Artigo Acesso aberto Revisado por pares

Accurate mitochondrial DNA sequencing using off-target reads provides a single test to identify pathogenic point mutations

2014; Elsevier BV; Volume: 16; Issue: 12 Linguagem: Inglês

10.1038/gim.2014.66

ISSN

1530-0366

Autores

Helen Griffin, Angela Pyle, Emma L. Blakely, Charlotte L. Alston, Jennifer Duff, Gavin Hudson, Rita Horváth, Ian Wilson, Mauro Santibanez‐Koref, Robert W. Taylor, Patrick F. Chinnery,

Tópico(s)

Genomics and Rare Diseases

Resumo

PurposeMitochondrial disorders are a common cause of inherited metabolic disease and can be due to mutations affecting mitochondrial DNA or nuclear DNA. The current diagnostic approach involves the targeted resequencing of mitochondrial DNA and candidate nuclear genes, usually proceeds step by step, and is time consuming and costly. Recent evidence suggests that variations in mitochondrial DNA sequence can be obtained from whole-exome sequence data, raising the possibility of a comprehensive single diagnostic test to detect pathogenic point mutations.MethodsWe compared the mitochondrial DNA sequence derived from off-target exome reads with conventional mitochondrial DNA Sanger sequencing in 46 subjects.ResultsMitochondrial DNA sequences can be reliably obtained using three different whole-exome sequence capture kits. Coverage correlates with the relative amount of mitochondrial DNA in the original genomic DNA sample, heteroplasmy levels can be determined using variant and total read depths, and—providing there is a minimum read depth of 20-fold—rare sequencing errors occur at a rate similar to that observed with conventional Sanger sequencing.ConclusionThis offers the prospect of using whole-exome sequence in a diagnostic setting to screen not only all protein coding nuclear genes but also all mitochondrial DNA genes for pathogenic mutations. Off-target mitochondrial DNA reads can also be used to assess quality control and maternal ancestry, inform on ethnic origin, and allow genetic disease association studies not previously anticipated with existing whole-exome data sets.Genet Med advance online publication 05 June 2014

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