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GWAS Study

Loci associated with N-glycosylation of human immunoglobulin G show pleiotropy with autoimmune diseases and haematological cancers.

Lauc G, Huffman JE, Pučić M et al.

23382691 PubMed ID
GWAS Study Type
2247 Participants
83 Views
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

LG
Lauc G
HJ
Huffman JE
PM
Pučić M
ZL
Zgaga L
AB
Adamczyk B
MA
Mužinić A
NM
Novokmet M
PO
Polašek O
GO
Gornik O
KJ
Krištić J
KT
Keser T
VV
Vitart V
SB
Scheijen B
UH
Uh HW
MM
Molokhia M
PA
Patrick AL
MP
McKeigue P
KI
Kolčić I
LI
Lukić IK
SO
Swann O
VL
van Leeuwen FN
RL
Ruhaak LR
HJ
Houwing-Duistermaat JJ
SP
Slagboom PE
BM
Beekman M
DC
de Craen AJ
DA
Deelder AM
ZQ
Zeng Q
WW
Wang W
HN
Hastie ND
GU
Gyllensten U
WJ
Wilson JF
WM
Wuhrer M
WA
Wright AF
RP
Rudd PM
HC
Hayward C
AY
Aulchenko Y
CH
Campbell H
RI
Rudan I
Chapter II

Abstract

Summary of the research findings

Glycosylation of immunoglobulin G (IgG) influences IgG effector function by modulating binding to Fc receptors. To identify genetic loci associated with IgG glycosylation, we quantitated N-linked IgG glycans using two approaches. After isolating IgG from human plasma, we performed 77 quantitative measurements of N-glycosylation using ultra-performance liquid chromatography (UPLC) in 2,247 individuals from four European discovery populations. In parallel, we measured IgG N-glycans using MALDI-TOF mass spectrometry (MS) in a replication cohort of 1,848 Europeans. Meta-analysis of genome-wide association study (GWAS) results identified 9 genome-wide significant loci (P<2.27 × 10(-9)) in the discovery analysis and two of the same loci (B4GALT1 and MGAT3) in the replication cohort. Four loci contained genes encoding glycosyltransferases (ST6GAL1, B4GALT1, FUT8, and MGAT3), while the remaining 5 contained genes that have not been previously implicated in protein glycosylation (IKZF1, IL6ST-ANKRD55, ABCF2-SMARCD3, SUV420H1, and SMARCB1-DERL3). However, most of them have been strongly associated with autoimmune and inflammatory conditions (e.g., systemic lupus erythematosus, rheumatoid arthritis, ulcerative colitis, Crohn's disease, diabetes type 1, multiple sclerosis, Graves' disease, celiac disease, nodular sclerosis) and/or haematological cancers (acute lymphoblastic leukaemia, Hodgkin lymphoma, and multiple myeloma). Follow-up functional experiments in haplodeficient Ikzf1 knock-out mice showed the same general pattern of changes in IgG glycosylation as identified in the meta-analysis. As IKZF1 was associated with multiple IgG N-glycan traits, we explored biomarker potential of affected N-glycans in 101 cases with SLE and 183 matched controls and demonstrated substantial discriminative power in a ROC-curve analysis (area under the curve = 0.842). Our study shows that it is possible to identify new loci that control glycosylation of a single plasma protein using GWAS. The results may also provide an explanation for the reported pleiotropy and antagonistic effects of loci involved in autoimmune diseases and haematological cancer.

2,247 European ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

2247
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
Sweden, U.K., Croatia, Netherlands
Recruitment Country
Chapter IV

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