Orphadata

Orphadata provides a curated, machine-readable dataset aggregating rare disease and orphan drug information for integration with biomedical terminologies and genomic resources.

Key Features:

• Relational Database Architecture: A relational database organizes rare disorders across lexical (multilingual terminology), nosological (multihierarchical classifications), and relational (links annotations, epidemiological data, genes, clinical manifestations, and orphan drugs) levels.
• Interoperability and Mapping: Rare disorders are mapped to ICD-10, SNOMED CT, MeSH, MedDRA, and UMLS while genomic entities are cross-referenced to HGNC, UniProt, OMIM, and Genatlas.
• Semantic Interoperability: Semantic interoperability enables integration and meaningful exchange of diverse datasets across systems.
• Data Extraction Tools: A suite of data extraction tools enables retrieval of large-scale datasets and multiple analytical perspectives for bioinformatics research.
• Ontology Development: An ontology under development aims to standardize terminology across scientific data repositories and clinical terminologies.

Scientific Applications:

• Research in Rare Diseases: Supports comprehensive studies by providing structured disease classifications, associated genetic information, and epidemiological annotations.
• Drug Development: Supports identification of orphan drug targets and analysis of epidemiological and classificatory data relevant to pharmaceutical development.

Methodology:

Integration of heterogeneous data into a relational database, mappings to international classifications (ICD-10, SNOMED CT, MeSH, MedDRA, UMLS), cross-references to genomic databases (HGNC, UniProt, OMIM, Genatlas), provision of data extraction tools, and development of an ontology to support semantic interoperability.