Menu
Currency
GWAS Study

Multiple genotype-phenotype association study reveals intronic variant pair on SIDT2 associated with metabolic syndrome in a Korean population.

Moon S, Lee Y, Won S et al.

30382898 PubMed ID
GWAS Study Type
10036 Participants
62 Views
Scroll to explore
Chapter I

Publication Details

Comprehensive information about this research publication

Authors

MS
Moon S
LY
Lee Y
WS
Won S
LJ
Lee J
Chapter II

Abstract

Summary of the research findings

Metabolic syndrome is a risk factor for type 2 diabetes and cardiovascular disease. We identified common genetic variants that alter the risk for metabolic syndrome in the Korean population. To isolate these variants, we conducted a multiple-genotype and multiple-phenotype genome-wide association analysis using the family-based quasi-likelihood score (MFQLS) test. For this analysis, we used 7211 and 2838 genotyped study subjects for discovery and replication, respectively. We also performed a multiple-genotype and multiple-phenotype analysis of a gene-based single-nucleotide polymorphism (SNP) set.

1,328 Korean ancestry cases, 5,870 Korean ancestry controls

Chapter III

Study Statistics

Key metrics and study information

10036
Total Participants
GWAS
Study Type
Yes
Replicated
309 Korean ancestry cases, 2,529 Korean ancestry controls
Replication Participants
East Asian
Ancestry
Republic of Korea
Recruitment Country
Chapter IV

AI-Generated Summary

AI-generated by DNAGENICS

Independent AI summary of health and genetic findings from the published study

Important: This summary is AI-generated by DNAGENICS for informational purposes only. It was not created by, affiliated with, or endorsed by the researchers behind the original publication, and is based solely on that published research. It may contain errors or omissions. DNAGENICS disclaims all liability for any inaccuracies or consequences arising from use of this information. Verify all information against the original publication. This is not professional scientific review or medical advice.

AI Summary In Progress

Our AI-generated summary of this publication is being prepared. Please check back soon.