Orphanet

Orphanet provides aggregated, standardized biomedical information on rare disorders and orphan drugs by integrating multilingual terminology, multihierarchical disease classifications, epidemiological annotations, and cross-references to classification systems (ICD-10, SNOMED CT, MeSH, MedDRA, UMLS) and gene databases (HGNC, UniProt, OMIM, Genatlas).

Key Features:

• Relational Database Structure: A relational database models rare disorders across a lexical level (multilingual terminology), a nosological level (multihierarchical disease classifications), and a relational level (annotations, epidemiological data, genes, manifestations, and orphan drugs).
• Semantic Interoperability: Disorders are mapped to international classification systems (ICD-10, SNOMED CT, MeSH, MedDRA, UMLS) and genes are cross-referenced with HGNC, UniProt, OMIM, and Genatlas.
• Data Extraction Tools: Tools enable extraction of large datasets and multiple perspectives for bioinformatics analyses of rare diseases and orphan drugs.
• Ontology Development: An ontology is under development to further standardize nomenclature and integrate Orphanet concepts with clinical terminology standards.

Scientific Applications:

• Research: Provides standardized, cross-referenced data and annotations to support genetic, epidemiological, and therapeutic studies of rare disorders.
• Drug Development: Supplies detailed information on orphan drugs and associated genetic markers to inform development and evaluation of medicinal products for rare diseases.

Methodology:

Integration of heterogeneous data sources is achieved by mapping to established classification systems (ICD-10, SNOMED CT, MeSH, MedDRA, UMLS), cross-referencing with gene databases (HGNC, UniProt, OMIM, Genatlas), and organizing information within a relational database.