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PubMedDate not supplied

Verification of information in a large medical database using linkages with external databases.

Efforts to utilize Uniform Hospital Discharge Data Sets (UHDDS) for epidemiological studies have been hampered by the limitations of those databases. The purpose of this paper is to illustrate that linking to external databases can provide the verification necessary to overcome many of those limitations. This method has dramatically altered study design at the Connecticut Hospital Research and Education Foundation and has provided an efficient method for specifying data collection weaknesses within the resident databases.

Cause of Death↗

PubMedDate not supplied

The BioImage Database Project: organizing multidimensional biological images in an object-relational database.

The BioImage Database Project collects and structures multidimensional data sets recorded by various microscopic techniques relevant to modern life sciences. It provides, as precisely as possible, the circumstances in which the sample was prepared and the data were recorded. It grants access to the actual data and maintains links between related data sets. In order to promote the interdisciplinary approach of modern science, it offers a large set of key words, which covers essentially all aspects of microscopy. Nonspecialists can, therefore, access and retrieve significant information recorded and submitted by specialists in other areas. A key issue of the undertaking is to exploit the available technology and to provide a well-defined yet flexible structure for dealing with data. Its pivotal element is, therefore, a modern object relational database that structures the metadata and ameliorates the provision of a complete service. The BioImage database can be accessed through the Internet.

PubMed2004

National databases and rheumatology research I: longitudinal databases in Scandinavia.

Nationwide population-based longitudinal databases provide excellent resources for medical research in Scandinavia. These include the Population Registry, the Cancer Registry, the Cause of Death Registry, the Hospital Discharge Registry, and other registers, and are linkable to each other by the personal identification code. The registers have long historical backgrounds, and are regulated strictly by law. This article describes features of the national databases and provides some examples of rheumatology research that use these databases.

Databases as Topic↗

PubMed2005

Routine database registration of biological therapy increases the reporting of adverse events twentyfold in clinical practice. First results from the Danish Database (DANBIO).

OBJECTIVE: To present from the Danish Database for Biological Therapies in Rheumatology (DANBIO) the frequencies and types of adverse events as well as risk factors during treatment with biological agents in clinical practice. METHODS: Adverse events during the first 2 years of clinical use of biological agents in Denmark were reported to the nationwide DANBIO and compared to the mandatory reports to the Danish Medicines Agency. RESULTS: Almost 90% of the patients treated with biological agents were registered in the DANBIO, and the database picked up 20 times as many adverse events as the Danish Medicines Agency. Infections and hypersensitivity reactions were the most prevalent adverse events. Age, disease duration, and previous number of disease-modifying anti-rheumatic drugs (DMARDS) were found to be risk factors for bacterial infections. CONCLUSION: A routine-based Danish database for biological therapies covers approximately 90% of patients and improves the reporting of adverse events.

Adult↗

PubMed1996

PAH Mutation Analysis Consortium Database: a database for disease-producing and other allelic variation at the human PAH locus.

The PAH Mutation Analysis Consortium (81 investigators, 26 countries) is engaged in mutation detection at the human PAH locus. Ascertainment of probands occurs largely through newborn screening for hyperphenylalaninemia. A relational database records allelic variation (disease-producing and polymorphic) at the locus. Information is distributed by Newsletter, diskette (WINPAHDB software stand-alone executable on IBM compatible hardware), and at a 'real' site on the Worldwide Web (http://www.mcgill.ca/pahdb). The database presently records (Sept. 27, 1995) 248 alleles in 798 different associations (with polymorphic haplotype, geographic region and population) along with additional information. The database, as a record of human genetic diversity, at a particular locus, contributes to the study of human evolution and demic expansion; it also has medical relevance.

Alleles↗

PubMed1997

Yeast Protein database (YPD): a database for the complete proteome of Saccharomyces cerevisiae.

The Yeast Protein Database (YPD) is a database for the proteins of the budding yeast,Saccharomyces cerevisiae. YPD is the first annotated database for the complete proteome of any organism. Now that the complete genome sequence of yeast is available, YPD contains entries for each of the characterized proteins and for each of the uncharacterized proteins predicted from the sequence. Contained in YPD are the calculated properties of each protein such as molecular weight and isoelectric point, experimentally determined properties such as subcellular localization and post-translational modifications, and extensive annotations from the yeast literature. YPD contains 25 000 lines of textual annotation that describe the known functions, mutant phenotypes, interactions, and other properties for the approximately 6000 proteins in the yeast proteome. The information in YPD is updated daily, and it is available on the World Wide Web at http://www.proteome.com/YPDhome.html .

