Sign in
GenomicsScientific Reports
Peer-reviewed journal article

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

Jung‐Eun KimiD, Jessica A. WeberiD, Sungwoong Jho, Jinho JangiD, JeHoon JuniD, Yun Sung ChoiD, Hak‐Min KimiD, Hyunho KimiD, Yumi KimiD, Oksung Chung, Chang-Geun KimiD, Hye-Jin LeeiD, Byung Chul KimiD, Kyudong HaniD, InSong Koh, Kyun Shik ChaeiD, Semin LeeiD, Jeremy S. EdwardsiD, Jong BhakiD

Abstract

High-coverage whole-genome sequencing data of a single ethnicity can provide a useful catalogue of population-specific genetic variations. Herein, 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 with an average coverage depth of 31x. 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 data when prioritizing disease-causing variants. CNV analyses revealed gene losses related to bone mineral densities and duplicated genes involved in brain development and fat reduction. Finally, 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.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISShin '26An '25Oleksyk '21Tran '26Jeon '24Ou '22
63% semantic matchGenetic & Genomic Medicine
Dong-Hyun Shin, Jongbum Jeon, Soobok Joe+16 more·medRxiv·Jul 9, 2026