The contribution of common and rare genetic variants to variation in metabolic traits in 288,137 East Asians

Metabolic traits are heritable phenotypes widely-used in assessing the risk of various diseases. We conduct a genome-wide association analysis (GWAS) of nine metabolic traits (including glycemic, lipid, liver enzyme levels) in 125,872 Korean subjects genotyped with the Korea Biobank Array. Following...

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Bibliographic Details
Published in:Nature communications 2022-11, Vol.13 (1), p.6642-6642, Article 6642
Main Authors: Kim, Young Jin, Moon, Sanghoon, Hwang, Mi Yeong, Han, Sohee, Jang, Hye-Mi, Kong, Jinhwa, Shin, Dong Mun, Yoon, Kyungheon, Kim, Sung Min, Lee, Jong-Eun, Mahajan, Anubha, Park, Hyun-Young, McCarthy, Mark I., Cho, Yoon Shin, Kim, Bong-Jo
Format: Article
Language:English
Subjects:
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Asian People - genetics
Association analysis
Biobanks
Blood Glucose - genetics
Diabetes mellitus (non-insulin dependent)
Diabetes Mellitus, Type 2 - genetics
Genetic diversity
Genetic Predisposition to Disease
Genetic variance
Genetic Variation
Genome-Wide Association Study
Genomes
Health risk assessment
Health risks
Humanities and Social Sciences
Humans
Lipids
Meta-analysis
Metabolism
multidisciplinary
Phenotype
Phenotypes
Polygenic inheritance
Polymorphism, Single Nucleotide
Predictions
Risk assessment
Science
Science (multidisciplinary)
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Summary:Metabolic traits are heritable phenotypes widely-used in assessing the risk of various diseases. We conduct a genome-wide association analysis (GWAS) of nine metabolic traits (including glycemic, lipid, liver enzyme levels) in 125,872 Korean subjects genotyped with the Korea Biobank Array. Following meta-analysis with GWAS from Biobank Japan identify 144 novel signals (MAF ≥ 1%), of which 57.0% are replicated in UK Biobank. Additionally, we discover 66 rare (MAF 
ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-022-34163-2