-related genes in the near future.
© 2011 Wiley Periodicals, Inc.

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Year:  2011        PMID: 22052659     DOI: 10.1002/humu.21646

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


  26 in total

1.  Human Variome Project Quality Assessment Criteria for Variation Databases.

Authors:  Mauno Vihinen; John M Hancock; Donna R Maglott; Melissa J Landrum; Gerard C P Schaafsma; Peter Taschner
Journal:  Hum Mutat       Date:  2016-03-21       Impact factor: 4.878

2.  General olfactory sensitivity database (GOSdb): candidate genes and their genomic variations.

Authors:  Ifat Keydar; Edna Ben-Asher; Ester Feldmesser; Noam Nativ; Arisa Oshimoto; Diego Restrepo; Hiroaki Matsunami; Ming-Shan Chien; Jayant M Pinto; Yoav Gilad; Tsviya Olender; Doron Lancet
Journal:  Hum Mutat       Date:  2012-10-11       Impact factor: 4.878

3.  Annotating DNA variants is the next major goal for human genetics.

Authors:  Garry R Cutting
Journal:  Am J Hum Genet       Date:  2014-01-02       Impact factor: 11.025

Review 4.  The Human Variome Project: ensuring the quality of DNA variant databases in inherited renal disease.

Authors:  Judy Savige; Raymond Dalgleish; Richard Gh Cotton; Johan T den Dunnen; Finlay Macrae; Sue Povey
Journal:  Pediatr Nephrol       Date:  2014-11-11       Impact factor: 3.714

5.  PON-P and PON-P2 predictor performance in CAGI challenges: Lessons learned.

Authors:  Abhishek Niroula; Mauno Vihinen
Journal:  Hum Mutat       Date:  2017-05-02       Impact factor: 4.878

6.  Expanding the MTM1 mutational spectrum: novel variants including the first multi-exonic duplication and development of a locus-specific database.

Authors:  Jorge Oliveira; Márcia E Oliveira; Wolfram Kress; Ricardo Taipa; Manuel Melo Pires; Pascale Hilbert; Peter Baxter; Manuela Santos; Henk Buermans; Johan T den Dunnen; Rosário Santos
Journal:  Eur J Hum Genet       Date:  2012-09-12       Impact factor: 4.246

7.  Large numbers of genetic variants considered to be pathogenic are common in asymptomatic individuals.

Authors:  Christopher A Cassa; Mark Y Tong; Daniel M Jordan
Journal:  Hum Mutat       Date:  2013-08-05       Impact factor: 4.878

8.  VarioML framework for comprehensive variation data representation and exchange.

Authors:  Myles Byrne; Ivo Fac Fokkema; Owen Lancaster; Tomasz Adamusiak; Anni Ahonen-Bishopp; David Atlan; Christophe Béroud; Michael Cornell; Raymond Dalgleish; Andrew Devereau; George P Patrinos; Morris A Swertz; Peter Em Taschner; Gudmundur A Thorisson; Mauno Vihinen; Anthony J Brookes; Juha Muilu
Journal:  BMC Bioinformatics       Date:  2012-10-03       Impact factor: 3.169

9.  Variation Ontology for annotation of variation effects and mechanisms.

Authors:  Mauno Vihinen
Journal:  Genome Res       Date:  2013-10-25       Impact factor: 9.043

10.  Variation ontology: annotator guide.

Authors:  Mauno Vihinen
Journal:  J Biomed Semantics       Date:  2014-02-17
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