Evidence map›Paper›PMID 27207547›Full record

ArticleDiabetes2016

Type 1 Diabetes Genetic Risk Score: A Novel Tool to Discriminate Monogenic and Type 1 Diabetes.

K A Patel, R A Oram, S E Flanagan, E De Franco, K Colclough, M Shepherd, S Ellard, M N Weedon, A T Hattersley

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Diabetes, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03369821 (Understanding Beta-cell Destruction Through the Study of EXtremely Early-onset Type 1 Diabetes), which is not on this map. Cited by 106 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
106citing papers in PubMed, 3 pooled it
19.8field-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.

NCT03369821 recruitingnot on this mapstarted 2017, after this paper: background citation

Understanding Beta-cell Destruction Through the Study of EXtremely Early-onset Type 1 Diabetes (A Musketeers' Memorandum Study)

TypeobservationalSponsorUniversity of ExeterRan2017 to 2028Enrolled300ConditionsType1 Diabetes MellitusArmsBeta Cell Loss and Immune Function, Immune Function with RNAseq
3 · Its place in the literature

Who cites it

106 citing papers in PubMed, 3 syntheses or guidelines pooled it, 192 citations in OpenAlex.

  1. Guideline
  2. Systematic Review of Polygenic Risk Scores for Type 1 and Type 2 Diabetes.International journal of molecular sciences · 2020
    Pooled it
  3. Guideline
  4. Observational
  5. ProtectiveiScience · 2026
    Article
  6. Article
  7. Review
  8. Genetic basis of Asian diabetes.Journal of diabetes investigation · 2026
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Review
  20. Article

46 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

9 authors at 2 institutions in 1 country.

K A PatelInstitute for Biomedical and Clinical Science, University of Exeter Medical School, Barrack Road, Exeter EX2 5DW, UK.
R A OramInstitute for Biomedical and Clinical Science, University of Exeter Medical School, Barrack Road, Exeter EX2 5DW, UK.
S E FlanaganInstitute for Biomedical and Clinical Science, University of Exeter Medical School, Barrack Road, Exeter EX2 5DW, UK.
E De FrancoInstitute for Biomedical and Clinical Science, University of Exeter Medical School, Barrack Road, Exeter EX2 5DW, UK.
K ColcloughDepartment of Molecular Genetics, Royal Devon & Exeter NHS Foundation Trust, Exeter, Barrack Road, Exeter EX2 5DW, UK.
M ShepherdInstitute for Biomedical and Clinical Science, University of Exeter Medical School, Barrack Road, Exeter EX2 5DW, UK.
S EllardInstitute for Biomedical and Clinical Science, University of Exeter Medical School, Barrack Road, Exeter EX2 5DW, UK.
M N Weedon *Institute for Biomedical and Clinical Science, University of Exeter Medical School, Barrack Road, Exeter EX2 5DW, UK.
A T Hattersley *Institute for Biomedical and Clinical Science, University of Exeter Medical School, Barrack Road, Exeter EX2 5DW, UK.
University of Exeter · GBRoyal Devon & Exeter NHS Foundation Trust · GB

Funding

Department of Health RDECRF-2012-1Medical Research Council MR/M005070/1Wellcome Trust 076113Wellcome Trust 098395Wellcome Trust 105636/Z/14/Z
6 · The paper itself

Abstract

Distinguishing patients with monogenic diabetes from those with type 1 diabetes (T1D) is important for correct diagnosis, treatment, and selection of patients for gene discovery studies. We assessed whether a T1D genetic risk score (T1D-GRS) generated from T1D-associated common genetic variants provides a novel way to discriminate monogenic diabetes from T1D. The T1D-GRS was highly discriminative of proven maturity-onset diabetes of young (MODY) (n = 805) and T1D (n = 1,963) (receiver operating characteristic area under the curve 0.87). A T1D-GRS of >0.280 (>50th T1D centile) was indicative of T1D (94% specificity, 50% sensitivity). We then analyzed the T1D-GRS of 242 white European patients with neonatal diabetes (NDM) who had been tested for all known NDM genes. Monogenic NDM was confirmed in 90, 59, and 8% of patients with GRS <5th T1D centile, 50-75th T1D centile, and >75th T1D centile, respectively. Applying a GRS 50th T1D centile cutoff in 48 NDM patients with no known genetic cause identified those most likely to have a novel monogenic etiology by highlighting patients with probable early-onset T1D (GRS >50th T1D centile) who were diagnosed later and had less syndromic presentation but additional autoimmune features compared with those with proven monogenic NDM. The T1D-GRS is a novel tool to improve the use of biomarkers in the discrimination of monogenic diabetes from T1D.

Indexed as

Genetic Predisposition to DiseaseMutationAdolescentAdultDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2Diagnosis, DifferentialFemaleGenotypeHumansMaleYoung Adult

Identifiers

PMID27207547
PMCPMC4920219
OpenAlexW2313889229

What OpenQuestion holds

Textmetadata
LicenceTDM
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.