Evidence map›Paper›PMID 18952314›Full record

ReviewTrends in genetics : TIG2008

Type 2 diabetes: new genes, new understanding.

Inga Prokopenko, Mark I McCarthy, Cecilia M Lindgren

Open access · greenAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Trends in genetics : TIG, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 113 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
113citing papers in PubMed, 7 pooled it
35.3field-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

113 citing papers in PubMed, 7 syntheses or guidelines pooled it, 256 citations in OpenAlex.

  1. Pooled it
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  17. Observational
  18. Journal of diabetes and metabolic disorders · 2020
    Article
  19. Article
  20. Type 2 Diabetes-Associated Genetic Polymorphisms as Potential Disease Predictors.Diabetes, metabolic syndrome and obesity : targets and therapy · 2019
    Review

53 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

3 authors at 2 institutions in 1 country.

Inga ProkopenkoOxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Old Road, Headington, Oxford, OX3 7LJ, UK.
Mark I McCarthy
Cecilia M Lindgren
University of Oxford · GBOxford Centre for Diabetes, Endocrinology and Metabolism · GB

Funding

Medical Research Council G0601261Wellcome Trust
6 · The paper itself

Abstract

Over the past two years, there has been a spectacular change in the capacity to identify common genetic variants that contribute to predisposition to complex multifactorial phenotypes such as type 2 diabetes (T2D). The principal advance has been the ability to undertake surveys of genome-wide association in large study samples. Through these and related efforts, approximately 20 common variants are now robustly implicated in T2D susceptibility. Current developments, for example in high-throughput resequencing, should help to provide a more comprehensive view of T2D susceptibility in the near future. Although additional investigation is needed to define the causal variants within these novel T2D-susceptibility regions, to understand disease mechanisms and to effect clinical translation, these findings are already highlighting the predominant contribution of defects in pancreatic beta-cell function to the development of T2D.

Indexed as

Chromosome MappingDiabetes Mellitus, Type 2Genetic Predisposition to DiseaseGenome-Wide Association StudyHumansMeta-Analysis as TopicQuantitative Trait, Heritable

Identifiers

PMID18952314
PMCPMC7116807
OpenAlexW2005493813

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.