Evidence map›Paper›PMID 24324808›Full record

ArticlePloS one2013

Glycosylation of immunoglobulin g: role of genetic and epigenetic influences.

Cristina Menni, Toma Keser, Massimo Mangino, Jordana T Bell, Idil Erte, Irena Akmačić, Frano Vučković, Maja Pučić Baković, Olga Gornik, Mark I McCarthy and 4 more

Open access · goldAbstract readTwin Study
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 2 pooled it
3.1field-weighted citation impact, top 8% 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

54 citing papers in PubMed, 2 syntheses or guidelines pooled it, 102 citations in OpenAlex.

  1. Pooled it
  2. Glycosylation Profile of IgG in Moderate Kidney Dysfunction.Journal of the American Society of Nephrology : JASN · 2016
    Pooled it
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. The Association of the Polymorphisms in theInternational journal of molecular sciences · 2023
    Article
  12. Review
  13. High-Throughput Glycomic Methods.Chemical reviews · 2022
    Review
  14. Article
  15. Article
  16. Heritability of the glycan clock of biological age.Frontiers in cell and developmental biology · 2022
    Article
  17. Article
  18. Article
  19. Glycosylation and Aging.Advances in experimental medicine and biology · 2021
    Article
  20. The Importance of Glycosylation in COVID-19 Infection.Advances in experimental medicine and biology · 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

14 authors at 5 institutions in 2 countries.

Cristina MenniDepartment of Twins Research and Genetic Epidemiology, Kings College London, London, United Kingdom.
Toma Keser
Massimo Mangino
Jordana T Bell
Idil Erte
Irena Akmačić
Frano Vučković
Maja Pučić Baković
Olga Gornik
Mark I McCarthy
Vlatka Zoldoš
Tim D Spector
Gordan Lauc
Ana M Valdes
King's College London · GBUniversity of Zagreb · HRGenos (Croatia) · HRCentre for Human Genetics · GBUniversity of Nottingham · GB

Funding

Wellcome Trust 090532
6 · The paper itself

Abstract

objectiveTo determine the extent to which genetic and epigenetic factors contribute to variations in glycosylation of immunoglobulin G (IgG) in humans.

methods76 N-glycan traits in circulating IgG were analyzed by UPLC in 220 monozygotic and 310 dizygotic twin pairs from TwinsUK. A classical twin study design was used to derive the additive genetic, common and unique environmental components defining the variance in these traits. Epigenome-wide association analysis was performed using the Illumina 27k chip.

results51 of the 76 glycan traits studied have an additive genetic component (heritability, h (2) ) ≥ 0.5. In contrast, 12 glycan traits had a low genetic contribution (h(2)<0.35). We then tested for association between methylation levels and glycan levels (P<2 x10(-6)). Among glycan traits with low heritability probe cg08392591 maps to a CpG island 5' from the ANKRD11 gene, a p53 activator on chromosome 16. Probe cg26991199 maps to the SRSF10 gene involved in regulation of RNA splicing and particularly in regulation of splicing of mRNA precursors upon heat shock. Among those with high heritability we found cg13782134 (mapping to the NRN1L gene) and cg16029957 mapping near the QPCT gene to be array-wide significant. The proportion of array-wide epigenetic associations was significantly larger (P<0.005) among glycans with low heritability (42%) than in those with high heritability (6.2%).

conclusionsGlycome analyses might provide a useful integration of genetic and non-genetic factors to further our understanding of the role of glycosylation in both normal physiology and disease.

Indexed as

AgedCpG IslandsDNA MethylationEpigenesis, GeneticFemaleGlycosylationHumansImmunoglobulin GMiddle AgedPolysaccharidesQuantitative Trait, HeritableTwinsImmunoglobulin GPolysaccharides

Identifiers

PMID24324808
PMCPMC3855797
OpenAlexW2077457145

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.