medRxivGenetic & Genomic MedicinePreprint
Diagnosing pediatric mitochondrial disease: lessons from 2,000 exomes
Sarah L. StentoniD, Masaru ShimuraiD, Dorota Piekutowska‐AbramczukiD, Peter FreisingeriD, Felix DistelmaieriD, Johannes Adalbert MayriD, Christine C. MakowskiiD, Boriana BüchneriD, Bader AlhaddadiD, Charlotte L. AlstoniD, Anna ArdissoneiD, Rui BaniD, Ivo BarićiD, Riccardo BeruttiiD, Theresa BrunetiD, Elżbieta CiaraiD, Dasha Deen, Julien GagneuriD, Daniele GhezziiD, Mirjana GušićiD, Tobias B. HaackiD, Maja HempeliD, Ralf A. HusainiD, Daniela KaralliD, Stefan KölkeriD, , Holger ProkischiD
Abstract
BackgroundThe spectrum of mitochondrial disease is genetically and phenotypically diverse, resulting from pathogenic variants in over 400 genes, with aerobic energy metabolism defects as a common denominator. Such heterogeneity poses a significant challenge in making an accurate diagnosis, critical for precision medicine. MethodsIn an international collaboration initiated by the European Network for Mitochondrial Diseases (GENOMIT) we recruited 2,023 pediatric patients at 11 specialist referral centers between October 2010 and January 2021, accumulating exome sequencing and HPO-encoded phenotype data. An exome-wide search for variants in known and potential novel disease genes, complemented by functional studies, followed ACMG guidelines. Results1,109 cases (55%) received a molecular diagnosis, of which one fifth have potential disease-modifying treatments (236/1,109, 21%). Functional studies enabled diagnostic uplift from 36% to 55% and discovery of 62 novel disease genes. Pathogenic variants were identified within genes encoding mitochondrial proteins or RNAs in 801 cases (72%), while, given extensive phenotype overlap, the remainder involved proteins targeted to other cellular compartments. To delineate genotype-phenotype associations, our data was complemented with registry and literature data to develop "GENOMITexplorer", an open access resource detailing patient- (n=3,940), gene- (n=427), and variant-level (n=1,492) associations (prokischlab.github.io/GENOMITexplorer/). ConclusionsReaching a molecular diagnosis was essential for implementation of precision medicine and clinical trial eligibility, underlining the need for genome-wide screening given inability to accurately define mitochondrial diseases clinically. Key to diagnostic success were functional studies, encouraging early acquisition of patient- derived tissues and routine integration of high-throughput functional data to improve patient care by uplifting diagnostic rate.
- organism: human
- assay: whole-exome sequencing
- research focus: differential expression
- research focus: database / resource
- approach: statistical model
- Citations
- 11
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Mitochondrial DNA variant detection in over 6,500 rare disease families by the systematic analysis of exome and genome sequencing data resolves undiagnosed cases
Sarah L. Stenton, Kristen M. Laricchia, … Anne O’Donnell‐Luria·Human Genetics and Genomics AdvancesPeer-reviewed·Apr 15, 2025
- The Australian Genomics Mitochondrial Flagship: A National Program Delivering Mitochondrial Diagnoses
Rocío Rius, Alison G. Compton, … David Ross Thorburn·Genetics in MedicinePeer-reviewed·Sep 19, 2024
- RNA sequencing resolves cryptic pathogenic variants in mitochondrial disease
Z.H. Liu, Xin Duan, … Fang Fang·Annals of Clinical and Translational NeurologyPeer-reviewed·Apr 25, 2026
- Integration of proteomics with genomics and transcriptomics increases the diagnostic rate of Mendelian disorders
Robert Kopajtich, Dmitrii Smirnov, … Holger Prokisch·medRxiv·Mar 9, 2021
- Untargeted proteomics enables ultra-rapid variant prioritization in mitochondrial and other rare diseases
Daniella Helena Hock, Nikeisha J. Caruana, … David A. Stroud·medRxiv·Aug 6, 2024
- Genetic diagnosis of Mendelian disorders via RNA sequencing
Laura Sophie Kremer, Daniel M. Bader, … Holger Prokisch·Nature CommunicationsPeer-reviewed·Jun 12, 2017