Parsing apart the contributors of mitochondrial DNA mixtures with massively parallel sequencing data

Jennifer Churchill Cihlar, Monika Stoljarova, Jonathan L. King, Bruce Budowle

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

The data generated from massively parallel sequencing (MPS) technologies offer new avenues for the analysis and interpretation of mitochondrial DNA (mtDNA) mixture samples. Two-person mixtures at nuclear DNA ratios of 1:1, 1:5, 1:10, and 1:20 were prepared, and the mitochondrial genomes of these samples were sequenced using the Precision ID mtDNA Whole Genome Panel, Ion Chef, and Ion PGM sequencer (Thermo Fisher Scientific) workflow. The generated data were used to evaluate deconvolution of the mixed mtDNA samples. Results showed successful identification of the major contributor's haplotype in each of the mixed samples that were evaluated.

Original languageEnglish
Pages (from-to)e439-e441
JournalForensic Science International: Genetics Supplement Series
Volume6
DOIs
StatePublished - 1 Dec 2017

Fingerprint

High-Throughput Nucleotide Sequencing
Mitochondrial DNA
Ions
Mitochondrial Genome
Workflow
Haplotypes
Genome
Technology
DNA

Keywords

  • Ion PGM
  • Massively parallel sequencing
  • Mitochondrial DNA
  • Mixtures

Cite this

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Parsing apart the contributors of mitochondrial DNA mixtures with massively parallel sequencing data. / Cihlar, Jennifer Churchill; Stoljarova, Monika; King, Jonathan L.; Budowle, Bruce.

In: Forensic Science International: Genetics Supplement Series, Vol. 6, 01.12.2017, p. e439-e441.

Research output: Contribution to journalArticle

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