Evidence map›Paper›PMID 32099086›Full record

ReviewNature reviews. Endocrinology2020

Insights into pancreatic islet cell dysfunction from type 2 diabetes mellitus genetics.

Nicole A J Krentz, Anna L Gloyn

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Endocrinology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 4 pooled it
20.0field-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

78 citing papers in PubMed, 4 syntheses or guidelines pooled it, 134 citations in OpenAlex.

  1. Pooled it
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  5. Genetic basis of Asian diabetes.Journal of diabetes investigation · 2026
    Review
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18 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

2 authors at 1 institution in 2 countries.

Nicole A J KrentzWellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK. nkrentz@stanford.edu.ORCID http://orcid.org/0000-0003-3622-2652
Anna L GloynWellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK. agloyn@stanford.edu.ORCID http://orcid.org/0000-0003-1205-1844
Centre for Human Genetics · GB

Funding

Identifying variants causal for Type 2 Diabetes in Major human populationsU01DK085545 · NIDDK · UNIVERSITY OF OXFORD · PI CHAN, JULIANA CN, EBRAHIM, SHAH BRIAN · 2009 to 2013
$2.8M
Integrating genome-scale data to reveal causal mechanisms in type 2 diabetesU01DK105535 · NIDDK · UNIVERSITY OF OXFORD · PI GLOYN, ANNA LOUISE · 2015 to 2019
$1.7M
Medical Research Council MR/L020149/1NIDDK NIH HHS U01 DK085545NIDDK NIH HHS U01 DK105535Wellcome Trust 200837/Z/16/Z
6 · The paper itself

Abstract

Type 2 diabetes mellitus (T2DM) is an increasingly prevalent multifactorial disease that has both genetic and environmental risk factors, resulting in impaired glucose homeostasis. Genome-wide association studies (GWAS) have identified over 400 genetic signals that are associated with altered risk of T2DM. Human physiology and epigenomic data support a central role for the pancreatic islet in the pathogenesis of T2DM. This Review focuses on the promises and challenges of moving from genetic associations to molecular mechanisms and highlights efforts to identify the causal variant and effector transcripts at T2DM GWAS susceptibility loci. In addition, we examine current human models that are used to study both β-cell development and function, including EndoC-β cell lines and human induced pluripotent stem cell-derived β-like cells. We use examples of four T2DM susceptibility loci (CDKAL1, MTNR1B, SLC30A8 and PAM) to emphasize how a holistic approach involving genetics, physiology, and cellular and developmental biology can disentangle disease mechanisms at T2DM GWAS signals.

Indexed as

Diabetes Mellitus, Type 2Genetic Predisposition to DiseaseGenome-Wide Association StudyHumansInsulin-Secreting CellsModels, Biological

Identifiers

PMID32099086
OpenAlexW3008468772

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.