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GWAS Study

Understanding the genetic architecture of the metabolically unhealthy normal weight and metabolically healthy obese phenotypes in a Korean population.

Park JM, Park DH, Song Y et al.

33500527 PubMed ID
GWAS Study Type
16091 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

PJ
Park JM
PD
Park DH
SY
Song Y
KJ
Kim JO
CJ
Choi JE
KY
Kwon YJ
KS
Kim SJ
LJ
Lee JW
HK
Hong KW
Chapter II

Abstract

Summary of the research findings

Understanding the mechanisms underlying the metabolically unhealthy normal weight (MUHNW) and metabolically healthy obese (MHO) phenotypes is important for developing strategies to prevent cardiometabolic diseases. Here, we conducted genome-wide association studies (GWASs) to identify the MUHNW and MHO genetic indices. The study dataset comprised genome-wide single-nucleotide polymorphism genotypes and epidemiological data from 49,915 subjects categorised into four phenotypes-metabolically healthy normal weight (MHNW), MUHNW, MHO, and metabolically unhealthy obese (MUHO). We conducted two GWASs using logistic regression analyses and adjustments for confounding variables (model 1: MHNW versus MUHNW and model 2: MHO versus MUHO). GCKR, ABCB11, CDKAL1, LPL, CDKN2B, NT5C2, APOA5, CETP, and APOC1 were associated with metabolically unhealthy phenotypes among normal weight individuals (model 1). LPL, APOA5, and CETP were associated with metabolically unhealthy phenotypes among obese individuals (model 2). The genes common to both models are related to lipid metabolism (LPL, APOA5, and CETP), and those associated with model 1 are related to insulin or glucose metabolism (GCKR, CDKAL1, and CDKN2B). This study reveals the genetic architecture of the MUHNW and MHO phenotypes in a Korean population-based cohort. These findings could help identify individuals at a high metabolic risk in normal weight and obese populations and provide potential novel targets for the management of metabolically unhealthy phenotypes.

9,083 Korean ancestry cases, 7,008 Korean ancestry controls

Chapter III

Study Statistics

Key metrics and study information

16091
Total Participants
GWAS
Study Type
No
Replicated
East Asian
Ancestry
Republic of Korea
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

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