J Korean Med Sci.  2023 Sep;38(36):e297. 10.3346/jkms.2023.38.e297.

Comparison of Two Variant Analysis Programs for Next-Generation Sequencing Data of Whole Mitochondrial Genome

Affiliations
  • 1Laboratory of Forensic Medicine, Department of Anatomy and Cell Biology, Sungkyunkwan University School of Medicine, Suwon, Korea
  • 2Department of Pathology, Seoul National University College of Medicine, Seoul, Korea
  • 3Laboratory of Immune Regulation, Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
  • 4Department of Forensic Medicine, Seoul National University College of Medicine, Seoul, Korea
  • 5Institute of Forensic and Anthropological Science, Seoul National University College of Medicine, Seoul, Korea

Abstract

Background
With advance of next-generation sequencing (NGS) techniques, the need for mitochondrial DNA analysis is increasing not only in the forensic area, but also in medical fields.
Methods
Two commercial programs, Converge Software (CS) and Torrent Variant Caller for variant calling of NGS data, were compared with a considerable amount of sequence data of 50 samples with a homogeneous ethnicity.
Results
About 2,300 variants were identified and the two programs showed about 90% of consistency. CS, a dedicated analysis program for mitochondrial DNA, showed some advantages for forensic use. By additional visual inspection, several causes of discrepancy in variant calling results were identified. Application of different notation rules for mitochondrial sequence and the minor allele frequency close to detection threshold were the two most significant reasons.
Conclusion
With prospective improvement of each program, researchers and practitioners should be aware of characteristics of the analysis program they use and prepare their own strategies to determine variants.

