Evidence map›Paper›PMID 25344220›Full record

ReviewCurrent diabetes reports2014

Insights into the genetic susceptibility to type 2 diabetes from genome-wide association studies of glycaemic traits.

Letizia Marullo, Julia S El-Sayed Moustafa, Inga Prokopenko

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current diabetes reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 pooled it
5.4field-weighted citation impact, top 4% 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

23 citing papers in PubMed, 3 syntheses or guidelines pooled it, 43 citations in OpenAlex.

  1. Pooled it
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  10. Ethnic Disparities in Gestational Diabetes.Current diabetes reports · 2018
    Review
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  13. A rare-variant test for high-dimensional data.European journal of human genetics : EJHG · 2017
    Article
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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 3 institutions in 2 countries.

Letizia MarulloDepartment of Life Sciences and Biotechnology, Genetic Section, University of Ferrara, Via L. Borsari 46, 44121, Ferrara, Italy.
Julia S El-Sayed Moustafa
Inga Prokopenko
Hammersmith Hospital · GBImperial College London · GBUniversity of Ferrara · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past 8 years, the genetics of complex traits have benefited from an unprecedented advancement in the identification of common variant loci for diseases such as type 2 diabetes (T2D). The ability to undertake genome-wide association studies in large population-based samples for quantitative glycaemic traits has permitted us to explore the hypothesis that models arising from studies in non-diabetic individuals may reflect mechanisms involved in the pathogenesis of diabetes. Amongst 88 T2D risk and 72 glycaemic trait loci, only 29 are shared and show disproportionate magnitudes of phenotypic effects. Important mechanistic insights have been gained regarding the physiological role of T2D loci in disease predisposition through the elucidation of their contribution to glycaemic trait variability. Further investigation is warranted to define causal variants within these loci, including functional characterisation of associated variants, to dissect their role in disease mechanisms and to enable clinical translation.

Indexed as

Blood GlucoseDiabetes Mellitus, Type 2Genetic LociGenetic Predisposition to DiseaseGenetic VariationGenome-Wide Association StudyGlucose Tolerance TestGlycated HemoglobinHumansPhenotypePolymorphism, Single NucleotideProinsulinBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanProinsulin

Identifiers

PMID25344220
OpenAlexW2002571048

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.