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Lee, Semin
Computational Biology Lab.
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Korean Genome Project: 1,094 Korean personal genomes with clinical information

Author(s)
Jeon, SungwonBhak, YoungjuneChoi, YeonsongJeon, YeonsuKim, SeunghoonJang, JaeyoungJang, JinhoBlazyte, AstaKim, ChangjaeKim, YeonkyungShim, JungaeKim, NayeongKim, Yeo JinPark, Seung GuKim, JungeunCho, Yun SungPark, YeshinKim, Hak-MinKim, Byoung-ChulPark, Neung-HwaShin, Eun-SeokKim, Byung ChulBolser, DanManica, AndreaEdwards, Jeremy SChurch, GeorgeLee, SeminBhak, Jong
Issued Date
2020-05
DOI
10.1126/sciadv.aaz7835
URI
https://scholarworks.unist.ac.kr/handle/201301/31850
Fulltext
https://advances.sciencemag.org/content/6/22/eaaz7835.abstract
Citation
SCIENCE ADVANCES, v.6, no.22, pp.eaaz7835
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.
Publisher
American Association for the Advancement of Science
ISSN
2375-2548

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