MitoPhen database
MitoPhen database provides a phenotype-ontology-based reference of clinical phenotypes associated with mitochondrial DNA (mtDNA) mutations to support diagnosis and research of mitochondrial disorders.
Key Features:
- Human Phenotype Ontology (HPO) integration: Uses the Human Phenotype Ontology to systematically encode clinical phenotypes associated with mitochondrial DNA (mtDNA) mutations.
- Comprehensive data curation: Contains curated clinical phenotypes from 6,688 individuals with 89 pathogenic mtDNA mutations, comprising over 26,348 HPO terms.
- Hypothesis-free syndrome definition: Applies a hypothesis-free approach to define clinical syndromes associated with mtDNA variants and to analyse heteroplasmy–phenotype relationships.
- Diagnostic accuracy via phenotype similarity: Distinguishes mitochondrial from non-mitochondrial rare diseases using HPO-based phenotype similarity scores with a false discovery rate <10% at 80% sensitivity.
Scientific Applications:
- Clinical diagnosis: Compare patient HPO profiles to the reference dataset to support molecular diagnosis of mitochondrial disorders.
- Research and discovery: Explore heteroplasmy–phenotype relationships and identify novel phenotypic associations with rare mtDNA mutations.
- Reference enrichment and predictive assessment: Provide a growing reference that improves predictive assessment of rare mtDNA variants as additional patients are incorporated.
Methodology:
Integration of the Human Phenotype Ontology, curation of phenotype data from 6,688 individuals with 89 pathogenic mtDNA mutations (over 26,348 HPO terms), hypothesis-free syndrome definition, and calculation of HPO-based phenotype similarity scores.
Topics
Details
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Added:
- 1/12/2022
- Last Updated:
- 1/12/2022
Operations
Publications
Ratnaike TE, Greene D, Wei W, Sanchis-Juan A, Schon KR, van den Ameele J, Raymond L, Horvath R, Turro E, Chinnery PF. MitoPhen database: a human phenotype ontology-based approach to identify mitochondrial DNA diseases. Nucleic Acids Research. 2021;49(17):9686-9695. doi:10.1093/nar/gkab726. PMID:34428295. PMCID:PMC8464050.