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...

Full description

Saved in:
Bibliographic Details
Published in:Nature communications Vol. 13; no. 1; pp. 6642 - 13
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: Journal Article
Language:English
Published: London Nature Publishing Group UK 04.11.2022
Nature Publishing Group
Nature Portfolio
Subjects:
45
45/23
45/43
49
49/61
631/208/205/2138
631/208/457/649/2219
692/53
692/699/2743
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)
ISSN:2041-1723, 2041-1723
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
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 < 1%) variants, 94.4% of them co-incident to common loci, adding to allelic series. Although rare variants have limited contribution to overall trait variance, these lead, in carriers, substantial loss of predictive accuracy from polygenic predictions of disease risk from common variant alone. We capture groups with up to 16-fold variation in type 2 diabetes (T2D) prevalence by integration of genetic risk scores of fasting plasma glucose and T2D and the I349F rare protective variant. This study highlights the need to consider the joint contribution of both common and rare variants on inherited risk of metabolic traits and related diseases. Metabolic traits are heritable intermediate phenotypes widely used in assessing the risk of various diseases. By conducting a genome-wide meta-analysis for metabolic traits in 288,137 East Asians, the authors highlight the interplay of common and rare variants on inherited risk of metabolic traits.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ObjectType-Article-2
ObjectType-Feature-1
content type line 23
ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-022-34163-2