KRGDB
KRGDB provides a catalog of genomic variants from whole-genome sequencing of 1,722 Korean individuals to report single nucleotide variants (SNVs) and short insertion/deletion variants, population-specific allele frequencies, functional annotations including ENCODE regulatory elements, and GWAS results for diabetes, hypertension, and metabolic syndrome.
Key Features:
- Variant catalog size: Over 32 million variant sites identified across 1,722 Korean individuals.
- Variant types and sequencing coverage: Includes SNVs and short insertion/deletion variants (indels) derived from whole-genome sequencing with sample-specific coverage: 63 individuals at 10×, 194 at 20×, 135 with combined 10× and 20× coverage, 230 at 30×, and 1,100 at 30×.
- Population-specific frequencies: Allele frequency data specific to the Korean population with comparative frequency information versus other global populations.
- Functional annotation: Variant annotations include regulatory elements from ENCODE regions and coding variant functional consequences.
- GWAS results: Genome-wide association study results from 230 individuals with 30× coverage focusing on diabetes, hypertension, and metabolic syndrome.
Scientific Applications:
- Population genetics: Assess allele frequencies and population-specific variants within the Korean population.
- Disease association studies: Investigate genetic associations with diabetes, hypertension, and metabolic syndrome using integrated GWAS results.
- Functional genomics: Interpret coding and regulatory impacts of variants using ENCODE-based annotations.
- Clinical and translational research: Support personalized medicine and genetic epidemiology investigations in Korean cohorts.
Methodology:
Whole-genome sequencing of 1,722 individuals followed by variant identification and annotation with ENCODE regulatory regions and coding-function assessment, with GWAS analyses performed on 230 individuals at 30× coverage.
Topics
Details
- Tool Type:
- web application
- Programming Languages:
- SQL, Java, JSP
- Added:
- 1/18/2021
- Last Updated:
- 2/12/2021
Operations
Publications
Jung KS, Hong K, Jo HY, Choi J, Ban H, Cho SB, Chung M. KRGDB: the large-scale variant database of 1722 Koreans based on whole genome sequencing. Database. 2020;2020. doi:10.1093/database/baz146. PMID:32133509. PMCID:PMC7056612.