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Entire Mitochondrial DNA Sequencing on Massively Parallel Sequencing for the Korean Population

Mitochondrial DNA (mtDNA) genome analysis has been a potent tool in forensic practice as well as in the understanding of human phylogeny in the maternal lineage. The traditional mtDNA analysis is focused on the control region, but the introduction of massive parallel sequencing (MPS) has made the ty...

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Autores principales: Park, Sohyung, Cho, Sohee, Seo, Hee Jin, Lee, Ji Hyun, Kim, Moon-Young, Lee, Soong Deok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Academy of Medical Sciences 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5334155/
https://www.ncbi.nlm.nih.gov/pubmed/28244283
http://dx.doi.org/10.3346/jkms.2017.32.4.587
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author Park, Sohyung
Cho, Sohee
Seo, Hee Jin
Lee, Ji Hyun
Kim, Moon-Young
Lee, Soong Deok
author_facet Park, Sohyung
Cho, Sohee
Seo, Hee Jin
Lee, Ji Hyun
Kim, Moon-Young
Lee, Soong Deok
author_sort Park, Sohyung
collection PubMed
description Mitochondrial DNA (mtDNA) genome analysis has been a potent tool in forensic practice as well as in the understanding of human phylogeny in the maternal lineage. The traditional mtDNA analysis is focused on the control region, but the introduction of massive parallel sequencing (MPS) has made the typing of the entire mtDNA genome (mtGenome) more accessible for routine analysis. The complete mtDNA information can provide large amounts of novel genetic data for diverse populations as well as improved discrimination power for identification. The genetic diversity of the mtDNA sequence in different ethnic populations has been revealed through MPS analysis, but the Korean population not only has limited MPS data for the entire mtGenome, the existing data is mainly focused on the control region. In this study, the complete mtGenome data for 186 Koreans, obtained using Ion Torrent Personal Genome Machine (PGM) technology and retrieved from rather common mtDNA haplogroups based on the control region sequence, are described. The results showed that 24 haplogroups, determined with hypervariable regions only, branched into 47 subhaplogroups, and point heteroplasmy was more frequent in the coding regions. In addition, sequence variations in the coding regions observed in this study were compared with those presented in other reports on different populations, and there were similar features observed in the sequence variants for the predominant haplogroups among East Asian populations, such as Haplogroup D and macrohaplogroups M9, G, and D. This study is expected to be the trigger for the development of Korean specific mtGenome data followed by numerous future studies.
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spelling pubmed-53341552017-04-01 Entire Mitochondrial DNA Sequencing on Massively Parallel Sequencing for the Korean Population Park, Sohyung Cho, Sohee Seo, Hee Jin Lee, Ji Hyun Kim, Moon-Young Lee, Soong Deok J Korean Med Sci Original Article Mitochondrial DNA (mtDNA) genome analysis has been a potent tool in forensic practice as well as in the understanding of human phylogeny in the maternal lineage. The traditional mtDNA analysis is focused on the control region, but the introduction of massive parallel sequencing (MPS) has made the typing of the entire mtDNA genome (mtGenome) more accessible for routine analysis. The complete mtDNA information can provide large amounts of novel genetic data for diverse populations as well as improved discrimination power for identification. The genetic diversity of the mtDNA sequence in different ethnic populations has been revealed through MPS analysis, but the Korean population not only has limited MPS data for the entire mtGenome, the existing data is mainly focused on the control region. In this study, the complete mtGenome data for 186 Koreans, obtained using Ion Torrent Personal Genome Machine (PGM) technology and retrieved from rather common mtDNA haplogroups based on the control region sequence, are described. The results showed that 24 haplogroups, determined with hypervariable regions only, branched into 47 subhaplogroups, and point heteroplasmy was more frequent in the coding regions. In addition, sequence variations in the coding regions observed in this study were compared with those presented in other reports on different populations, and there were similar features observed in the sequence variants for the predominant haplogroups among East Asian populations, such as Haplogroup D and macrohaplogroups M9, G, and D. This study is expected to be the trigger for the development of Korean specific mtGenome data followed by numerous future studies. The Korean Academy of Medical Sciences 2017-04 2017-02-17 /pmc/articles/PMC5334155/ /pubmed/28244283 http://dx.doi.org/10.3346/jkms.2017.32.4.587 Text en © 2017 The Korean Academy of Medical Sciences. http://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 (http://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
Park, Sohyung
Cho, Sohee
Seo, Hee Jin
Lee, Ji Hyun
Kim, Moon-Young
Lee, Soong Deok
Entire Mitochondrial DNA Sequencing on Massively Parallel Sequencing for the Korean Population
title Entire Mitochondrial DNA Sequencing on Massively Parallel Sequencing for the Korean Population
title_full Entire Mitochondrial DNA Sequencing on Massively Parallel Sequencing for the Korean Population
title_fullStr Entire Mitochondrial DNA Sequencing on Massively Parallel Sequencing for the Korean Population
title_full_unstemmed Entire Mitochondrial DNA Sequencing on Massively Parallel Sequencing for the Korean Population
title_short Entire Mitochondrial DNA Sequencing on Massively Parallel Sequencing for the Korean Population
title_sort entire mitochondrial dna sequencing on massively parallel sequencing for the korean population
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5334155/
https://www.ncbi.nlm.nih.gov/pubmed/28244283
http://dx.doi.org/10.3346/jkms.2017.32.4.587
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