Evidence map›Paper›PMID 28245910›Full record

ReviewTrends in genetics : TIG2017

Genomics of Islet (Dys)function and Type 2 Diabetes.

Nathan Lawlor, Shubham Khetan, Duygu Ucar, Michael L Stitzel

Open access · greenAbstract readReview
In one paragraph

Review in Trends in genetics : TIG, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 3 pooled it
10.2field-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.

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

49 citing papers in PubMed, 3 syntheses or guidelines pooled it, 66 citations in OpenAlex.

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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 2 institutions in 1 country.

Nathan LawlorThe Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA.
Shubham KhetanThe Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA; Department of Genetics & Genome Sciences, University of Connecticut, Farmington, CT 06032, USA.
Duygu UcarThe Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA; Institute for Systems Genomics, University of Connecticut, Farmington, CT 06032, USA.
Michael L StitzelThe Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA; Department of Genetics & Genome Sciences, University of Connecticut, Farmington, CT 06032, USA; Institute for Systems Genomics, University of Connecticut, Farmington, CT 06032, USA. Electronic address: michael.stitzel@jax.org.
University of Connecticut · USJackson Laboratory · US

Funding

Investigation of noncoding variation in human pancreatic islets and their developR00DK092251 · NIDDK · JACKSON LABORATORY · PI STITZEL, MICHAEL LEE · 2014 to 2016
$794k
NIDDK NIH HHS R00 DK092251
6 · The paper itself

Abstract

Pancreatic islet dysfunction and beta cell failure are hallmarks of type 2 diabetes mellitus (T2DM) pathogenesis. In this review, we discuss how genome-wide association studies (GWASs) and recent developments in islet (epi)genome and transcriptome profiling (particularly single cell analyses) are providing novel insights into the genetic, environmental, and cellular contributions to islet (dys)function and T2DM pathogenesis. Moving forward, study designs that interrogate and model genetic variation [e.g., allelic profiling and (epi)genome editing] will be critical to dissect the molecular genetics of T2DM pathogenesis, to build next-generation cellular and animal models, and to develop precision medicine approaches to detect, treat, and prevent islet (dys)function and T2DM.

Indexed as

Diabetes Mellitus, Type 2Gene EditingGenome, HumanGenomicsHumansInsulin-Secreting CellsIslets of LangerhansSingle-Cell AnalysisTranscriptomeepigenomicsgenomicspancreatic isletssingle celltranscriptomicsType 2 diabetes (T2D)

Identifiers

PMID28245910
PMCPMC5458785
OpenAlexW2593478843

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.