A database of 5305 healthy Korean individuals reveals genetic and clinical implications for an East Asian population
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Published:2022-11-02
Issue:11
Volume:54
Page:1862-1871
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ISSN:2092-6413
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Container-title:Experimental & Molecular Medicine
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language:en
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Short-container-title:Exp Mol Med
Author:
Lee Jeongeun, Lee Jean, Jeon Sungwon, Lee Jeongha, Jang Insu, Yang Jin Ok, Park Soojin, Lee Byungwook, Choi Jinwook, Choi Byung-Ok, Gee Heon YungORCID, Oh JaeseongORCID, Jang In-Jin, Lee Sanghyuk, Baek Daehyun, Koh Youngil, Yoon Sung-SooORCID, Kim Young-Joon, Chae Jong-Hee, Park Woong-Yang, Bhak Jong Hwa, Choi MurimORCID
Abstract
AbstractDespite substantial advances in disease genetics, studies to date have largely focused on individuals of European descent. This limits further discoveries of novel functional genetic variants in other ethnic groups. To alleviate the paucity of East Asian population genome resources, we established the Korean Variant Archive 2 (KOVA 2), which is composed of 1896 whole-genome sequences and 3409 whole-exome sequences from healthy individuals of Korean ethnicity. This is the largest genome database from the ethnic Korean population to date, surpassing the 1909 Korean individuals deposited in gnomAD. The variants in KOVA 2 displayed all the known genetic features of those from previous genome databases, and we compiled data from Korean-specific runs of homozygosity, positively selected intervals, and structural variants. In doing so, we found loci, such as the loci ofADH1A/1BandUHRF1BP1, that are strongly selected in the Korean population relative to other East Asian populations. Our analysis of allele ages revealed a correlation between variant functionality and evolutionary age. The data can be browsed and downloaded from a public website (https://www.kobic.re.kr/kova/). We anticipate that KOVA 2 will serve as a valuable resource for genetic studies involving East Asian populations.
Funder
National Research Foundation of Korea
Publisher
Springer Science and Business Media LLC
Subject
Clinical Biochemistry,Molecular Biology,Molecular Medicine,Biochemistry
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