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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Academy of Medical Sciences
2023
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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. |
format | Online Article Text |
id | pubmed-10497357 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Korean Academy of Medical Sciences |
record_format | MEDLINE/PubMed |
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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