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Lee, Semin
Computational Biology Lab.
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dc.citation.number 22 -
dc.citation.startPage eaaz7835 -
dc.citation.title SCIENCE ADVANCES -
dc.citation.volume 6 -
dc.contributor.author Jeon, Sungwon -
dc.contributor.author Bhak, Youngjune -
dc.contributor.author Choi, Yeonsong -
dc.contributor.author Jeon, Yeonsu -
dc.contributor.author Kim, Seunghoon -
dc.contributor.author Jang, Jaeyoung -
dc.contributor.author Jang, Jinho -
dc.contributor.author Blazyte, Asta -
dc.contributor.author Kim, Changjae -
dc.contributor.author Kim, Yeonkyung -
dc.contributor.author Shim, Jungae -
dc.contributor.author Kim, Nayeong -
dc.contributor.author Kim, Yeo Jin -
dc.contributor.author Park, Seung Gu -
dc.contributor.author Kim, Jungeun -
dc.contributor.author Cho, Yun Sung -
dc.contributor.author Park, Yeshin -
dc.contributor.author Kim, Hak-Min -
dc.contributor.author Kim, Byoung-Chul -
dc.contributor.author Park, Neung-Hwa -
dc.contributor.author Shin, Eun-Seok -
dc.contributor.author Kim, Byung Chul -
dc.contributor.author Bolser, Dan -
dc.contributor.author Manica, Andrea -
dc.contributor.author Edwards, Jeremy S -
dc.contributor.author Church, George -
dc.contributor.author Lee, Semin -
dc.contributor.author Bhak, Jong -
dc.date.accessioned 2023-12-21T17:39:23Z -
dc.date.available 2023-12-21T17:39:23Z -
dc.date.created 2020-04-02 -
dc.date.issued 2020-05 -
dc.description.abstract We present the initial phase of the Korean Genome Project (Korea1K), including 1094 whole genomes (sequenced at an average depth of 31×), along with data of 79 quantitative clinical traits. We identified 39 million single-nucleotide variants and indels of which half were singleton or doubleton and detected Korean-specific patterns based on several types of genomic variations. A genome-wide association study illustrated the power of whole-genome sequences for analyzing clinical traits, identifying nine more significant candidate alleles than previously reported from the same linkage disequilibrium blocks. Also, Korea1K, as a reference, showed better imputation accuracy for Koreans than the 1KGP panel. As proof of utility, germline variants in cancer samples could be filtered out more effectively when the Korea1K variome was used as a panel of normals compared to non-Korean variome sets. Overall, this study shows that Korea1K can be a useful genotypic and phenotypic resource for clinical and ethnogenetic studies. -
dc.identifier.bibliographicCitation SCIENCE ADVANCES, v.6, no.22, pp.eaaz7835 -
dc.identifier.doi 10.1126/sciadv.aaz7835 -
dc.identifier.issn 2375-2548 -
dc.identifier.scopusid 2-s2.0-85086636670 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/31850 -
dc.identifier.url https://advances.sciencemag.org/content/6/22/eaaz7835.abstract -
dc.identifier.wosid 000537238200026 -
dc.language 영어 -
dc.publisher American Association for the Advancement of Science -
dc.title Korean Genome Project: 1,094 Korean personal genomes with clinical information -
dc.type Article -
dc.description.isOpenAccess TRUE -
dc.type.docType Article -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -

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