Evidence map›Paper›PMID 29080981›Full record

ReviewCurrent diabetes reports2017

Genetic Risk Scores for Type 1 Diabetes Prediction and Diagnosis.

Maria J Redondo, Richard A Oram, Andrea K Steck

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current diabetes reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Prediction and Prevention of Type 1 Diabetes.Frontiers in endocrinology · 2020
    Review
  14. Review
  15. Review
  16. Genetic aspects of type 1 diabetes.Annals of pediatric endocrinology & metabolism · 2019
    Article
  17. Article
  18. Observational
  19. Review
  20. 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

3 authors.

Maria J RedondoTexas Children's Hospital/Baylor College of Medicine, 6701 Fannin Street, CC1020, Houston, TX, 77030, USA. redondo@bcm.edu.
Richard A OramUniversity of Exeter Medical School, Institute of Biomedical and Clinical Science, RILD Building, Royal Devon and Exeter Hospital, Barrack Road, Exeter, EX2 5DW, UK.
Andrea K SteckBarbara Davis Center for Childhood Diabetes, University of Colorado School of Medicine, 1775 Aurora Ct, Aurora, CO, 80045, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewAbout 50% of the heritability of type 1 diabetes (T1D) is attributed to human leukocyte antigen (HLA) alleles and the remainder to several (close to 50) non-HLA loci. A current challenge in the field of the genetics of T1D is to apply the knowledge accumulated in the last 40 years towards differential diagnosis and risk assessment. RECENT

findingsT1D genetic risk scores seek to combine the information from HLA and non-HLA alleles to improve the accuracy of diagnosis, prediction, and prognosis. Here, we describe genetic risk scores that have been developed and validated in various settings and populations. Several genetic scores have been proposed that merge disease risk information from multiple genetic factors to optimize the use of genetic information and ultimately improve prediction and diagnosis of T1D.

Indexed as

Genetic Predisposition to DiseaseDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2Genetic TestingHumansRisk FactorsGeneticHLAPredictionRiskScoreType 1 diabetes

Identifiers

What Socratic 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 Socratic graph.