Evidence map›Paper›PMID 25189437›Full record

ReviewCurrent diabetes reports2014

Overlap of genetic susceptibility to type 1 diabetes, type 2 diabetes, and latent autoimmune diabetes in adults.

Kevin J Basile, Vanessa C Guy, Stanley Schwartz, Struan F A Grant

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current diabetes reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. The influence of ICAM1 rs5498 on diabetes mellitus risk: evidence from a meta-analysis.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2019
    Pooled it
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  5. Haploinsufficiency of theJournal of medical genetics · 2021
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  9. Diabetes care · 2018
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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

4 authors at 3 institutions in 1 country.

Kevin J BasileDivision of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
Vanessa C Guy
Stanley Schwartz
Struan F A Grant
Children's Hospital of Philadelphia · USMain Line Health · USUniversity of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the notion that there is a degree of commonality to the biological etiology of type 1 diabetes (T1D) and type 2 diabetes (T2D), the lack of overlap in the genetic factors underpinning each of them suggests very distinct mechanisms. A disorder considered to be at the "intersection" of these two diseases is "latent autoimmune diabetes in adults" (LADA). Interestingly, genetic signals from both T1D and T2D are also seen in LADA, including the key HLA and transcription factor 7-like 2 (TCF7L2) loci, but the magnitudes of these effects are more complex than just pointing to LADA as being a simple admixture of T1D and T2D. We review the current status of the understanding of the genetics of LADA and place it in the context of what is known about the genetics of its better-studied "cousins," T1D and T2D, especially with respect to the myriad of discoveries made over the last decade through genome-wide association studies.

Indexed as

AutoimmunityAutoantibodiesDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2Genetic Predisposition to DiseaseGenome-Wide Association StudyHumansPolymorphism, Single NucleotideTCF Transcription FactorsTranscription Factor 7-Like 2 ProteinAutoantibodiesTCF7L2 protein, humanTCF Transcription FactorsTranscription Factor 7-Like 2 Protein

Identifiers

PMID25189437
OpenAlexW2075712182

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.