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Genome-Wide Association Study on Immunoglobulin G Glycosylation Patterns

Overview of attention for article published in Frontiers in immunology, February 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

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1 news outlet
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11 X users

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Title
Genome-Wide Association Study on Immunoglobulin G Glycosylation Patterns
Published in
Frontiers in immunology, February 2018
DOI 10.3389/fimmu.2018.00277
Pubmed ID
Authors

Annika Wahl, Erik van den Akker, Lucija Klaric, Jerko Štambuk, Elisa Benedetti, Rosina Plomp, Genadij Razdorov, Irena Trbojević-Akmačić, Joris Deelen, Diana van Heemst, P. Eline Slagboom, Frano Vučković, Harald Grallert, Jan Krumsiek, Konstantin Strauch, Annette Peters, Thomas Meitinger, Caroline Hayward, Manfred Wuhrer, Marian Beekman, Gordan Lauc, Christian Gieger

Abstract

Immunoglobulin G (IgG), a glycoprotein secreted by plasma B-cells, plays a major role in the human adaptive immune response and are associated with a wide range of diseases. Glycosylation of the Fc binding region of IgGs, responsible for the antibody's effector function, is essential for prompting a proper immune response. This study focuses on the general genetic impact on IgG glycosylation as well as corresponding subclass specificities. To identify genetic loci involved in IgG glycosylation, we performed a genome-wide association study (GWAS) on liquid chromatography electrospray mass spectrometry (LC-ESI-MS)-measured IgG glycopeptides of 1,823 individuals in the Cooperative Health Research in the Augsburg Region (KORA F4) study cohort. In addition, we performed GWAS on subclass-specific ratios of IgG glycans to gain power in identifying genetic factors underlying single enzymatic steps in the glycosylation pathways. We replicated our findings in 1,836 individuals from the Leiden Longevity Study (LLS). We were able to show subclass-specific genetic influences on single IgG glycan structures. The replicated results indicate that, in addition to genes encoding for glycosyltransferases (i.e.,ST6GAL1, B4GALT1, FUT8, andMGAT3), other genetic loci have strong influences on the IgG glycosylation patterns. A novel locus on chromosome 1, harboringRUNX3, which encodes for a transcription factor of the runt domain-containing family, is associated with decreased galactosylation. Interestingly, members of theRUNXfamily are cross-regulated, andRUNX3is involved in both IgA class switching and B-cell maturation as well as T-cell differentiation and apoptosis. Besides the involvement of glycosyltransferases in IgG glycosylation, we suggest that, due to the impact of variants withinRUNX3, potentially mechanisms involved in B-cell activation and T-cell differentiation during the immune response as well as cell migration and invasion involve IgG glycosylation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 81 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 22%
Student > Master 12 15%
Researcher 8 10%
Student > Bachelor 5 6%
Other 5 6%
Other 14 17%
Unknown 19 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 23%
Agricultural and Biological Sciences 14 17%
Immunology and Microbiology 7 9%
Medicine and Dentistry 5 6%
Mathematics 2 2%
Other 8 10%
Unknown 26 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 December 2023.
All research outputs
#2,519,111
of 26,017,215 outputs
Outputs from Frontiers in immunology
#2,522
of 32,223 outputs
Outputs of similar age
#51,268
of 347,241 outputs
Outputs of similar age from Frontiers in immunology
#75
of 686 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 32,223 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one has done particularly well, scoring higher than 92% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 347,241 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 686 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.