Evidence map›Paper›PMID 39123268›Full record

ArticleGenome medicine2024

The genetics and epidemiology of N- and O-immunoglobulin A glycomics.

Alessia Visconti, Niccolò Rossi, Albert Bondt, Agnes Hipgrave Ederveen, Gaurav Thareja, Carolien A M Koeleman, Nisha Stephan, Anna Halama, Hannah J Lomax-Browne, Matthew C Pickering and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genome medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Distinct O-Linked Glycosylation Systems in Signaling and Immune Regulation.International journal of molecular sciences · 2026
    Review
  4. Article
  5. Review
  6. Review
  7. Review
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

14 authors.

Alessia Visconti *Department of Twin Research and Genetic Epidemiology, King's College London, London, UK.
Niccolò Rossi *Department of Twin Research and Genetic Epidemiology, King's College London, London, UK.
Albert BondtCenter for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands.
Agnes Hipgrave EderveenCenter for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands.
Gaurav TharejaDepartment of Biophysics and Physiology, Weill Cornell Medicine-Qatar, Doha, Qatar.
Carolien A M KoelemanCenter for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands.
Nisha StephanDepartment of Biophysics and Physiology, Weill Cornell Medicine-Qatar, Doha, Qatar.
Anna HalamaDepartment of Biophysics and Physiology, Weill Cornell Medicine-Qatar, Doha, Qatar.
Hannah J Lomax-BrowneCentre for Inflammatory Disease, Department of Immunology and Inflammation, Imperial College London, London, UK.
Matthew C PickeringCentre for Inflammatory Disease, Department of Immunology and Inflammation, Imperial College London, London, UK.
Xu-Jie ZhouRenal Division, Peking University First Hospital, Beijing, China.
Manfred Wuhrer *Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands.
Karsten Suhre *Department of Biophysics and Physiology, Weill Cornell Medicine-Qatar, Doha, Qatar.
Mario Falchi *Department of Twin Research and Genetic Epidemiology, King's College London, London, UK. mario.falchi@kcl.ac.uk.ORCID 0000-0002-5646-1004

Funding

Medical Research Council MR/K01353X/1-2
6 · The paper itself

Abstract

backgroundImmunoglobulin (Ig) glycosylation modulates the immune response and plays a critical role in ageing and diseases. Studies have mainly focused on IgG glycosylation, and little is known about the genetics and epidemiology of IgA glycosylation.

methodsWe generated, using a novel liquid chromatography-mass spectrometry method, the first large-scale IgA glycomics dataset in serum from 2423 twins, encompassing 71 N- and O-glycan species.

resultsWe showed that, despite the lack of a direct genetic template, glycosylation is highly heritable, and that glycopeptide structures are sex-specific, and undergo substantial changes with ageing. We observe extensive correlations between the IgA and IgG glycomes, and, exploiting the twin design, show that they are predominantly influenced by shared genetic factors. A genome-wide association study identified eight loci associated with both the IgA and IgG glycomes (ST6GAL1, ELL2, B4GALT1, ABCF2, TMEM121, SLC38A10, SMARCB1, and MGAT3) and two novel loci specifically modulating IgA O-glycosylation (C1GALT1 and ST3GAL1). Validation of our findings in an independent cohort of 320 individuals from Qatar showed that the underlying genetic architecture is conserved across ancestries.

conclusionsOur study delineates the genetic landscape of IgA glycosylation and provides novel potential functional links with the aetiology of complex immune diseases, including genetic factors involved in IgA nephropathy risk.

Indexed as

Genome-Wide Association StudyGlycomicsImmunoglobulin AAdultAgedFemaleGlycosylationHumansImmunoglobulin GMaleMiddle AgedPolysaccharidesImmunoglobulin AImmunoglobulin GPolysaccharidesGlycosylationIgA/IgG shared geneticsImmunoglobulin A

Identifiers

PMID39123268
PMCPMC11312925

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.