4.7 Article

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

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SCIENTIFIC REPORTS
卷 8, 期 -, 页码 -

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NATURE PUBLISHING GROUP
DOI: 10.1038/s41598-018-23837-x

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资金

  1. Ulsan National Institute of Science & Technology (UNIST) [1.140113.01, 1.150014.01, 1.160052.01]
  2. Ministry of Trade, Industry & Energy (MOTIE, Korea) under Industrial Technology Innovation Programs 'National Center for standard Reference Data' [10075262]
  3. Civil-Military Technology Cooperation Program [14-BR-SS-03]
  4. Next-Generation Information Computing Development Program through the National Research Foundation of Korea (NRF) - Ministry of Science, ICT & Future Planning [NRF-2016M3C4A7952635]
  5. Collaborative Genome Program for Fostering New Post-Genome Industry of the National Research Foundation (NRF) - Ministry of Science and ICT (MSIT) [NRF-2017M3C9A6047623]
  6. Genome Korea Project in Ulsan Research Fund of UNIST [1.180024.01]
  7. NATIONAL HUMAN GENOME RESEARCH INSTITUTE [R01HG006876] Funding Source: NIH RePORTER

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High-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.

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