期刊
FORENSIC SCIENCE INTERNATIONAL-GENETICS
卷 18, 期 -, 页码 131-139出版社
ELSEVIER IRELAND LTD
DOI: 10.1016/j.fsigen.2015.05.003
关键词
mtDNA; mtGenome; Heteroplasmy; Errors; Massively parallel sequencing
资金
- Austrian Science Fund (FWF) [P22880-B12, TR L397]
- European Union Seventh Framework Programme [285487]
- National Institute of Justice
- Office of Justice Programs
- U.S. Department of Justice
- American Registry of Pathology
- Austrian Science Fund (FWF) [P22880] Funding Source: Austrian Science Fund (FWF)
- Austrian Science Fund (FWF) [P 22880] Funding Source: researchfish
Long an important and useful tool in forensic genetic investigations, mitochondrial DNA (mtDNA) typing continues to mature. Research in the last few years has demonstrated both that data from the entire molecule will have practical benefits in forensic DNA casework, and that massively parallel sequencing (MPS) methods will make full mitochondrial genome (mtGenome) sequencing of forensic specimens feasible and cost-effective. A spate of recent studies has employed these new technologies to assess intraindividual mtDNA variation. However, in several instances, contamination and other sources of mixed mtDNA data have been erroneously identified as heteroplasmy. Well vetted mtGenome datasets based on both Sanger and MPS sequences have found authentic point heteroplasmy in approximately 25% of individuals when minor component detection thresholds are in the range of 10-20%, along with positional distribution patterns in the coding region that differ from patterns of point heteroplasmy in the well-studied control region. A few recent studies that examined very low-level heteroplasmy are concordant with these observations when the data are examined at a common level of resolution. In this review we provide an overview of considerations related to the use of MPS technologies to detect mtDNA heteroplasmy. In addition, we examine published reports on point heteroplasmy to characterize features of the data that will assist in the evaluation of future mtGenome data developed by any typing method. (C) 2015 The Authors. Published by Elsevier Ireland Ltd.
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