Keyword

Mitochondrial DNA; DNA Sequence Analysis; Next-Generation Sequencing

Reference

1. Pereira V, Longobardi A, Børsting C. Sequencing of mitochondrial genomes using the precision ID mtDNA whole genome panel. Electrophoresis. 2018; 39(21):2766–2775. PMID: 30058717.
Article
2. Woerner AE, Ambers A, Wendt FR, King JL, Moura-Neto RS, Silva R, et al. Evaluation of the precision ID mtDNA whole genome panel on two massively parallel sequencing systems. Forensic Sci Int Genet. 2018; 36:213–224. PMID: 30059903.
Article
3. Németh K, Darvasi O, Likó I, Szücs N, Czirják S, Reiniger L, et al. Next-generation sequencing identifies novel mitochondrial variants in pituitary adenomas. J Endocrinol Invest. 2019; 42(8):931–940. PMID: 30684245.
Article
4. Tanaka T, Kobunai T, Yamamoto Y, Murono K, Emoto S, Hiyoshi M, et al. Assessment of the changes in mitochondrial gene polymorphism in ulcerative colitis and the etiology of ulcerative colitis-associated colorectal cancer. Anticancer Res. 2020; 40(1):101–107. PMID: 31892558.
Article
5. Haupts A, Vogel A, Foersch S, Hartmann M, Maderer A, Wachter N, et al. Comparative analysis of nuclear and mitochondrial DNA from tissue and liquid biopsies of colorectal cancer patients. Sci Rep. 2021; 11(1):16745. PMID: 34408162.
Article
6. Avila E, Graebin P, Chemale G, Freitas J, Kahmann A, Alho CS. Full mtDNA genome sequencing of Brazilian admixed populations: a forensic-focused evaluation of a MPS application as an alternative to Sanger sequencing methods. Forensic Sci Int Genet. 2019; 42:154–164. PMID: 31325893.
Article
7. Strobl C, Churchill Cihlar J, Lagacé R, Wootton S, Roth C, Huber N, et al. Evaluation of mitogenome sequence concordance, heteroplasmy detection, and haplogrouping in a worldwide lineage study using the precision ID mtDNA whole genome panel. Forensic Sci Int Genet. 2019; 42:244–251. PMID: 31382159.
Article
8. Ta MTA, Nguyen NN, Tran DM, Nguyen TH, Vu TA, Le DT, et al. Massively parallel sequencing of human skeletal remains in Vietnam using the precision ID mtDNA control region panel on the Ion S5™ system. Int J Legal Med. 2021; 135(6):2285–2294. PMID: 34196785.
Article
9. Strobl C, Eduardoff M, Bus MM, Allen M, Parson W. Evaluation of the precision ID whole MtDNA genome panel for forensic analyses. Forensic Sci Int Genet. 2018; 35:21–25. PMID: 29626805.
Article
10. Cuenca D, Battaglia J, Halsing M, Sheehan S. Mitochondrial sequencing of missing persons DNA casework by implementing Thermo Fisher’s precision ID mtDNA whole genome assay. Genes (Basel). 2020; 11(11):1303. PMID: 33158032.
Article
11. Kim BM, Hong SR, Chun H, Kim S, Shin KJ. Comparison of whole mitochondrial genome variants between hair shafts and reference samples using massively parallel sequencing. Int J Legal Med. 2020; 134(3):853–861. PMID: 31734723.
Article
12. Amer W, Toth C, Vassella E, Meinrath J, Koitzsch U, Arens A, et al. Evolution analysis of heterogeneous non-small cell lung carcinoma by ultra-deep sequencing of the mitochondrial genome. Sci Rep. 2017; 7(1):11069. PMID: 28894165.
Article
13. Kazdal D, Harms A, Endris V, Penzel R, Kriegsmann M, Eichhorn F, et al. Prevalence of somatic mitochondrial mutations and spatial distribution of mitochondria in non-small cell lung cancer. Br J Cancer. 2017; 117(2):220–226. PMID: 28557978.
Article
14. Kazdal D, Harms A, Endris V, Penzel R, Oliveira C, Kriegsmann M, et al. Subclonal evolution of pulmonary adenocarcinomas delineated by spatially distributed somatic mitochondrial mutations. Lung Cancer. 2018; 126:80–88. PMID: 30527196.
Article
15. Cihlar JC, Amory C, Lagacé R, Roth C, Parson W, Budowle B. Developmental validation of a MPS workflow with a PCR-based short amplicon whole mitochondrial genome panel. Genes (Basel). 2020; 11(11):1345. PMID: 33202822.
Article
16. Faccinetto C, Sabbatini D, Serventi P, Rigato M, Salvoro C, Casamassima G, et al. Internal validation and improvement of mitochondrial genome sequencing using the precision ID mtDNA whole genome panel. Int J Legal Med. 2021; 135(6):2295–2306. PMID: 34491421.
Article
17. Kim MY, Cho S, Lee JH, Seo HJ, Lee SD. Detection of innate and artificial mitochondrial DNA heteroplasmy by massively parallel sequencing: considerations for analysis. J Korean Med Sci. 2018; 33(52):e337. PMID: 30584415.
Article
18. Kim MY, Kim H, Sung JA, Koh J, Cho S, Chung DH, et al. Whole mitochondrial genome analysis in non-small cell lung carcinoma reveals unique tumor-specific somatic mutations. Arch Pathol Lab Med. Forthcoming. 2023; DOI: 10.5858/arpa.2022-0175-OA.
Article
19. Huber N, Parson W, Dür A. Next generation database search algorithm for forensic mitogenome analyses. Forensic Sci Int Genet. 2018; 37:204–214. PMID: 30241075.
Article
20. Robinson JT, Thorvaldsdóttir H, Wenger AM, Zehir A, Mesirov JP. Variant review with the integrative genomics viewer. Cancer Res. 2017; 77(21):e31–e34. PMID: 29092934.
Article
21. Parson W, Gusmão L, Hares DR, Irwin JA, Mayr WR, Morling N, et al. DNA commission of the international society for forensic genetics: revised and extended guidelines for mitochondrial DNA typing. Forensic Sci Int Genet. 2014; 13:134–142. PMID: 25117402.
Article
22. Lott MT, Leipzig JN, Derbeneva O, Xie HM, Chalkia D, Sarmady M, et al. mtDNA variation and analysis using Mitomap and Mitomaster. Curr Protoc Bioinformatics. 2013; 44(123):1.23.1–26.
Article
23. Lee HY, Yoo JE, Park MJ, Chung U, Shin KJ. Mitochondrial DNA control region sequences in Koreans: identification of useful variable sites and phylogenetic analysis for mtDNA data quality control. Int J Legal Med. 2006; 120(1):5–14. PMID: 16177905.
Article
24. Eckert KA, Kunkel TA. DNA polymerase fidelity and the polymerase chain reaction. PCR Methods Appl. 1991; 1(1):17–24. PMID: 1842916.
Article
25. Sturk-Andreaggi K, Parson W, Allen M, Marshall C. Impact of the sequencing method on the detection and interpretation of mitochondrial DNA length heteroplasmy. Forensic Sci Int Genet. 2020; 44:102205. PMID: 31783338.
26. van Oven M, Kayser M. Updated comprehensive phylogenetic tree of global human mitochondrial DNA variation. Hum Mutat. 2009; 30(2):E386–E394. PMID: 18853457.
Article
27. Kent WJ, Sugnet CW, Furey TS, Roskin KM, Pringle TH, Zahler AM, et al. The human genome browser at UCSC. Genome Res. 2002; 12(6):996–1006. PMID: 12045153.
Article
Full Text Links
  • JKMS
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr