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MitoPhen database: a human phenotype ontology-based approach to identify mitochondrial DNA diseases.

Accepted version
Peer-reviewed

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Authors

Ratnaike, Thiloka E 
Greene, Daniel 
Wei, Wei 
Sanchis-Juan, Alba 
Schon, Katherine R 

Abstract

Diagnosing mitochondrial disorders remains challenging. This is partly because the clinical phenotypes of patients overlap with those of other sporadic and inherited disorders. Although the widespread availability of genetic testing has increased the rate of diagnosis, the combination of phenotypic and genetic heterogeneity still makes it difficult to reach a timely molecular diagnosis with confidence. An objective, systematic method for describing the phenotypic spectra for each variant provides a potential solution to this problem. We curated the clinical phenotypes of 6688 published individuals with 89 pathogenic mitochondrial DNA (mtDNA) mutations, collating 26 348 human phenotype ontology (HPO) terms to establish the MitoPhen database. This enabled a hypothesis-free definition of mtDNA clinical syndromes, an overview of heteroplasmy-phenotype relationships, the identification of under-recognized phenotypes, and provides a publicly available reference dataset for objective clinical comparison with new patients using the HPO. Studying 77 patients with independently confirmed positive mtDNA diagnoses and 1083 confirmed rare disease cases with a non-mitochondrial nuclear genetic diagnosis, we show that HPO-based phenotype similarity scores can distinguish these two classes of rare disease patients with a false discovery rate <10% at a sensitivity of 80%. Enriching the MitoPhen database with more patients will improve predictions for increasingly rare variants.

Description

Keywords

Biological Ontologies, DNA, Mitochondrial, Databases, Factual, Heteroplasmy, Humans, Mitochondrial Diseases, Mutation, Phenotype

Journal Title

Nucleic Acids Res

Conference Name

Journal ISSN

0305-1048
1362-4962

Volume Title

49

Publisher

Oxford University Press (OUP)

Rights

All rights reserved
Sponsorship
Cambridge University Hospitals NHS Foundation Trust (CUH) (146281)
Wellcome Trust (212219/Z/18/Z)
MRC (via University College London (UCL)) (178187)
Wellcome Trust (219615/Z/19/Z)
MRC (MR/S035699/1)
Wellcome Trust (109915_A_15_Z)
National Institute for Health and Care Research (IS-BRC-1215-20014)
Medical Research Council (MR/N025431/2)
MRC (MR/V009346/1)
Medical Research Council (MC_UU_00015/7)