Evidence map›Paper›PMID 26391391›Full record

ReviewCurrent diabetes reports2015

Genes affecting β-cell function in type 1 diabetes.

Tina Fløyel, Simranjeet Kaur, Flemming Pociot

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current diabetes reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
7.4field-weighted citation impact, top 2% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
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  4. Review
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  7. Review
  8. Review
  9. Observational
  10. Review
  11. Review
  12. Diabetes · 2021
    Article
  13. Review
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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

3 authors at 1 institution in 1 country.

Tina FløyelCopenhagen Diabetes Research Center, Department of Pediatrics, Herlev and Gentofte Hospital, Herlev Ringvej 75, DK-2730, Herlev, Denmark. tina.floeyel.01@regionh.dk.
Simranjeet KaurCopenhagen Diabetes Research Center, Department of Pediatrics, Herlev and Gentofte Hospital, Herlev Ringvej 75, DK-2730, Herlev, Denmark. simranjeet.kaur@regionh.dk.
Flemming PociotCopenhagen Diabetes Research Center, Department of Pediatrics, Herlev and Gentofte Hospital, Herlev Ringvej 75, DK-2730, Herlev, Denmark. flemming.pociot.01@regionh.dk.
Gentofte Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 1 diabetes (T1D) is a multifactorial disease resulting from an immune-mediated destruction of the insulin-producing pancreatic β cells. Several environmental and genetic risk factors predispose to the disease. Genome-wide association studies (GWAS) have identified around 50 genetic regions that affect the risk of developing T1D, but the disease-causing variants and genes are still largely unknown. In this review, we discuss the current status of T1D susceptibility loci and candidate genes with focus on the β cell. At least 40 % of the genes in the T1D susceptibility loci are expressed in human islets and β cells, where they according to recent studies modulate the β-cell response to the immune system. As most of the risk variants map to noncoding regions of the genome, i.e., promoters, enhancers, intergenic regions, and noncoding genes, their possible involvement in T1D pathogenesis as gene regulators will also be addressed.

Indexed as

Gene Expression RegulationAnimalsDiabetes Mellitus, Type 1Genome-Wide Association StudyHumansInsulinInsulin-Secreting CellsRNA, UntranslatedInsulinRNA, UntranslatedCandidate genesCTSHGWASNoncoding RNAPancreatic isletsT1D

Identifiers

PMID26391391
OpenAlexW2206697283

What OpenQuestion holds

Textmetadata
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.