| Literature DB >> 31382159 |
Christina Strobl1, Jennifer Churchill Cihlar2, Robert Lagacé3, Sharon Wootton3, Chantal Roth3, Nicole Huber1, Lisa Schnaller1, Bettina Zimmermann1, Gabriela Huber1, Seah Lay Hong4, Rodrigo Moura-Neto5, Rosane Silva6, Farida Alshamali7, Luis Souto8, Katja Anslinger9, Balazs Egyed10, Renata Jankova-Ajanovska11, Andrea Casas-Vargas12, Wiliam Usaquén12, Dayse Silva13, Claudia Barletta-Carrillo14, Dean Herman Tineo15, Carlos Vullo16, Reinhard Würzner17, Catarina Xavier1, Leonor Gusmão13, Harald Niederstätter1, Martin Bodner1, Bruce Budowle2, Walther Parson18.
Abstract
The emergence of Massively Parallel Sequencing technologies enabled the analysis of full mitochondrial (mt)DNA sequences from forensically relevant samples that have, so far, only been typed in the control region or its hypervariable segments. In this study, we evaluated the performance of a commercially available multiplex-PCR-based assay, the Precision ID mtDNA Whole Genome Panel (Thermo Fisher Scientific), for the amplification and sequencing of the entire mitochondrial genome (mitogenome) from even degraded forensic specimens. For this purpose, more than 500 samples from 24 different populations were selected to cover the vast majority of established superhaplogroups. These are known to harbor different signature sequence motifs corresponding to their phylogenetic background that could have an effect on primer binding and, thus, could limit a broad application of this molecular genetic tool. The selected samples derived from various forensically relevant tissue sources and were DNA extracted using different methods. We evaluated sequence concordance and heteroplasmy detection and compared the findings to conventional Sanger sequencing as well as an orthogonal MPS platform. We discuss advantages and limitations of this approach with respect to forensic genetic workflow and analytical requirements.Entities:
Keywords: Forensic genetics; Haplogroups; Massively parallel sequencing; Mitochondrial genome; MtDNA; Phylogeny
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Year: 2019 PMID: 31382159 DOI: 10.1016/j.fsigen.2019.07.013
Source DB: PubMed Journal: Forensic Sci Int Genet ISSN: 1872-4973 Impact factor: 4.882