Open Access
Mitochondrial and nuclear disease panel (Mito‐aND‐Panel): Combined sequencing of mitochondrial and nuclear DNA by a cost‐effective and sensitive NGS‐based method
Author(s) -
Abicht Angela,
Scharf Florentine,
Kleinle Stephanie,
Schön Ulrike,
HolinskiFeder Elke,
Horvath Rita,
BenetPagès Anna,
Diebold Isabel
Publication year - 2018
Publication title -
molecular genetics and genomic medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.765
H-Index - 29
ISSN - 2324-9269
DOI - 10.1002/mgg3.500
Subject(s) - heteroplasmy , mitochondrial dna , mitochondrial disease , dna sequencing , nuclear gene , biology , sanger sequencing , genetics , computational biology , human mitochondrial genetics , nuclear dna , exome sequencing , genome , gene , mutation
Abstract Background The diagnosis of mitochondrial disorders is challenging because of the clinical variability and genetic heterogeneity of these conditions. Next‐Generation Sequencing (NGS) technology offers a robust high‐throughput platform for nuclear and mitochondrial DNA (mtDNA) analyses. Method We developed a custom Agilent SureSelect Mito chondrial a nd N uclear D isease Panel (Mito‐aND‐Panel) capture kit that allows parallel enrichment for subsequent NGS‐based sequence analysis of nuclear mitochondrial disease‐related genes and the complete mtDNA genome. Sequencing of enriched mtDNA simultaneously with nuclear genes was compared with the separated sequencing of the mitochondrial genome and whole exome sequencing (WES). Results The Mito‐aND‐Panel permits accurate detection of low‐level mtDNA heteroplasmy due to a very high sequencing depth compared to standard diagnostic procedures using Sanger sequencing/SNaPshot and WES which is crucial to identify maternally inherited mitochondrial disorders. Conclusion We established a NGS‐based method with combined sequencing of the complete mtDNA and nuclear genes which enables a more sensitive heteroplasmy detection of mtDNA mutations compared to traditional methods. Because the method promotes the analysis of mtDNA variants in large cohorts, it is cost‐effective and simple to setup, we anticipate this is a highly relevant method for sequence‐based genetic diagnosis in clinical diagnostic applications.