Literature DB >> 11216896

Bridging the gap between molecular genetics and metabolic medicine: access to genetic information.

S Aymé1.   

Abstract

UNLABELLED: Thanks to the World Wide Web, most results of research in genetics are made available in public databases. At the present time there are resources on genetic diseases, genes and their location, mutations of already cloned genes and on laboratories performing the mutation analysis. The main resources on phenotypes are On-line Mendelian Inheritance in Man (OMIM), Pedbase, GeneClinics, London Dysmorphology Database (LDDB) and Orphanet. The main resources on human genes are, in addition to OMIM, the Genome Database, Genatlas and Genecard. There are also two major sequence databases. All of them can be queried using the OMIM number of the disease. Central databases of mutations, as well as locus specific databases have been created. Their list is maintained at the Human Genome Organisation mutation database initiative website. Several initiative have been taken to integrate all these data and help the clinician to find out quickly what he/she needs. The website of the National Center for Biotechnology Information is the best example of such an effort with sections on diseases, a genome guide, and locus links. Several databases of genetic testing resources have been established. GeneTests is an on-line genetics resource that contains a directory of North American laboratories providing testing for heritable disorders. Orphanet is a similar database on French services which is in the process of becoming a European database.
CONCLUSION: Even if clinicians do not have as many services at their disposal as the molecular geneticists, various useful databases already exist and should no longer be ignored in practice.

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Year:  2000        PMID: 11216896     DOI: 10.1007/pl00014399

Source DB:  PubMed          Journal:  Eur J Pediatr        ISSN: 0340-6199            Impact factor:   3.183


  2 in total

1.  GeneTests: an online genetic information resource for health care providers.

Authors:  Roberta A Pagon
Journal:  J Med Libr Assoc       Date:  2006-07

2.  Gene prioritization and clustering by multi-view text mining.

Authors:  Shi Yu; Leon-Charles Tranchevent; Bart De Moor; Yves Moreau
Journal:  BMC Bioinformatics       Date:  2010-01-14       Impact factor: 3.169

  2 in total

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