Evidence map›Paper›PMID 30524468›Full record

ArticleFrontiers in genetics2018

Type 1 Diabetes Mellitus-Associated Genetic Variants Contribute to Overlapping Immune Regulatory Networks.

Denis M Nyaga, Mark H Vickers, Craig Jefferies, Jo K Perry, Justin M O'Sullivan

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
4.3field-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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 53 citations in OpenAlex.

  1. Pooled it
  2. The Association betweenBioMed research international · 2019
    Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Applications and prospects of biomaterials in diabetes management.Frontiers in bioengineering and biotechnology · 2025
    Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Pathophysiology of Type 1 Diabetes and Gut Microbiota Role.International journal of molecular sciences · 2022
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. HERV-W andPathogens (Basel, Switzerland) · 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

5 authors at 1 institution in 1 country.

Denis M NyagaThe Liggins Institute, The University of Auckland, Auckland, New Zealand.
Mark H VickersThe Liggins Institute, The University of Auckland, Auckland, New Zealand.
Craig JefferiesThe Liggins Institute, The University of Auckland, Auckland, New Zealand.
Jo K PerryThe Liggins Institute, The University of Auckland, Auckland, New Zealand.
Justin M O'SullivanThe Liggins Institute, The University of Auckland, Auckland, New Zealand.
University of Auckland · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 1 diabetes (T1D) is a chronic metabolic disorder characterized by the autoimmune destruction of insulin-producing pancreatic islet beta cells in genetically predisposed individuals. Genome-wide association studies (GWAS) have identified over 60 risk regions across the human genome, marked by single nucleotide polymorphisms (SNPs), which confer genetic predisposition to T1D. There is increasing evidence that disease-associated SNPs can alter gene expression through spatial interactions that involve distal loci, in a tissue- and development-specific manner. Here, we used three-dimensional (3D) genome organization data to identify genes that physically co-localized with DNA regions that contained T1D-associated SNPs in the nucleus. Analysis of these SNP-gene pairs using the Genotype-Tissue Expression database identified a subset of SNPs that significantly affected gene expression. We identified 246 spatially regulated genes including

Indexed as

autoimmunityexpression quantitative trait loci (eQTL)genetic variationgenome organizationgenome-wide association studies (GWAS)Type 1 diabetes

Identifiers

PMID30524468
PMCPMC6258722
OpenAlexW2952275085

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.