Genetic analysis of protein N-Glycosylation
dc.contributor.advisor
Wright, Alan
en
dc.contributor.advisor
Hastie, Nicholas
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dc.contributor.author
Huffman, Jennifer Elizabeth
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dc.contributor.sponsor
Medical Research Council (MRC)
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dc.date.accessioned
2015-04-13T15:14:20Z
dc.date.available
2015-04-13T15:14:20Z
dc.date.issued
2014-11-28
dc.description.abstract
The majority of human proteins are post-translationally modified by covalent addition of one
or more complex oligosaccharides (glycans). Alterations in glycosylation processing are
associated with numerous diseases and glycans are attracting increasing attention both as
disease biomarkers and as targets for novel therapeutic approaches.
Using a recently developed high performance liquid chromatography (HPLC) method for
high-throughput glycan analysis, genome-wide association studies (GWAS) of 33 directly
measured and 13 derived N-glycan features were performed in 3533 individuals from four
European isolated populations. Polymorphisms at six loci were found to show genome-wide
significant association with plasma concentrations of N-glycans. Several of these gene
products have well characterised roles in glycosylation, however, SLC9A9 and HNF1A were
two of the novel findings. Subsequent work performed by collaborators found HNF1A to be
a “master regulator” of genes involved in the fucosylation of plasma N-glycans.
Additionally, this work led to the discovery that N-glycans could act as biomarkers to
discriminate HNF1A-MODY from type 1 and type 2 diabetes mellitus (T1D, T2D) patients.
After the success of the total plasma N-glycan GWAS, it was thought that stronger and more
biologically interpretable associations may be found from the investigation of N-glycans
isolated from a single protein. Glycosylation of immunoglobulin G (IgG) influences IgG
effector function by modulating binding to Fc receptors. To identify genetic networks that
govern IgG glycosylation, N-linked IgG glycans were quantitated using ultra performance
liquid chromatography (UPLC) in 2247 individuals from the same four European
populations from the previous study. GWAS of the 77 N-glycan measures identified 15 loci
with a p-value<5x10-08. Four loci contained genes encoding glycosyltransferases, while the
remaining loci contained genes that have not previously been implicated in protein
glycosylation. However, most have been associated with autoimmune and inflammatory
conditions and/or hematological cancers.
Several high-throughput methods for the analysis of N-glycans have been developed in the
past few years but thorough validation and standardization of these methods is required
before significant resources are invested in large-scale studies. To this end, four of these
methods were compared, UPLC, multiplexed capillary gel electrophoresis (xCGE), and two
mass spectrometric (MS) methods, for quantitative profiling of N-glycosylation of plasma
IgG in a subset of 1201 individuals recruited from two of the cohorts used in the previous
GWAS studies. A “minimal” dataset was compiled of N-glycan structures able to be
measured by all four methods. To evaluate their accuracy, correlations were calculated for
each structure in the minimal dataset. Additionally, GWAS was performed to test if the same
associations would be observed across methodologies. Chromatographic methods with either
fluorescent or MS-detection yielded slightly stronger associations than MS-only and xCGE,
but at the expense of lower levels of throughput. Advantages and disadvantages of each
method were identified, which should aid in the selection of the most appropriate method for
future studies.
This work shows that it is possible to identify new loci that control glycosylation of plasma
proteins using GWAS and the potential of N-glycans for biomarker development. It also
provides some guidelines for methodology selection for future studies of N-glycans.
en
dc.identifier.uri
http://hdl.handle.net/1842/10038
dc.language.iso
en
dc.publisher
The University of Edinburgh
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dc.relation.hasversion
Lauc G, Essafi A, Huffman JE, Hayward C, Knežević A, et al. (2010) Genomics meets glycomics-the first GWAS study of human N-Glycome identifies HNF1α as a master regulator of plasma protein fucosylation. PLoS Genet 6: e1001256. URL: http://www.plosgenetics.org/article/info%3Adoi%2F10.1371%2Fjournal.pgen.1001256
en
dc.relation.hasversion
Huffman JE, Knezevic A, Vitart V, Kattla J, Adamczyk B, et al. (2011) Polymorphisms in B3GAT1, SLC9A9 and MGAT5 are associated with variation within the human plasma N-glycome of 3533 European adults. Hum Mol Genet 20: 5000-5011. URL: http://hmg.oxfordjournals.org/content/20/24/5000.long
en
dc.relation.hasversion
Thanabalasingham G, Huffman JE, Kattla JJ, Novokmet M, Rudan I, et al. (2013) Mutations in HNF1A Result in Marked Alterations of Plasma Glycan Profile. Diabetes 62: 1329-1337. URL: http://diabetes.diabetesjournals.org/content/62/4/1329.long
en
dc.relation.hasversion
Lauc G, Huffman JE, Pučić M, Zgaga L, Adamczyk B, et al. (2013) Loci associated with N-glycosylation of human immunoglobulin G show pleiotropy with autoimmune diseases and haematological cancers. PLoS Genet 9: e1003225. URL: http://www.plosgenetics.org/article/info%3Adoi%2F10.1371%2Fjournal.pgen.1003225
en
dc.relation.hasversion
Huffman JE, Pučić-Baković M, Klarić L, Hennig R, Selman MH, et al. (2014) Comparative performance of four methods for high-throughput glycosylation analysis of immunoglobulin G in genetic and epidemiological research. Mol Cell Proteomics. 13(6):1598:610. URL: http://www.mcponline.org/content/13/6/1598.long
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dc.rights
Attribution-NonCommercial-ShareAlike 4.0 International
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dc.rights.uri
http://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subject
genomewide association studies
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dc.subject
glycan
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dc.subject
single nucleotide polymorphism
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dc.title
Genetic analysis of protein N-Glycosylation
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dc.type
Thesis or Dissertation
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dc.type.qualificationlevel
Doctoral
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dc.type.qualificationname
PhD Doctor of Philosophy
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