Amino Acid Sequence↗

PubMed1998

PAH Mutation Analysis Consortium Database: 1997. Prototype for relational locus-specific mutation databases.

PAHdb (http://www.mcgill.ca/pahdb ) is a curated relational database (Fig. 1) of nucleotide variation in the human PAH cDNA (GenBank U49897). Among 328 different mutations by state (Fig. 2) the majority are rare mutations causing hyperphenylalaninemia (HPA) (OMIM 261600), the remainder are polymorphic variants without apparent effect on phenotype. PAHdb modules contain mutations, polymorphic haplotypes, genotype-phenotype correlations, expression analysis, sources of information and the reference sequence; the database also contains pages of clinical information and data on three ENU mouse orthologues of human HPA. Only six different mutations account for 60% of human HPA chromosomes worldwide, mutations stratify by population and geographic region, and the Oriental and Caucasian mutation sets are different (Fig. 3). PAHdb provides curated electronic publication and one third of its incoming reports are direct submissions. Each different mutation receives a systematic (nucleotide) name and a unique identifier (UID). Data are accessed both by a Newsletter and a search engine on the website; integrity of the database is ensured by keeping the curated template offline. There have been >6500 online interrogations of the website.

Animals↗

PubMed1998

LDLR Database (second edition): new additions to the database and the software, and results of the first molecular analysis.

Mutations in the LDL receptor gene (LDLR) cause familial hypercholesterolemia (FH), a common autosomal dominant disorder. The LDLR database is a computerized tool that has been developed to provide tools to analyse the numerous mutations that have been identified in the LDLR gene. The second version of the LDLR database contains 140 new entries and the software has been modified to accommodate four new routines. The analysis of the updated data (350 mutations) gives the following informations: (i) 63% of the mutations are missense, and only 20% occur in CpG dinucleotides; (ii) although the mutations are widely distributed throughout the gene, there is an excess of mutations in exons 4 and 9, and a deficit in exons 13 and 15; (iii) the analysis of the distribution of mutations located within the ligand-binding domain shows that 74% of the mutations in this domain affect a conserved amino-acid, and that they are mostly confined in the C-terminal region of the repeats. Conversely, the same analysis in the EGF-like domain shows that 64% of the mutations in this domain affect a non-conserved amino-acid, and, that they are mostly confined in the N-terminal half of the repeats. The database is now accessible on the World Wide Web at http://www.umd.necker.fr

Computer Communication Networks↗

PubMed1998

The Yeast Protein Database (YPD): a curated proteome database for Saccharomyces cerevisiae.

The Yeast Protein Database (YPD) is a curated database for the proteome of Saccharomyces cerevisiae . It consists of approximately 6000 Yeast Protein Reports, one for each of the known or predicted yeast proteins. Each Yeast Protein Report is a one-page presentation of protein properties, annotation lines that summarize findings from the literature, and references. In the past year, the number of annotation lines has grown from 25 000 to approximately 35 000, and the number of articles curated has grown from approximately 3500 to >5000. Recently, new data types have been included in YPD: protein-protein interactions, genetic interactions, and regulators of gene expression. Finally, a new layer of information, the YPD Protein Minireviews, has recently been introduced. The Yeast Protein Database can be found on the Web at http://www.proteome.com/YPDhome. html

Databases, Factual↗

PubMed2000

The molecular biology database collection: an online compilation of relevant database resources.

The Molecular Biology Database Collection represents an effort geared at making molecular biology database resources more accessible to biologists. This online resource, available at http://www.oup.co.uk/nar/Volume_28/Issue_01/html /gkd115_gml.html, is intended to serve as a searchable, up-to-date, centralized jumping-off point to individual Web sites. An emphasis has also been placed on including databases where new value is added to the underlying data by virtue of curation, new data connections, or other innovative approaches.

Databases, Factual↗

PubMed2000

The Mouse Genome Database (MGD): expanding genetic and genomic resources for the laboratory mouse. The Mouse Genome Database Group.

