Evidence map›Paper›PMID 26454449›Full record

ReviewCurrent diabetes reports2015

Progress in understanding type 1 diabetes through its genetic overlap with other autoimmune diseases.

Jeffrey D Roizen, Jonathan P Bradfield, Hakon Hakonarson

Open access · greenAbstract readReview
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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 25 citations in OpenAlex.

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  8. Overexpression of theJournal of immunology (Baltimore, Md. : 1950) · 2021
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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.

Jeffrey D RoizenDivision of Endocrinology and Diabetes, The Children's Hospital of Philadelphia, 34th and Civic Center Blvd. 11NW, Philadelphia, PA, 19103, USA. roizenj@chop.edu.
Jonathan P BradfieldThe Center for Applied Genomics, The Children's Hospital of Philadelphia, 3615 Civic Center Blvd., Suite 1014H, Philadelphia, PA, 19104, USA. bradfield@email.chop.edu.
Hakon HakonarsonThe Center for Applied Genomics, The Children's Hospital of Philadelphia, 3615 Civic Center Blvd., Suite 1014H, Philadelphia, PA, 19104, USA. hakonarson@email.chop.edu.
Children's Hospital of Philadelphia · US

Funding

Career Development Program in Pediatric Diabetes Research (K12) at CHOPK12DK094723 · NIDDK · CHILDREN'S HOSP OF PHILADELPHIA · PI WILLI, STEVEN M · 2011 to 2020
$3.6M
NIDDK NIH HHS K12 DK094723
6 · The paper itself

Abstract

Type 1 diabetes mellitus (T1DM) is the most common autoimmune disease in pediatrics with a prevalence of roughly 1 in 500 children in the USA. Genome-wide association studies have identified more than 50 variants associated with increased risk for type 1 diabetes. Comparison of these variants with those identified in other autoimmune diseases reveals three important findings: (1) there is a high degree of overlap in implicated variants in diseases with similar pathophysiology, (2) in diseases with differing pathophysiology the same variants are often implicated in opposite roles, (3) in diseases with differing pathophysiology that have many non-overlapping or oppositely implicated variants there are still several variants which are overlapping or shared. Thus, the genetic overlap between T1DM and other autoimmune diseases forms the basis for our understanding of druggable targets in type 1 diabetes.

Indexed as

AnimalsAutoimmune DiseasesAutoimmunityDiabetes Mellitus, Type 1Genome-Wide Association StudyGenomicsHumansAutoimmunityENCODEGenomicGWASType 1 diabetes mellitus

Identifiers

PMID26454449
PMCPMC5585867
OpenAlexW2222556793

What OpenQuestion holds

Textmetadata
LicenceTDM
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.