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KoVariome: Korean National Standard Reference Variome database of whole genomes with comprehensive SNV, indel, CNV, and SV analyses
High-coverage whole-genome sequencing data of a single ethnicity can provide a useful catalogue of population-specific genetic variations, and provides a critical resource that can be used to more accurately identify pathogenic genetic variants. We report a comprehensive analysis of the Korean popul...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5885007/ https://www.ncbi.nlm.nih.gov/pubmed/29618732 http://dx.doi.org/10.1038/s41598-018-23837-x |
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author | Kim, Jungeun Weber, Jessica A. Jho, Sungwoong Jang, Jinho Jun, JeHoon Cho, Yun Sung Kim, Hak-Min Kim, Hyunho Kim, Yumi Chung, OkSung Kim, Chang Geun Lee, HyeJin Kim, Byung Chul Han, Kyudong Koh, InSong Chae, Kyun Shik Lee, Semin Edwards, Jeremy S. Bhak, Jong |
author_facet | Kim, Jungeun Weber, Jessica A. Jho, Sungwoong Jang, Jinho Jun, JeHoon Cho, Yun Sung Kim, Hak-Min Kim, Hyunho Kim, Yumi Chung, OkSung Kim, Chang Geun Lee, HyeJin Kim, Byung Chul Han, Kyudong Koh, InSong Chae, Kyun Shik Lee, Semin Edwards, Jeremy S. Bhak, Jong |
author_sort | Kim, Jungeun |
collection | PubMed |
description | High-coverage whole-genome sequencing data of a single ethnicity can provide a useful catalogue of population-specific genetic variations, and provides a critical resource that can be used to more accurately identify pathogenic genetic variants. We report a comprehensive analysis of the Korean population, and present the Korean National Standard Reference Variome (KoVariome). As a part of the Korean Personal Genome Project (KPGP), we constructed the KoVariome database using 5.5 terabases of whole genome sequence data from 50 healthy Korean individuals in order to characterize the benign ethnicity-relevant genetic variation present in the Korean population. In total, KoVariome includes 12.7M single-nucleotide variants (SNVs), 1.7M short insertions and deletions (indels), 4K structural variations (SVs), and 3.6K copy number variations (CNVs). Among them, 2.4M (19%) SNVs and 0.4M (24%) indels were identified as novel. We also discovered selective enrichment of 3.8M SNVs and 0.5M indels in Korean individuals, which were used to filter out 1,271 coding-SNVs not originally removed from the 1,000 Genomes Project when prioritizing disease-causing variants. KoVariome health records were used to identify novel disease-causing variants in the Korean population, demonstrating the value of high-quality ethnic variation databases for the accurate interpretation of individual genomes and the precise characterization of genetic variations. |
format | Online Article Text |
id | pubmed-5885007 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-58850072018-04-09 KoVariome: Korean National Standard Reference Variome database of whole genomes with comprehensive SNV, indel, CNV, and SV analyses Kim, Jungeun Weber, Jessica A. Jho, Sungwoong Jang, Jinho Jun, JeHoon Cho, Yun Sung Kim, Hak-Min Kim, Hyunho Kim, Yumi Chung, OkSung Kim, Chang Geun Lee, HyeJin Kim, Byung Chul Han, Kyudong Koh, InSong Chae, Kyun Shik Lee, Semin Edwards, Jeremy S. Bhak, Jong Sci Rep Article High-coverage whole-genome sequencing data of a single ethnicity can provide a useful catalogue of population-specific genetic variations, and provides a critical resource that can be used to more accurately identify pathogenic genetic variants. We report a comprehensive analysis of the Korean population, and present the Korean National Standard Reference Variome (KoVariome). As a part of the Korean Personal Genome Project (KPGP), we constructed the KoVariome database using 5.5 terabases of whole genome sequence data from 50 healthy Korean individuals in order to characterize the benign ethnicity-relevant genetic variation present in the Korean population. In total, KoVariome includes 12.7M single-nucleotide variants (SNVs), 1.7M short insertions and deletions (indels), 4K structural variations (SVs), and 3.6K copy number variations (CNVs). Among them, 2.4M (19%) SNVs and 0.4M (24%) indels were identified as novel. We also discovered selective enrichment of 3.8M SNVs and 0.5M indels in Korean individuals, which were used to filter out 1,271 coding-SNVs not originally removed from the 1,000 Genomes Project when prioritizing disease-causing variants. KoVariome health records were used to identify novel disease-causing variants in the Korean population, demonstrating the value of high-quality ethnic variation databases for the accurate interpretation of individual genomes and the precise characterization of genetic variations. Nature Publishing Group UK 2018-04-04 /pmc/articles/PMC5885007/ /pubmed/29618732 http://dx.doi.org/10.1038/s41598-018-23837-x Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Kim, Jungeun Weber, Jessica A. Jho, Sungwoong Jang, Jinho Jun, JeHoon Cho, Yun Sung Kim, Hak-Min Kim, Hyunho Kim, Yumi Chung, OkSung Kim, Chang Geun Lee, HyeJin Kim, Byung Chul Han, Kyudong Koh, InSong Chae, Kyun Shik Lee, Semin Edwards, Jeremy S. Bhak, Jong KoVariome: Korean National Standard Reference Variome database of whole genomes with comprehensive SNV, indel, CNV, and SV analyses |
title | KoVariome: Korean National Standard Reference Variome database of whole genomes with comprehensive SNV, indel, CNV, and SV analyses |
title_full | KoVariome: Korean National Standard Reference Variome database of whole genomes with comprehensive SNV, indel, CNV, and SV analyses |
title_fullStr | KoVariome: Korean National Standard Reference Variome database of whole genomes with comprehensive SNV, indel, CNV, and SV analyses |
title_full_unstemmed | KoVariome: Korean National Standard Reference Variome database of whole genomes with comprehensive SNV, indel, CNV, and SV analyses |
title_short | KoVariome: Korean National Standard Reference Variome database of whole genomes with comprehensive SNV, indel, CNV, and SV analyses |
title_sort | kovariome: korean national standard reference variome database of whole genomes with comprehensive snv, indel, cnv, and sv analyses |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5885007/ https://www.ncbi.nlm.nih.gov/pubmed/29618732 http://dx.doi.org/10.1038/s41598-018-23837-x |
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