title: eMelanoBase: an online locus-specific variant database for familial melanoma.
abstract: A proportion of melanoma-prone individuals in both familial and non-familial contexts has been shown to carry inactivating mutations in either CDKN2A or, rarely, CDK4. CDKN2A is a complex locus that encodes two unrelated proteins from alternately spliced transcripts that are read in different frames. The alpha transcript (exons 1alpha, 2, and 3) produces the p16INK4A cyclin-dependent kinase inhibitor, while the beta transcript (exons 1beta and 2) is translated as p14ARF, a stabilizing factor of p53 levels through binding to MDM2. Mutations in exon 2 can impair both polypeptides and insertions and deletions in exons 1alpha, 1beta, and 2, which can theoretically generate p16INK4A-p14ARF fusion proteins. No online database currently takes into account all the consequences of these genotypes, a situation compounded by some problematic previous annotations of CDKN2A-related sequences and descriptions of their mutations. As an initiative of the international Melanoma Genetics Consortium, we have therefore established a database of germline variants observed in all loci implicated in familial melanoma susceptibility. Such a comprehensive, publicly accessible database is an essential foundation for research on melanoma susceptibility and its clinical application. Our database serves two types of data as defined by HUGO. The core dataset includes the nucleotide variants on the genomic and transcript levels, amino acid variants, and citation. The ancillary dataset includes keyword description of events at the transcription and translation levels and epidemiological data. The application that handles users' queries was designed in the model-view-controller architecture and was implemented in Java. The object-relational database schema was deduced using functional dependency analysis. We hereby present our first functional prototype of eMelanoBase. The service is accessible via the URL www.wmi.usyd.edu.au:8080/melanoma.html.
authors.affiliation: Westmead Institute for Cancer Research, University of Sydney, Westmead Millennium Institute, Westmead, NSW, Australia.
authors.forename: David C Y
authors.initials: DC
authors.lastname: Fung
authors.forename: Elizabeth A
authors.initials: EA
authors.lastname: Holland
authors.forename: Therese M
authors.initials: TM
authors.lastname: Becker
authors.forename: Nicholas K
authors.initials: NK
authors.lastname: Hayward
authors.forename: Brigitte
authors.initials: B
authors.lastname: Bressac-de Paillerets
authors.forename: Graham J
authors.initials: GJ
authors.lastname: Mann
mesh_terms: D016494:Computer Security; D051358:Cyclin-Dependent Kinase 4; D018844:Cyclin-Dependent Kinases / Q000235:genetics; D030561:Databases, Nucleic Acid / Q000592:standards; D005544:Forecasting; D019942:Genes, p16; D020022:Genetic Predisposition to Disease; D005838:Genotype; D018095:Germ-Line Mutation; D006801:Humans; D016247:Information Storage and Retrieval; D020407:Internet; D008545:Melanoma / Q000235:genetics*; D008969:Molecular Sequence Data; D009154:Mutation; D011518:Proto-Oncogene Proteins; D011786:Quality Control; D012984:Software; D009626:Terminology as Topic
chemical_list: D011518:Proto-Oncogene Proteins; C495900:CDK4 protein, human; D051358:Cyclin-Dependent Kinase 4; D018844:Cyclin-Dependent Kinases