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

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 dat...

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Autores principales: Lee, Seung Eun, Kim, Ga Eun, Kim, Hajin, Chung, Doo Hyun, Lee, Soong Deok, Kim, Moon-Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Academy of Medical Sciences 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10497357/
https://www.ncbi.nlm.nih.gov/pubmed/37698211
http://dx.doi.org/10.3346/jkms.2023.38.e297
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author Lee, Seung Eun
Kim, Ga Eun
Kim, Hajin
Chung, Doo Hyun
Lee, Soong Deok
Kim, Moon-Young
author_facet Lee, Seung Eun
Kim, Ga Eun
Kim, Hajin
Chung, Doo Hyun
Lee, Soong Deok
Kim, Moon-Young
author_sort Lee, Seung Eun
collection PubMed
description 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.
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spelling pubmed-104973572023-09-13 Comparison of Two Variant Analysis Programs for Next-Generation Sequencing Data of Whole Mitochondrial Genome Lee, Seung Eun Kim, Ga Eun Kim, Hajin Chung, Doo Hyun Lee, Soong Deok Kim, Moon-Young J Korean Med Sci Original Article 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. The Korean Academy of Medical Sciences 2023-08-29 /pmc/articles/PMC10497357/ /pubmed/37698211 http://dx.doi.org/10.3346/jkms.2023.38.e297 Text en © 2023 The Korean Academy of Medical Sciences. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Lee, Seung Eun
Kim, Ga Eun
Kim, Hajin
Chung, Doo Hyun
Lee, Soong Deok
Kim, Moon-Young
Comparison of Two Variant Analysis Programs for Next-Generation Sequencing Data of Whole Mitochondrial Genome
title Comparison of Two Variant Analysis Programs for Next-Generation Sequencing Data of Whole Mitochondrial Genome
title_full Comparison of Two Variant Analysis Programs for Next-Generation Sequencing Data of Whole Mitochondrial Genome
title_fullStr Comparison of Two Variant Analysis Programs for Next-Generation Sequencing Data of Whole Mitochondrial Genome
title_full_unstemmed Comparison of Two Variant Analysis Programs for Next-Generation Sequencing Data of Whole Mitochondrial Genome
title_short Comparison of Two Variant Analysis Programs for Next-Generation Sequencing Data of Whole Mitochondrial Genome
title_sort comparison of two variant analysis programs for next-generation sequencing data of whole mitochondrial genome
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10497357/
https://www.ncbi.nlm.nih.gov/pubmed/37698211
http://dx.doi.org/10.3346/jkms.2023.38.e297
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