A Genome-Wide Association Study of Metabolic Syndrome in the Taiwanese Population.
GWAS
Taiwan biobank
diabetes mellitus
high-density lipoprotein cholesterol
hypertension
metabolic syndrome
single nucleotide polymorphism
triglyceride
waist circumference
Journal
Nutrients
ISSN: 2072-6643
Titre abrégé: Nutrients
Pays: Switzerland
ID NLM: 101521595
Informations de publication
Date de publication:
25 Dec 2023
25 Dec 2023
Historique:
received:
08
11
2023
revised:
18
12
2023
accepted:
19
12
2023
medline:
11
1
2024
pubmed:
11
1
2024
entrez:
11
1
2024
Statut:
epublish
Résumé
The purpose of this study was to investigate genetic factors associated with metabolic syndrome (MetS) by conducting a large-scale genome-wide association study (GWAS) in Taiwan, addressing the limited data on Asian populations compared to Western populations. Using data from the Taiwan Biobank, comprehensive clinical and genetic information from 107,230 Taiwanese individuals was analyzed. Genotyping data from the TWB1.0 and TWB2.0 chips, including over 650,000 single nucleotide polymorphisms (SNPs), were utilized. Genotype imputation using the 1000 Genomes Project was performed, resulting in more than 9 million SNPs. MetS was defined based on a modified version of the Adult Treatment Panel III criteria. Among all participants (mean age: 50 years), 23% met the MetS definition. GWAS analysis identified 549 SNPs significantly associated with MetS, collectively mapping to 10 genomic risk loci. Notable risk loci included rs1004558, rs3812316, rs326, rs4486200, rs2954038, rs10830963, rs662799, rs62033400, rs183130, and rs34342646. Gene-set analysis revealed 22 associated genes:
Identifiants
pubmed: 38201907
pii: nu16010077
doi: 10.3390/nu16010077
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Kaohsiung Medical University
ID : KMU-TC111A01-1
Organisme : Kaohsiung Medical University
ID : KMUTC111IFSP01