Evidence map›Paper›PMID 20878272›Full record

ReviewCurrent diabetes reports2010

From genetic association to molecular mechanism.

Martijn van de Bunt, Anna L Gloyn

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current diabetes reports, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 10% 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Role of Leptin in Inflammation and Vice Versa.International journal of molecular sciences · 2020
    Review
  4. Article
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  10. What will diabetes genomes tell us?Current diabetes reports · 2012
    Review
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  18. Review
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 2 institutions in 1 country.

Martijn van de BuntDiabetes Research Laboratories, Oxford Centre for Diabetes Endocrinology & Metabolism, Churchill Hospital, University of Oxford, Headington, Oxford, OX3 7LJ, UK. martijn.vandebunt@ocdem.ox.ac.uk
Anna L Gloyn
Oxford Centre for Diabetes, Endocrinology and Metabolism · GBUniversity of Oxford · GB

Funding

Medical Research Council 81696Medical Research Council G0700222Medical Research Council G0700222(81696)
6 · The paper itself

Abstract

Over the past 3 years, there has been a dramatic increase in the number of confirmed type 2 diabetes (T2D) susceptibility loci, most arising through the implementation of genome-wide association studies (GWAS). However, progress toward the understanding of disease mechanisms has been slowed by modest effect sizes and the fact that most GWAS signals map away from coding sequence: the presumption is that their effects are mediated through regulation of nearby transcripts, but the identities of the genes concerned are often far from clear. In this review we describe the progress that has been made to date in translating association signals into molecular mechanisms with a focus on the most tractable signals (eg, KCNJ11/ABCC8, SLC30A8, GCKR) and those in which human, animal, and cellular models (FTO, TCF7L2, G6PC2) have provided insights into the role in T2D pathogenesis. Finally, the challenges for the field with the advent of genome-scale next-generation resequencing efforts are discussed.

Indexed as

Genome-Wide Association StudyAnimalsCation Transport ProteinsDiabetes Mellitus, Type 2Genetic Predisposition to DiseaseHumansKcnj11 ChannelPotassium Channels, Inwardly RectifyingZinc Transporter 8Cation Transport ProteinsKcnj11 ChannelPotassium Channels, Inwardly RectifyingSLC30A8 protein, humanZinc Transporter 8

Identifiers

PMID20878272
OpenAlexW2132664580

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.