Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

KRGDB

General information

URL: http://coda.nih.go.kr/coda/KRGDB/index
Full name: Korean Reference Genome Database
Description: The large-scale variant database of 1722 Koreans based on whole genome sequencing
Year founded: 2020
Last update: 2020
Version: 1
Accessibility:
Accessible
Country/Region: Korea, Republic of

Classification & Tag

Data type:
DNA
Data object:
Database category:
Major species:
Keywords:

Contact information

University/Institution: Korea National Institute of Health
Address: Division of Biomedical Informatics, Center for Genome Science, National Institute of Health, KCDC, Cheongju 28159, Republic of Korea
City:
Province/State: Cheongju
Country/Region: Korea, Republic of
Contact name (PI/Team): Myungguen Chung
Contact email (PI/Helpdesk): aobo@korea.kr

Publications

32133509
KRGDB: the large-scale variant database of 1722 Koreans based on whole genome sequencing. [PMID: 32133509]
Kwang Su Jung, Kyung-Won Hong, Hyun Youn Jo, Jongpill Choi, Hyo-Jeong Ban, Seong Beom Cho, Myungguen Chung

Since 2012, the Center for Genome Science of the Korea National Institute of Health (KNIH) has been sequencing complete genomes of 1722 Korean individuals. As a result, more than 32 million variant sites have been identified, and a large proportion of the variant sites have been detected for the first time. In this article, we describe the Korean Reference Genome Database (KRGDB) and its genome browser. The current version of our database contains both single nucleotide and short insertion/deletion variants. The DNA samples were obtained from four different origins and sequenced in different sequencing depths (10× coverage of 63 individuals, 20× coverage of 194 individuals, combined 10× and 20× coverage of 135 individuals, 30× coverage of 230 individuals and 30× coverage of 1100 individuals). The major features of the KRGDB are that it contains information on the Korean genomic variant frequency, frequency difference between the Korean and other populations and the variant functional annotation (such as regulatory elements in ENCODE regions and coding variant functions) of the variant sites. Additionally, we performed the genome-wide association study (GWAS) between Korean genome variant sites for the 30×230 individuals and three major common diseases (diabetes, hypertension and metabolic syndrome). The association results are displayed on our browser. The KRGDB uses the MySQL database and Apache-Tomcat web server adopted with Java Server Page (JSP) and is freely available at http://coda.nih.go.kr/coda/KRGDB/index.jsp. Availability: http://coda.nih.go.kr/coda/KRGDB/index.jsp.

Database (Oxford). 2020:2020() | 9 Citations (from Europe PMC, 2025-12-20)

Ranking

All databases:
4315/6895 (37.433%)
Raw bio-data:
330/582 (43.471%)
Genotype phenotype and variation:
624/1005 (38.01%)
4315
Total Rank
9
Citations
1.8
z-index

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Record metadata

Created on: 2020-11-08
Curated by:
Lin Liu [2021-03-10]
zhu tong [2020-11-25]
zhu tong [2020-11-24]
zhu tong [2020-11-23]
Yitong Pan [2020-11-08]