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

Jennifer D. Churchill; Monika Stoljarova; Jonathan L. King; Bruce Budowle

doi:10.1016/j.fsigss.2017.09.145

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

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

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

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 language	English
Pages (from-to)	e439-e441
Journal	Forensic Science International: Genetics Supplement Series
Volume	6
DOIs	https://doi.org/10.1016/j.fsigss.2017.09.145
State	Published - Dec 2017

Keywords

Ion PGM
Massively parallel sequencing
Mitochondrial DNA
Mixtures

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title = "Parsing apart the contributors of mitochondrial DNA mixtures with massively parallel sequencing data",

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.",

keywords = "Ion PGM, Massively parallel sequencing, Mitochondrial DNA, Mixtures",

author = "Churchill, {Jennifer D.} and Monika Stoljarova and King, {Jonathan L.} and Bruce Budowle",

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language = "English",

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AU - Churchill, Jennifer D.

AU - Stoljarova, Monika

AU - King, Jonathan L.

AU - Budowle, Bruce

PY - 2017/12

Y1 - 2017/12

N2 - 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.

AB - 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.

KW - Ion PGM

KW - Massively parallel sequencing

KW - Mitochondrial DNA

KW - Mixtures

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