Evidence map›Paper›PMID 28635624›Full record

ReviewGenes2017

Effects of Type 1 Diabetes Risk Alleles on Immune Cell Gene Expression.

Ramesh Ram, Grant Morahan

Open access · goldAbstract readReview
In one paragraph

Review in Genes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
3.3field-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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. New Perspectives in Studying Type 1 Diabetes Susceptibility Biomarkers.International journal of molecular sciences · 2025
    Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. The diabetes pandemic and associated infections: suggestions for clinical microbiology.Reviews in medical microbiology : a journal of the Pathological Society of Great Britain and Ireland · 2019
    Article
  10. Article
  11. Review
  12. 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

2 authors at 1 institution in 1 country.

Ramesh RamCentre for Diabetes Research, Harry Perkins Institute of Medical Research, Nedlands, WA 6009, Australia. ramesh.ram@uwa.edu.au.
Grant MorahanCentre for Diabetes Research, Harry Perkins Institute of Medical Research, Nedlands, WA 6009, Australia. grant.morahan@uwa.edu.au.
The University of Western Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic studies have identified 61 variants associated with the risk of developing Type 1 Diabetes (T1D). The functions of most of the non-HLA (Human Leukocyte Antigen) genetic variants remain unknown. We found that only 16 of these risk variants could potentially be linked to a protein-coding change. Therefore, we investigated whether these variants affected susceptibility by regulating changes in gene expression. To do so, we examined whole transcriptome profiles of 600 samples from the Type 1 Diabetes Genetics Consortium (T1DGC). These comprised four different immune cell types (Epstein-Barr virus (EBV)-transformed B cells, either basal or after stimulation; and cluster of differentiation (CD)4+ and CD8+ T cells). Many of the T1D-associated risk variants regulated expression of either neighboring (

Indexed as

B-cellsdendritic cellseQTLsT-cellstype 1 diabetes

Identifiers

PMID28635624
PMCPMC5485531
OpenAlexW2701310165

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.