Journal of Korean Medical Science

Korean Acad Medical Sciences (대한의학회)
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Detection of Innate and Artificial Mitochondrial DNA Heteroplasmy by Massively Parallel Sequencing: Considerations for Analysis

  • Kim, Moon-Young (Department of Forensic Medicine, Seoul National University College of Medicine) ;
  • Cho, Sohee (Institute of Forensic Science, Seoul National University College of Medicine) ;
  • Lee, Ji Hyun (Department of Forensic Medicine, Seoul National University College of Medicine) ;
  • Seo, Hee Jin (Department of Forensic Medicine, Seoul National University College of Medicine) ;
  • Lee, Soong Deok (Department of Forensic Medicine, Seoul National University College of Medicine)
  • Received : 2018.07.11
  • Accepted : 2018.10.02
  • Published : 2018.12.24
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Abstract

Background: Mitochondrial heteroplasmy, the co-existence of different mitochondrial polymorphisms within an individual, has various forensic and clinical implications. But there is still no guideline on the application of massively parallel sequencing (MPS) in heteroplasmy detection. We present here some critical issues that should be considered in heteroplasmy studies using MPS. Methods: Among five samples with known innate heteroplasmies, two pairs of mixture were generated for artificial heteroplasmies with target minor allele frequencies (MAFs) ranging from 50% to 1%. Each sample was amplified by two-amplicon method and sequenced by Ion Torrent system. The outcomes of two different analysis tools, Torrent Suite Variant Caller (TVC) and mtDNA-Server (mDS), were compared. Results: All the innate heteroplasmies were detected correctly by both analysis tools. Average MAFs of artificial heteroplasmies correlated well to the target values. The detection rates were almost 90% for high-level heteroplasmies, but decreased for low-level heteroplasmies. TVC generally showed lower detection rates than mDS, which seems to be due to their own computation algorithms which drop out some reference-dominant heteroplasmies. Meanwhile, mDS reported several unintended low-level heteroplasmies which were suggested as nuclear mitochondrial DNA sequences. The average coverage depth of each sample placed on the same chip showed considerable variation. The increase of coverage depth had no effect on the detection rates. Conclusion: In addition to the general accuracy of the MPS application on detecting heteroplasmy, our study indicates that the understanding of the nature of mitochondrial DNA and analysis algorithm would be crucial for appropriate interpretation of MPS results.

Keywords

Acknowledgement

Supported by : Seoul National University Hospital (SNUH), Ministry of Science, ICT & Future Planning

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