Revisiting mitochondrial diagnostic criteria in the new era of genomics

Peter Witters, Ann Saada, Tomas Honzik, Marketa Tesarova, Stephanie Kleinle, Rita Horvath, Amy Goldstein, Eva Morava

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

Abstract

Purpose: Diagnosing primary mitochondrial diseases (MDs) is challenging in clinical practice. The mitochondrial disease criteria (MDC) have been developed to quantify the clinical picture and evaluate the probability of an underlying MD and the need for a muscle biopsy. In this new genetic era with next-generation sequencing in routine practice, we aim to validate the diagnostic value of MDC. Methods: We retrospectively studied MDC in a multicenter cohort of genetically confirmed primary MD patients. Results: We studied 136 patients (61 male, 91 nuclear DNA (nDNA) mutations). Forty-five patients (33%) had probable MD and 69 (51%) had definite MD according to the MDC. A muscle biopsy was performed in 63 patients (47%). Patients with nDNA mutations versus mitochondrial DNA mutations were younger (6.4 ± 9.7 versus 19.5 ± 17.3 y) and had higher MDC (7.07 ± 1.12/8 versus 5.69 ± 1.94/8). At a cutoff of 6.5/8, the sensitivity to diagnose patients with nDNA mutations is 72.5% with a positive predictive value of 69.5%. In the nDNA mutation group, whole-exome sequencing could diagnose patients with lower scores (MDC (6.84 ± 1.51/8) compared to Sanger sequencing MDC (7.44 ± 1.13/8, P = 0.025)). Moreover 7/8 patients diagnosed with possible MD by MDC were diagnosed by whole-exome sequencing. Conclusion: MDC remain very useful in the clinical diagnosis of MD, in interpreting whole-exome results and deciding on the need for performing muscle biopsy.

Original languageEnglish (US)
Pages (from-to)444-451
Number of pages8
JournalGenetics in Medicine
Volume20
Issue number4
DOIs
StatePublished - Apr 1 2018

Keywords

  • diagnosis
  • mitochondrial disease
  • mitochondrial disease criteria
  • muscle biopsy
  • whole-exome sequencing

ASJC Scopus subject areas

  • Genetics(clinical)

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