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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.
Afiliación
  • Jeon S; Korean Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea.
  • Bhak Y; Department of Biomedical Engineering, School of Life Sciences, UNIST, Ulsan 44919, Republic of Korea.
  • Choi Y; Korean Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea.
  • Jeon Y; Department of Biomedical Engineering, School of Life Sciences, UNIST, Ulsan 44919, Republic of Korea.
  • Kim S; Clinomics Inc., Ulsan 44919, Republic of Korea.
  • Jang J; Korean Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea.
  • Jang J; Department of Biomedical Engineering, School of Life Sciences, UNIST, Ulsan 44919, Republic of Korea.
  • Blazyte A; Korean Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea.
  • Kim C; Department of Biomedical Engineering, School of Life Sciences, UNIST, Ulsan 44919, Republic of Korea.
  • Kim Y; Korean Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea.
  • Shim J; Department of Biomedical Engineering, School of Life Sciences, UNIST, Ulsan 44919, Republic of Korea.
  • Kim N; Korean Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea.
  • Kim YJ; Korean Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea.
  • Park SG; Department of Biomedical Engineering, School of Life Sciences, UNIST, Ulsan 44919, Republic of Korea.
  • Kim J; Korean Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea.
  • Cho YS; Korean Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea.
  • Park Y; Clinomics Inc., Ulsan 44919, Republic of Korea.
  • Kim HM; Korean Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea.
  • Kim BC; Korean Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea.
  • Park NH; Korean Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea.
  • Shin ES; Korean Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea.
  • Kim BC; Korean Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea.
  • Bolser D; Personal Genomics Institute (PGI), Genome Research Foundation (GRF), Osong 28160, Republic of Korea.
  • Manica A; Clinomics Inc., Ulsan 44919, Republic of Korea.
  • Edwards JS; Clinomics Inc., Ulsan 44919, Republic of Korea.
  • Church G; Korean Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea.
  • Lee S; Department of Biomedical Engineering, School of Life Sciences, UNIST, Ulsan 44919, Republic of Korea.
  • Bhak J; Clinomics Inc., Ulsan 44919, Republic of Korea.
Sci Adv ; 6(22): eaaz7835, 2020 05.
Article en En | MEDLINE | ID: mdl-32766443
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Genoma Humano / Estudio de Asociación del Genoma Completo Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Sci Adv Año: 2020 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Genoma Humano / Estudio de Asociación del Genoma Completo Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Sci Adv Año: 2020 Tipo del documento: Article Pais de publicación: Estados Unidos