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이세민

Lee, Semin
Computational Biology Lab.
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dc.citation.number 1 -
dc.citation.startPage 5677 -
dc.citation.title SCIENTIFIC REPORTS -
dc.citation.volume 8 -
dc.contributor.author Kim, Jungeun -
dc.contributor.author Weber, Jessica A. -
dc.contributor.author Jho, Sungwoong -
dc.contributor.author Jang, Jinho -
dc.contributor.author Jun, JeHoon -
dc.contributor.author Cho, Yun Sung -
dc.contributor.author Kim, Hak-Min -
dc.contributor.author Kim, Hyunho -
dc.contributor.author Kim, Yumi -
dc.contributor.author Chung, OkSung -
dc.contributor.author Kim, Chang Geun -
dc.contributor.author Lee, HyeJin -
dc.contributor.author Kim, Byung Chul -
dc.contributor.author Han, Kyudong -
dc.contributor.author Koh, InSong -
dc.contributor.author Chae, Kyun Shik -
dc.contributor.author Lee, Semin -
dc.contributor.author Edwards, Jeremy S. -
dc.contributor.author Bhak, Jong -
dc.date.accessioned 2023-12-21T20:51:08Z -
dc.date.available 2023-12-21T20:51:08Z -
dc.date.created 2018-05-09 -
dc.date.issued 2018-04 -
dc.description.abstract 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 -
dc.identifier.bibliographicCitation SCIENTIFIC REPORTS, v.8, no.1, pp.5677 -
dc.identifier.doi 10.1038/s41598-018-23837-x -
dc.identifier.issn 2045-2322 -
dc.identifier.scopusid 2-s2.0-85044928829 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/24113 -
dc.identifier.url https://www.nature.com/articles/s41598-018-23837-x -
dc.identifier.wosid 000429095600086 -
dc.language 영어 -
dc.publisher NATURE PUBLISHING GROUP -
dc.title KoVariome: Korean National Standard Reference Variome database of whole genomes with comprehensive SNV, indel, CNV, and SV analyses -
dc.type Article -
dc.description.isOpenAccess TRUE -
dc.relation.journalWebOfScienceCategory Multidisciplinary Sciences -
dc.relation.journalResearchArea Science & Technology - Other Topics -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordPlus COPY-NUMBER-VARIATION -
dc.subject.keywordPlus STRUCTURAL VARIATION -
dc.subject.keywordPlus GENETIC-VARIATION -
dc.subject.keywordPlus SEQUENCING DATA -
dc.subject.keywordPlus WOUDE-SYNDROME -
dc.subject.keywordPlus HUMAN-DISEASE -
dc.subject.keywordPlus COMMON-CAUSE -
dc.subject.keywordPlus POPULATION -
dc.subject.keywordPlus MUTATIONS -
dc.subject.keywordPlus DIVERSITY -

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