Evidence map›Paper›PMID 21980303›Full record

ArticlePLoS genetics2011

Identification of type 1 diabetes-associated DNA methylation variable positions that precede disease diagnosis.

Vardhman K Rakyan, Huriya Beyan, Thomas A Down, Mohammed I Hawa, Siarhei Maslau, Deeqo Aden, Antoine Daunay, Florence Busato, Charles A Mein, Burkhard Manfras and 6 more

2 registry-linked trialsOpen access · goldAbstract readTwin Study
In one paragraph

Article in PLoS genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 182 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
182citing papers in PubMed, 2 pooled it
22.2field-weighted citation impact, top 1% 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.

NCT02491567 completednot on this mapstarted 2014, after this paper: background citation

Study of DNA Methylation in Children and Adolescents With Autoimmune Thyroid Diseases

TypeobservationalSponsorAristotle University Of ThessalonikiRan2014 to 2018Enrolled110ConditionsHashimoto Thyroiditis, Graves Disease
NCT04139369 completednot on this mapstarted 2012, after this paper: background citation

Study of DNA Methylation in Children and Adolescents With Type 1 Diabetes Mellitus

TypeobservationalSponsorAristotle University Of ThessalonikiRan2012 to 2018Enrolled40ConditionsType 1 Diabetes Mellitus
3 · Its place in the literature

Who cites it

182 citing papers in PubMed, 2 syntheses or guidelines pooled it, 347 citations in OpenAlex.

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  3. DNA Methylation Predicts Progression of Human Gastric Lesions.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2015
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122 more citing papers are in PubMed but not listed here.

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

16 authors at 6 institutions in 3 countries.

Vardhman K RakyanBlizard Institute of Cell and Molecular Science, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom. v.rakyan@qmul.ac.uk
Huriya Beyan
Thomas A Down
Mohammed I Hawa
Siarhei Maslau
Deeqo Aden
Antoine Daunay
Florence Busato
Charles A Mein
Burkhard Manfras
Kerith-Rae M Dias
Christopher G Bell
Jörg Tost
Bernhard O Boehm
Stephan Beck
R David Leslie
Queen Mary University of London · GBCommissariat à l'Énergie Atomique et aux Énergies Alternatives · FRCRUK Lung Cancer Centre of Excellence · GBUniversität Ulm · DEUniversity of Cambridge · GBFondation Jean Dausset-CEPH · FR

Funding

Department of HealthWellcome Trust 079895Wellcome Trust 084071
6 · The paper itself

Abstract

Monozygotic (MZ) twin pair discordance for childhood-onset Type 1 Diabetes (T1D) is ∼50%, implicating roles for genetic and non-genetic factors in the aetiology of this complex autoimmune disease. Although significant progress has been made in elucidating the genetics of T1D in recent years, the non-genetic component has remained poorly defined. We hypothesized that epigenetic variation could underlie some of the non-genetic component of T1D aetiology and, thus, performed an epigenome-wide association study (EWAS) for this disease. We generated genome-wide DNA methylation profiles of purified CD14+ monocytes (an immune effector cell type relevant to T1D pathogenesis) from 15 T1D-discordant MZ twin pairs. This identified 132 different CpG sites at which the direction of the intra-MZ pair DNA methylation difference significantly correlated with the diabetic state, i.e. T1D-associated methylation variable positions (T1D-MVPs). We confirmed these T1D-MVPs display statistically significant intra-MZ pair DNA methylation differences in the expected direction in an independent set of T1D-discordant MZ pairs (P = 0.035). Then, to establish the temporal origins of the T1D-MVPs, we generated two further genome-wide datasets and established that, when compared with controls, T1D-MVPs are enriched in singletons both before (P = 0.001) and at (P = 0.015) disease diagnosis, and also in singletons positive for diabetes-associated autoantibodies but disease-free even after 12 years follow-up (P = 0.0023). Combined, these results suggest that T1D-MVPs arise very early in the etiological process that leads to overt T1D. Our EWAS of T1D represents an important contribution toward understanding the etiological role of epigenetic variation in type 1 diabetes, and it is also the first systematic analysis of the temporal origins of disease-associated epigenetic variation for any human complex disease.

Indexed as

Genetic VariationAdolescentAdultChildChild, PreschoolCpG IslandsDiabetes Mellitus, Type 1DNA MethylationEpigenesis, GeneticEpigenomicsFemaleFollow-Up StudiesGenome-Wide Association StudyHumansLipopolysaccharide ReceptorsMaleLipopolysaccharide Receptors

Identifiers

PMID21980303
PMCPMC3183089
OpenAlexW2091503140

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.