Panel-Based Nuclear and Mitochondrial Next-Generation Sequencing Outcomes of an Ethnically Diverse Pediatric Patient Cohort with Mitochondrial Disease

Autor: Richard J. Rodenburg, Lindi-Maryn Jonck, Roan Louw, Etresia van Dyk, Maryke Schoonen, Francois H. van der Westhuizen, Izelle Smuts, Joanna L. Elson
Rok vydání: 2019
Předmět:
Zdroj: Journal of Molecular Diagnostics, 21, 503-513
Journal of Molecular Diagnostics, 21, 3, pp. 503-513
ISSN: 1525-1578
DOI: 10.1016/j.jmoldx.2019.02.002
Popis: Contains fulltext : 204158.pdf (Publisher’s version ) (Closed access) Mitochondrial disease (MD) is a group of rare inherited disorders with clinical heterogeneous phenotypes. Recent advances in next-generation sequencing (NGS) allow for rapid genetic diagnostics in patients who experience MD, resulting in significant strides in determining its etiology. This, however, has not been the case in many patient populations. We report on a molecular diagnostic study using mitochondrial DNA and targeted nuclear DNA (nDNA) NGS of an extensive cohort of predominantly sub-Saharan African pediatric patients with clinical and biochemically defined MD. Patients in this novel cohort presented mostly with muscle involvement (73%). Of the original 212 patients, a muscle respiratory chain deficiency was identified in 127 cases. Genetic analyses were conducted for these 127 cases based on biochemical deficiencies, for both mitochondrial (n = 123) and nDNA using panel-based NGS (n = 86). As a pilot investigation, whole-exome sequencing was performed in a subset of African patients (n = 8). These analyses resulted in the identification of a previously reported pathogenic mitochondrial DNA variant and seven pathogenic or likely pathogenic nDNA variants (ETFDH, SURF1, COQ6, RYR1, STAC3, ALAS2, and TRIOBP), most of which were identified via whole-exome sequencing. This study contributes to knowledge of MD etiology in an understudied, ethnically diverse population; highlights inconsistencies in genotype-phenotype correlations; and proposes future directions for diagnostic approaches in such patient populations.
Databáze: OpenAIRE