McElhoe JA, Wilton PR, Parson W, Holland MM. Exploring statistical weight estimates for mitochondrial DNA matches involving heteroplasmy. Int J Legal Med. 2022; 136: 671-685. McCormick EM, Lott MT, Dulik MC, Shen L, Attimonelli M, Vitale O, Karaa A, Bai R, Pineda-Alvarez DE, Singh LN, Stanley CM, Wong S, Bhardwaj A, Merkurjev D, Mao R, Sondheimer N, Zhang S, Procaccio V, Wallace DC, Gai X, Falk MJ. Specifications of the ACMG/AMP standards and guidelines for mitochondrial DNA variant interpretation. Hum Mutat. 2020; 41: 2028-2057. Fazzini F, Fendt L, Schönherr S, Forer L, Schöpf B, Streiter G, Losso JL, Kloss-Brandstätter A, Kronenberg F, Weissensteiner H. Analyzing Low-Level mtDNA Heteroplasmy-Pitfalls and Challenges from Bench to Benchmarking. Int J Mol Sci. 2021; 22: 935. Marshall C, Parson W. Interpreting NUMTs in forensic genetics: Seeing the forest for the trees. Forensic Sci Int Genet. 2021; 53: 102497. Skonieczna K, Malyarchuk B, Jawień A, Marszałek A, Banaszkiewicz Z, Jarmocik P, Grzybowski T. Mitogenomic differences between the normal and tumor cells of colorectal cancer patients. Hum Mutat. 2018; 39: 691-701. Fendt, L, Zimmermann B, Daniaux M, Parson W. Sequencing strategy for the whole mitochondrial genome resulting in high quality sequences. BMC Genomics 2009; 10: 139. Skonieczna K, Grzybowski T. Capability of the iSeq 100 sequencing system from Illumina to detect low-level substitutions in the human mitochondrial genome. Forensic Sci Int Genet. 2023; 66: 102912. Andrews S. FastQC: a quality control tool for high throughput sequence data. 2010; Available online at: http://www.bioinformatics.babraham.ac.uk/projects/fastqc Weissensteiner H, Forer L, Fuchsberger C, Schöpf B, Kloss-Brandstätter A, Specht G, Kronenberg F, Schönherr S. mtDNA-Server: next-generation sequencing data analysis of human mitochondrial DNA in the cloud. Nucleic Acids Res. 2016; 44: W64-W69. McElhoe JA, Holland MM. Characterization of background noise in MiSeq MPS data when sequencing human mitochondrial DNA from various sample sources and library preparation methods. Mitochondrion. 2020; 52:40-55. Holland MM, Wilson LA, Copeland S, Dimick G, Holland CA, Bever R, McElhoe JA. MPS analysis of the mtDNA hypervariable regions on the MiSeq with improved enrichment. Int J Legal Med. 2017; 131: 919-931. Kloss-Brandstätter A, Weissensteiner H, Erhart G, Schäfer G, Forer L, Schönherr S, Pacher D, Seifarth C, Stöckl A, Fendt L, Sottsas I, Klocker H, Huck CW, Rasse M, Kronenberg F, Kloss FR. Validation of Next-Generation Sequencing of Entire Mitochondrial Genomes and the Diversity of Mitochondrial DNA Mutations in Oral Squamous Cell Carcinoma. PLoS One. 2015; 10: e0135643. Hestand MS, Van Houdt J, Cristofoli F, Vermeesch JR. Polymerase specific error rates and profiles identified by single molecule sequencing. Mutat Res. 2016; 784-785: 39-45. McInerney P, Adams P, Hadi MZ. Error Rate Comparison during Polymerase Chain Reaction by DNA Polymerase. Mol Biol Int. 2014;2014:287430. Ring JD, Sturk-Andreaggi K, Peck MA, Marshall C. A performance evaluation of Nextera XT and KAPA HyperPlus for rapid Illumina library preparation of long-range mitogenome amplicons. Forensic Sci Int Genet. 2017; 29:174-180. Peck MA, Brandhagen MD, Marshall C, Diegoli TM, Irwin JA, Sturk-Andreaggi K. Concordance and reproducibility of a next generation mtGenome sequencing method for high-quality samples using the Illumina MiSeq. Forensic Sci Int Genet. 2016; 24:103-111.