| Title: | Genome-wide study on 72,298 individuals in Korean biobank data for 76 traits |
| Journal: | Cell Genomics |
| Published: | 5 Oct 2022 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/36777999/ |
| DOI: | https://doi.org/10.1016/j.xgen.2022.100189 |
Publication 10543
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Abstract
Genome-wide association studies (GWAS) on diverse ancestry groups are lacking, resulting in deficits of genetic discoveries and polygenic scores. We conducted GWAS for 76 phenotypes in Korean biobank data, namely the Korean Genome and Epidemiology Study (KoGES) (n = 72,298). Our analysis discovered 2,242 associated loci, including 122 novel associations, many of which were replicated in Biobank Japan (BBJ) GWAS. We also applied several up-to-date methods for genetic association tests to increase the power, discovering additional associations that are not identified in simple case-control GWAS. We evaluated genetic pleiotropy to investigate genes associated with multiple traits. Following meta-analysis of 32 phenotypes between KoGES and BBJ, we further identified 379 novel associations and demonstrated the improved predictive performance of polygenic risk scores by using the meta-analysis results. The summary statistics of 76 KoGES GWAS phenotypes are publicly available, contributing to a better comprehension of the genetic architecture of the East Asian population.</p>
3 Authors
- Kisung Nam
- Jangho Kim
- Seunggeun Lee
1 Application
| Application ID | Title |
|---|---|
| 45227 | Scalable and Robust methods for biobank data analysis |
Enabling scientific discoveries that improve human health