RDmap

RDmap: Ontology-based quantitative mapping of rare diseases

RDmap computes and visualizes quantitative similarity relationships among rare diseases by integrating phenotype and gene ontology data into Euclidean space representations.

Key Features:

• Phenotype and Gene-Based Maps: Integrates a phenotype-based map of 3,287 rare diseases and a gene-based map of 3,789 rare genetic diseases, interconnected by 1,718 overlapping diseases.
• Quantitative Distance Calculation: Calculates distances among phenotypes and pathogenic genes using ontology systems and projects the resulting distance matrix into Euclidean space.
• Disease Clustering and Integration: Clusters disease classes and links detailed disease information to identify phenotypic and genetic relationships.
• Phenotype Similarity-Based Localization: Identifies related diseases using ontology-based phenotype similarity, outperforming keyword-based search in in-silico evaluation.

Scientific Applications:

• Clinical Diagnosis of Rare Genetic Diseases: Supports identification of phenotypically and genetically related conditions to improve diagnostic accuracy.
• Disease Mechanism and Target Discovery: Enables analysis of relationships among rare diseases to investigate shared mechanisms and potential therapeutic targets.

Methodology:

Distance matrices were computed for rare diseases listed in Orphanet using quantitative measures derived from phenotype and gene ontology systems. The matrices were projected into Euclidean space for structured visualization and clustering of disease relationships.