MitoPhen
MitoPhen curates and analyzes clinical phenotypes mapped to the Human Phenotype Ontology (HPO) to characterize phenotypic spectra and heteroplasmy relationships of pathogenic mitochondrial DNA (mtDNA) mutations.
Key Features:
- Comprehensive Curation: Aggregates data from 6,688 individuals with 89 pathogenic mtDNA mutations and over 26,348 HPO terms to characterize variant-specific phenotypic spectra.
- Hypothesis-Free Syndrome Definition: Defines clinical syndromes related to mtDNA mutations using objective, ontology-based aggregation of HPO terms without prior hypotheses.
- Heteroplasmy-Phenotype Relationships: Provides insights into relationships between heteroplasmy levels and phenotypic manifestations.
- Identification of Under-Recognized Phenotypes: Uncovers phenotypes associated with mtDNA variants that may be under-recognized or under-documented.
- Phenotype Similarity Scores: Computes HPO-based phenotype similarity scores to quantify resemblance between patient profiles and curated mtDNA-associated phenotypes.
Scientific Applications:
- Objective Clinical Comparison: Enables objective comparison of new patient HPO-encoded phenotypes to curated mtDNA-associated profiles for diagnostic interpretation.
- Phenotype Similarity Scores: Differentiates mitochondrial disorders from other rare diseases using HPO-based phenotype similarity scores with reported performance of less than 10% false discovery rate at 80% sensitivity in validation cohorts including confirmed mtDNA and non-mitochondrial nuclear genetic diagnoses.
Methodology:
Curates clinical phenotypes from published literature for individuals with pathogenic mtDNA mutations by mapping attributes to HPO terms, computes HPO-based phenotype similarity scores, and analyzes phenotype data including heteroplasmy-phenotype relationships.
Topics
Collections
Details
- Tool Type:
- web application
- Added:
- 1/17/2022
- Last Updated:
- 1/17/2022
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.