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Korean Genome Project: 1094 Korean personal genomes with clinical information

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 d...

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Autores principales: Jeon, Sungwon, Bhak, Youngjune, Choi, Yeonsong, Jeon, Yeonsu, Kim, Seunghoon, Jang, Jaeyoung, Jang, Jinho, Blazyte, Asta, Kim, Changjae, Kim, Yeonkyung, Shim, Jungae, Kim, Nayeong, Kim, Yeo Jin, Park, Seung Gu, Kim, Jungeun, Cho, Yun Sung, Park, Yeshin, Kim, Hak-Min, Kim, Byoung-Chul, Park, Neung-Hwa, Shin, Eun-Seok, Kim, Byung Chul, Bolser, Dan, Manica, Andrea, Edwards, Jeremy S., Church, George, Lee, Semin, Bhak, Jong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7385432/
https://www.ncbi.nlm.nih.gov/pubmed/32766443
http://dx.doi.org/10.1126/sciadv.aaz7835
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author Jeon, Sungwon
Bhak, Youngjune
Choi, Yeonsong
Jeon, Yeonsu
Kim, Seunghoon
Jang, Jaeyoung
Jang, Jinho
Blazyte, Asta
Kim, Changjae
Kim, Yeonkyung
Shim, Jungae
Kim, Nayeong
Kim, Yeo Jin
Park, Seung Gu
Kim, Jungeun
Cho, Yun Sung
Park, Yeshin
Kim, Hak-Min
Kim, Byoung-Chul
Park, Neung-Hwa
Shin, Eun-Seok
Kim, Byung Chul
Bolser, Dan
Manica, Andrea
Edwards, Jeremy S.
Church, George
Lee, Semin
Bhak, Jong
author_facet Jeon, Sungwon
Bhak, Youngjune
Choi, Yeonsong
Jeon, Yeonsu
Kim, Seunghoon
Jang, Jaeyoung
Jang, Jinho
Blazyte, Asta
Kim, Changjae
Kim, Yeonkyung
Shim, Jungae
Kim, Nayeong
Kim, Yeo Jin
Park, Seung Gu
Kim, Jungeun
Cho, Yun Sung
Park, Yeshin
Kim, Hak-Min
Kim, Byoung-Chul
Park, Neung-Hwa
Shin, Eun-Seok
Kim, Byung Chul
Bolser, Dan
Manica, Andrea
Edwards, Jeremy S.
Church, George
Lee, Semin
Bhak, Jong
author_sort Jeon, Sungwon
collection PubMed
description 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.
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spelling pubmed-73854322020-08-05 Korean Genome Project: 1094 Korean personal genomes with clinical information Jeon, Sungwon Bhak, Youngjune Choi, Yeonsong Jeon, Yeonsu Kim, Seunghoon Jang, Jaeyoung Jang, Jinho Blazyte, Asta Kim, Changjae Kim, Yeonkyung Shim, Jungae Kim, Nayeong Kim, Yeo Jin Park, Seung Gu Kim, Jungeun Cho, Yun Sung Park, Yeshin Kim, Hak-Min Kim, Byoung-Chul Park, Neung-Hwa Shin, Eun-Seok Kim, Byung Chul Bolser, Dan Manica, Andrea Edwards, Jeremy S. Church, George Lee, Semin Bhak, Jong Sci Adv Research Articles 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. American Association for the Advancement of Science 2020-05-27 /pmc/articles/PMC7385432/ /pubmed/32766443 http://dx.doi.org/10.1126/sciadv.aaz7835 Text en Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
spellingShingle Research Articles
Jeon, Sungwon
Bhak, Youngjune
Choi, Yeonsong
Jeon, Yeonsu
Kim, Seunghoon
Jang, Jaeyoung
Jang, Jinho
Blazyte, Asta
Kim, Changjae
Kim, Yeonkyung
Shim, Jungae
Kim, Nayeong
Kim, Yeo Jin
Park, Seung Gu
Kim, Jungeun
Cho, Yun Sung
Park, Yeshin
Kim, Hak-Min
Kim, Byoung-Chul
Park, Neung-Hwa
Shin, Eun-Seok
Kim, Byung Chul
Bolser, Dan
Manica, Andrea
Edwards, Jeremy S.
Church, George
Lee, Semin
Bhak, Jong
Korean Genome Project: 1094 Korean personal genomes with clinical information
title Korean Genome Project: 1094 Korean personal genomes with clinical information
title_full Korean Genome Project: 1094 Korean personal genomes with clinical information
title_fullStr Korean Genome Project: 1094 Korean personal genomes with clinical information
title_full_unstemmed Korean Genome Project: 1094 Korean personal genomes with clinical information
title_short Korean Genome Project: 1094 Korean personal genomes with clinical information
title_sort korean genome project: 1094 korean personal genomes with clinical information
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7385432/
https://www.ncbi.nlm.nih.gov/pubmed/32766443
http://dx.doi.org/10.1126/sciadv.aaz7835
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