Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

KoVariome: Korean National Standard Reference Variome database of whole genomes with comprehensive SNV, indel, CNV, and SV analyses

Full metadata record
DC Field Value Language
dc.contributor.authorKim, Jungeun-
dc.contributor.authorWeber, Jessica A.-
dc.contributor.authorJho, Sungwoong-
dc.contributor.authorJang, Jinho-
dc.contributor.authorJun, JeHoon-
dc.contributor.authorCho, Yun Sung-
dc.contributor.authorKim, Hak-Min-
dc.contributor.authorKim, Hyunho-
dc.contributor.authorKim, Yumi-
dc.contributor.authorChung, OkSung-
dc.contributor.authorKim, Chang Geun-
dc.contributor.authorLee, HyeJin-
dc.contributor.authorKim, Byung Chul-
dc.contributor.authorHan, Kyudong-
dc.contributor.authorKoh, InSong-
dc.contributor.authorChae, Kyun Shik-
dc.contributor.authorLee, Semin-
dc.contributor.authorEdwards, Jeremy S.-
dc.contributor.authorBhak, Jong-
dc.date.accessioned2022-07-12T01:40:00Z-
dc.date.available2022-07-12T01:40:00Z-
dc.date.created2021-05-12-
dc.date.issued2018-04-
dc.identifier.issn2045-2322-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/150287-
dc.description.abstractHigh-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.language영어-
dc.language.isoen-
dc.publisherNATURE PUBLISHING GROUP-
dc.titleKoVariome: Korean National Standard Reference Variome database of whole genomes with comprehensive SNV, indel, CNV, and SV analyses-
dc.typeArticle-
dc.contributor.affiliatedAuthorKoh, InSong-
dc.identifier.doi10.1038/s41598-018-23837-x-
dc.identifier.scopusid2-s2.0-85044928829-
dc.identifier.wosid000429095600086-
dc.identifier.bibliographicCitationSCIENTIFIC REPORTS, v.8, pp.1 - 14-
dc.relation.isPartOfSCIENTIFIC REPORTS-
dc.citation.titleSCIENTIFIC REPORTS-
dc.citation.volume8-
dc.citation.startPage1-
dc.citation.endPage14-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.relation.journalWebOfScienceCategoryMultidisciplinary Sciences-
dc.subject.keywordPlusCOPY-NUMBER-VARIATION-
dc.subject.keywordPlusSTRUCTURAL VARIATION-
dc.subject.keywordPlusGENETIC-VARIATION-
dc.subject.keywordPlusSEQUENCING DATA-
dc.subject.keywordPlusWOUDE-SYNDROME-
dc.subject.keywordPlusHUMAN-DISEASE-
dc.subject.keywordPlusCOMMON-CAUSE-
dc.subject.keywordPlusPOPULATION-
dc.subject.keywordPlusMUTATIONS-
dc.subject.keywordPlusDIVERSITY-
dc.identifier.urlhttps://www.nature.com/articles/s41598-018-23837-x-
Files in This Item
Appears in
Collections
서울 의과대학 > 서울 생리학교실 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Koh, In Song photo

Koh, In Song
COLLEGE OF MEDICINE (DEPARTMENT OF PHYSIOLOGY)
Read more

Altmetrics

Total Views & Downloads

BROWSE