Menu
Currency
GWAS Study

Genome-wide screen for metabolic syndrome susceptibility Loci reveals strong lipid gene contribution but no evidence for common genetic basis for clustering of metabolic syndrome traits.

Kristiansson K, Perola M, Tikkanen E et al.

22399527 PubMed ID
GWAS Study Type
10564 Participants
119 Views
Scroll to explore
Chapter I

Publication Details

Comprehensive information about this research publication

Authors

KK
Kristiansson K
PM
Perola M
TE
Tikkanen E
KJ
Kettunen J
SI
Surakka I
HA
Havulinna AS
SA
Stancáková A
BC
Barnes C
WE
Widen E
KE
Kajantie E
EJ
Eriksson JG
VJ
Viikari J
KM
Kähönen M
LT
Lehtimäki T
RO
Raitakari OT
HA
Hartikainen AL
RA
Ruokonen A
PA
Pouta A
JA
Jula A
KA
Kangas AJ
SP
Soininen P
AM
Ala-Korpela M
MS
Männistö S
JP
Jousilahti P
BL
Bonnycastle LL
JM
Järvelin MR
KJ
Kuusisto J
CF
Collins FS
LM
Laakso M
HM
Hurles ME
PA
Palotie A
PL
Peltonen L
RS
Ripatti S
SV
Salomaa V
Chapter II

Abstract

Summary of the research findings

Genome-wide association (GWA) studies have identified several susceptibility loci for metabolic syndrome (MetS) component traits, but have had variable success in identifying susceptibility loci to the syndrome as an entity. We conducted a GWA study on MetS and its component traits in 4 Finnish cohorts consisting of 2637 MetS cases and 7927 controls, both free of diabetes, and followed the top loci in an independent sample with transcriptome and nuclear magnetic resonance-based metabonomics data. Furthermore, we tested for loci associated with multiple MetS component traits using factor analysis, and built a genetic risk score for MetS.

2,637 European ancestry cases, 7,927 European ancestry controls

Chapter III

Study Statistics

Key metrics and study information

10564
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
Finland
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.