Evidence map›Paper›PMID 29535710›Full record

ArticleFrontiers in immunology2018

Genome-Wide Association Study on Immunoglobulin G Glycosylation Patterns.

Annika Wahl, Erik van den Akker, Lucija Klaric, Jerko Štambuk, Elisa Benedetti, Rosina Plomp, Genadij Razdorov, Irena Trbojević-Akmačić, Joris Deelen, Diana van Heemst and 12 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
4.0field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 82 citations in OpenAlex.

  1. Article
  2. Atlas of glomerular disease-specific genetic effects on blood transcriptome.medRxiv : the preprint server for health sciences · 2026
    Article
  3. Article
  4. Quantitative Modeling of IgG N-Glycosylation Profiles from Population Data.International journal of molecular sciences · 2025
    Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Heritability of the glycan clock of biological age.Frontiers in cell and developmental biology · 2022
    Article
  20. AbnormalJIMD reports · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors at 8 institutions in 5 countries.

Annika WahlResearch Unit Molecular Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.
Erik van den AkkerMolecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center (LUMC), Leiden, Netherlands.
Lucija KlaricGenos Glycoscience Research Laboratory, Zagreb, Croatia.
Jerko ŠtambukGenos Glycoscience Research Laboratory, Zagreb, Croatia.
Elisa BenedettiInstitute of Computational Biology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.
Rosina PlompCenter for Proteomics and Metabolomics, Leiden University Medical Center (LUMC), Leiden, Netherlands.
Genadij RazdorovGenos Glycoscience Research Laboratory, Zagreb, Croatia.
Irena Trbojević-AkmačićGenos Glycoscience Research Laboratory, Zagreb, Croatia.
Joris DeelenMolecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center (LUMC), Leiden, Netherlands.
Diana van HeemstDepartment of Internal Medicine, Section Gerontology and Geriatrics, Leiden University Medical Center (LUMC), Leiden, Netherlands.
P Eline SlagboomMolecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center (LUMC), Leiden, Netherlands.
Frano VučkovićGenos Glycoscience Research Laboratory, Zagreb, Croatia.
Harald GrallertResearch Unit Molecular Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.
Jan KrumsiekInstitute of Computational Biology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.
Konstantin StrauchInstitute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.
Annette PetersInstitute of Epidemiology 2, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.
Thomas MeitingerInstitute of Human Genetics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.
Caroline HaywardMRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom.
Manfred WuhrerCenter for Proteomics and Metabolomics, Leiden University Medical Center (LUMC), Leiden, Netherlands.
Marian BeekmanMolecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center (LUMC), Leiden, Netherlands.
Gordan LaucGenos Glycoscience Research Laboratory, Zagreb, Croatia.
Christian GiegerResearch Unit Molecular Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.
Helmholtz Zentrum München · DELeiden University Medical Center · NLGenos (Croatia) · HRScience Research Laboratory · USHeinrich Heine University Düsseldorf · DENetherlands Metabolomics Centre · NLLudwig-Maximilians-Universität München · DEUniversity of Edinburgh · GB

Funding

Medical Research Council MC_UU_00007/10
6 · The paper itself

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.,

Indexed as

GlycosylationCore Binding Factor Alpha 3 SubunitGenome-Wide Association StudyGlycosyltransferasesHumansImmunoglobulin GCore Binding Factor Alpha 3 SubunitGlycosyltransferasesImmunoglobulin Ggenome-wide association studyglycosylationimmunoglobulin GLC–ESI-MSRUNX3

Identifiers

PMID29535710
PMCPMC5834439
OpenAlexW2789817298

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.