The Mouse Genome Database (MGD) is a comprehensive public database of mouse genomic, genetic and phenotypic information (http://www. informatics.jax.org). This community database provides information about genes, serves as a mapping resource of the mouse genome, details mammalian orthologs, integrates experimental data, represents standardized mouse nomenclature for genes and alleles, incorporates links to other genomic resources such as sequence data, and includes a variety of additional information about the laboratory mouse. MGD scientists and annotators work cooperatively with the research community to provide an integrated, consensus view of the mouse genome while also providing experimental data including data conflicting with the consensus representation. Recent improvements focus on the representation of phenotypic information and the enhancement of gene and allele descriptions.

Animals↗

PubMed2000

The yeast proteome database (YPD) and Caenorhabditis elegans proteome database (WormPD): comprehensive resources for the organization and comparison of model organism protein information.

The Yeast Proteome Database (YPDtrade mark) has been for several years a resource for organized and accessible information about the proteins of Saccharomyces cerevisiae. We have now extended the YPD format to create a database containing complete proteome information about the model organism Caenorhabditis elegans (WormPDtrade mark). YPD and WormPD are designed for use not only by their respective research communities but also by the broader scientific community. In both databases, information gleaned from the literature is presented in a consistent, user-friendly Protein Report format: a single Web page presenting all available knowledge about a particular protein. Each Protein Report begins with a Title Line, a concise description of the function of that protein that is continually updated as curators review new literature. Properties and functions of the protein are presented in tabular form in the upper part of the Report, and free-text annotations organized by topic are presented in the lower part. Each Protein Report ends with a comprehensive reference list whose entries are linked to their MEDLINE s. YPD and WormPD are seamlessly integrated, with extensive links between the species. They are freely accessible to academic users on the WWW at http://www. proteome.com/databases/index.html, and are available by subscription to corporate users.

Animals↗

PubMed2002

Annotating the human proteome: the Human Proteome Survey Database (HumanPSD) and an in-depth target database for G protein-coupled receptors (GPCR-PD) from Incyte Genomics.

The Proteome Division of Incyte Genomics has released new volumes to the BioKnowledge Library to add human, mouse and rat protein information to its rich collection of model organism Proteome Databases. The Human Proteome Survey Database (HumanPSD) compiles the fundamental properties of more than 25 000 characterized mammalian proteins. HumanPSD includes clear, concise and current protein descriptions (Title Lines), the protein sequence, calculated physical properties, precomputed BLAST alignments, controlled-vocabulary protein properties and Gene Ontology terms, and a list of published references. Each report also contains expression data, Pfam domain information and an associated Mouse Mutant Phenotype section describing behavioral, physiological and cellular phenotypes for over 1500 mouse mutant phenotypes. GPCR-PD contains more than 3200 Protein Reports from the three mammalian species for G protein-coupled receptors, their protein ligands, associated G-proteins and their downstream signaling proteins. In addition to the features described above, each GPCR-PD Protein Report displays annotations of experimental findings from over 10 000 publications. These databases provide important new volumes of Proteome's BioKnowledge Library (http://www.incyte.com), integrating protein information from model organisms with the human proteome.

Amino Acid Sequence↗

PubMed1999

Use of observational databases to evaluate the effectiveness of antiretroviral therapy for HIV infection: comparison of cohort studies with randomized trials. EuroSIDA, the French Hospital Database on HIV and the Swiss HIV Cohort Study Groups.

OBJECTIVES: It is important to assess the extent of bias when comparing the clinical efficacy of antiretroviral regimens in observational databases because, with the current lack of planned large trials, such analyses may represent the only means of assessing the risk of serious clinical events associated with new regimens. We aimed to compare the results from observational databases with those from randomized trials. METHODS: Three treatment comparisons from randomized trials [Delta, AIDS Clinical Trials Group (ACTG) 175, Community Programs for Clinical Research on AIDS (CPCRA) 007 and ACTC 320] were mimicked in cohorts: (i) zidovudine monotherapy versus combination regimens of two nucleoside analogues; (ii) zidovudine combined with either didanosine or zalcitabine; and (iii) a dual combination versus a triple regimen including a protease inhibitor. Data for over 10 000 patients from the French Hospital Database on HIV, the EuroSIDA study and the Swiss HIV cohort study were analysed for each of the comparisons. Progression to AIDS disease or death was analysed in Cox models, adjusting for baseline differences, and results compared with randomized trials. RESULTS: For comparison (i) the adjusted relative risk estimates from cohorts were between 0.61 and 0.84, favouring combinations over monotherapy, compared with 0.57 to 0.63 for trials. For comparison (ii) relative risk estimates from cohorts ranged from 0.81 to 1.01 compared with 0.77 to 0.92 for trials. For comparison (iii), two of the cohorts showed similar results to the ACTG 320 trial but one indicated a higher risk of progression on triple therapy [relative risk 1.20, 95% confidence interval (CI) 1.01-1.441, in direct contrast to the trial result (relative risk 0.50, 95% CI 0.33-0.76). CONCLUSION: Serious biases can be present when comparing outcomes from the use of antiretroviral regimens in observational studies. However, such bias is not inevitable and careful interpretation of the results from several observational studies considered together is likely to be informative, guiding the design of new trials.

