Evidence map›Paper›PMID 22005987›Full record

ReviewNature reviews. Genetics2011

Understanding type 1 diabetes through genetics: advances and prospects.

Constantin Polychronakos, Quan Li

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 120 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
120citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

120 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Established and emerging biomarkers for the prediction of type 1 diabetes: a systematic review.Translational research : the journal of laboratory and clinical medicine · 2014
    Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Article
  7. The effect(s) of berberine fromIranian journal of basic medical sciences · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Advanced Delivery Strategies for Immunotherapy in Type I Diabetes Mellitus.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2023
    Review
  18. Article
  19. Review
  20. Review

60 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Constantin PolychronakosDepartments of Pediatrics and Human Genetics, McGill University, Montreal, Québec, Canada H3H 1P3. Constantin. Polychronakos@mcgill.ca
Quan Li

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Starting with early crucial discoveries of the role of the major histocompatibility complex, genetic studies have long had a role in understanding the biology of type 1 diabetes (T1D), which is one of the most heritable common diseases. Recent genome-wide association studies (GWASs) have given us a clearer picture of the allelic architecture of genetic susceptibility to T1D. Fine mapping and functional studies are gradually revealing the complex mechanisms whereby immune self-tolerance is lost, involving multiple aspects of adaptive immunity. The triggering of these events by dysregulation of the innate immune system has also been implicated by genetic evidence. Finally, genetic prediction of T1D risk is showing promise of use for preventive strategies.

Indexed as

AllelesAnimalsDiabetes Mellitus, Type 1Disease Models, AnimalGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansImmune ToleranceImmunity, InnateMajor Histocompatibility ComplexQuantitative Trait Loci

Identifiers

PMID22005987

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.