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Multivariate Genome-Wide Association Analysis of a Cytokine Network Reveals Variants with Widespread Immune, Haematological, and Cardiometabolic Pleiotropy.

Nath AP, Ritchie SC, Grinberg NF et al.

31679650 PubMed ID
GWAS Study Type
9263 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

NA
Nath AP
RS
Ritchie SC
GN
Grinberg NF
TH
Tang HH
HQ
Huang QQ
TS
Teo SM
AA
Ahola-Olli AV
WP
Würtz P
HA
Havulinna AS
SK
Santalahti K
PN
Pitkänen N
LT
Lehtimäki T
KM
Kähönen M
LL
Lyytikäinen LP
RE
Raitoharju E
SI
Seppälä I
SA
Sarin AP
RS
Ripatti S
PA
Palotie A
PM
Perola M
VJ
Viikari JS
JS
Jalkanen S
MM
Maksimow M
SM
Salmi M
WC
Wallace C
RO
Raitakari OT
SV
Salomaa V
AG
Abraham G
KJ
Kettunen J
IM
Inouye M
Chapter II

Abstract

Summary of the research findings

Cytokines are essential regulatory components of the immune system, and their aberrant levels have been linked to many disease states. Despite increasing evidence that cytokines operate in concert, many of the physiological interactions between cytokines, and the shared genetic architecture that underlies them, remain unknown. Here, we aimed to identify and characterize genetic variants with pleiotropic effects on cytokines. Using three population-based cohorts (n = 9,263), we performed multivariate genome-wide association studies (GWAS) for a correlation network of 11 circulating cytokines, then combined our results in meta-analysis. We identified a total of eight loci significantly associated with the cytokine network, of which two (PDGFRB and ABO) had not been detected previously. In addition, conditional analyses revealed a further four secondary signals at three known cytokine loci. Integration, through the use of Bayesian colocalization analysis, of publicly available GWAS summary statistics with the cytokine network associations revealed shared causal variants between the eight cytokine loci and other traits; in particular, cytokine network variants at the ABO, SERPINE2, and ZFPM2 loci showed pleiotropic effects on the production of immune-related proteins, on metabolic traits such as lipoprotein and lipid levels, on blood-cell-related traits such as platelet count, and on disease traits such as coronary artery disease and type 2 diabetes.

9,263 Finnish ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

9263
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
Finland
Recruitment Country
Chapter IV

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