Anti-HIV Agents↗

PubMed2002

Perspective: the ovarian kaleidoscope database-II. Functional genomic analysis of an organ-specific database.

In the postgenomic era, it is now possible to investigate the function of all human genes to provide an integrated view of physiology and pathophysiology. An organ-based approach has been used to set up a database integrating existing text-based literature on individual ovarian genes and their sequence-based data in the GenBank. The Ovarian Kaleidoscope database (OKdb) has accumulated nearly one thousand individual gene pages that are searchable based on gene function, cellular localization, chromosomal position, ovarian cell type, ovarian function, mutant phenotypes, and other criteria. The present review exemplifies the use of this organ-based database in setting up gene pathway maps for DNA array analysis, identifying key gene networks essential for infertility phenotypes, comparing chromosomal synteny regions for finding candidate fertility genes, categorizing cell-specific and hormonally coregulated genes for promoter analysis, and documenting potential ligands and receptors in the paracrine regulation of follicular development. The present global analysis of gene function and relationships in an organ-specific manner provides a functional genomic paradigm for the future understanding of the physiology and pathophysiology of diverse organs.

Animals↗

PubMed2003

The cell-centered database: a database for multiscale structural and protein localization data from light and electron microscopy.

The creation of structured shared data repositories for molecular data in the form of web-accessible databases like GenBank has been a driving force behind the genomic revolution. These resources serve not only to organize and manage molecular data being created by researchers around the globe, but also provide the starting point for data mining operations to uncover interesting information present in the large amount of sequence and structural data. To realize the full impact of the genomic and proteomic efforts of the last decade, similar resources are needed for structural and biochemical complexity in biological systems beyond the molecular level, where proteins and macromolecular complexes are situated within their cellular and tissue environments. In this review, we discuss our efforts in the development of neuroinformatics resources for managing and mining cell level imaging data derived from light and electron microscopy. We describe the main features of our web-accessible database, the Cell Centered Database (CCDB; http://ncmir.ucsd.edu/CCDB/), designed for structural and protein localization information at scales ranging from large expanses of tissue to cellular microdomains with their associated macromolecular constituents. The CCDB was created to make 3D microscopic imaging data available to the scientific community and to serve as a resource for investigating structural and macromolecular complexity of cells and tissues, particularly in the rodent nervous system.

Brain↗

PubMedDate not supplied

The National Alzheimer's Coordinating Center (NACC) Database: an Alzheimer disease database.

The National Alzheimer's Coordinating Center (NACC) is responsible for developing and maintaining a database of patient information collected from the 29 Alzheimer disease centers (ADCs) funded by the National Institute on Aging. Each of the centers collects center-determined data elements on patients enrolled into its center and transmits a minimum dataset to NACC. Data are managed differently at each center depending on that center's research needs. The centers' data systems vary from a single personal computer running spreadsheet software to a network of servers running an advanced data management system such as Oracle. The challenge for NACC is to expand and adjust previously collected data elements into an integrated database that could be used for administrative as well as research purposes. In addition, NACC sought to allow the centers to have the flexibility they needed for data submission. To accomplish this task, NACC designed a database that contained separate specific datasets each with individual data elements. NACC also designed a data management system to easily collect and manage these data. The NACC web site (www.alz.washington.edu) was created to allow access to the data.

Alzheimer Disease↗

PubMed1991

Global schistosomiasis database: practical considerations in the design of a user-friendly database.

A computerized database for monitoring global schistosomiasis data is discussed. The potential target users include schistosomiasis program managers, Ministries of Health of endemic countries, consultants, and WHO Regional Offices. The concept behind the design of the database structure, the user interface and the query interface is addressed along with a brief description of the hardware and software used. The database, holding information on 76 schistosomiasis endemic countries around the world, has been tested in the WHO Regional Offices with positive results.

Databases, Factual↗