Evidence map›Paper›PMID 23879873›Full record

SynthesisCardiovascular diabetology2013

Genetic variants predicting left ventricular hypertrophy in a diabetic population: a Go-DARTS study including meta-analysis.

Helen M Parry, Louise A Donnelly, Natalie Van Zuydam, Alexander Sf Doney, Douglas Hj Elder, Andrew D Morris, Alan D Struthers, Colin Na Palmer, Chim C Lang, Wellcome Trust Case Control Consortium 2

Registry-linked trialOpen access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Cardiovascular diabetology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02783469 (Genetics of Diabetes Audit and Research in Tayside Scotland), which is not on this map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
0.6field-weighted citation impact, top 26% 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.

NCT02783469 completednot on this map

Genetics of Diabetes Audit and Research in Tayside Scotland (DOLORisk Dundee)

TypeobservationalSponsorUniversity of DundeeRan2004 to 2009Enrolled1,915ConditionsDiabetic Neuropathic PainArmsIdentification of genetic causes of diabetic neuropathic pain
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 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

10 authors at 1 institution in 2 countries.

Helen M ParryDivision of Cardiovascular and Diabetes Medicine, University of Dundee, UK. h.parry@dundee.ac.uk
Louise A Donnelly
Natalie Van Zuydam
Alexander Sf Doney
Douglas Hj Elder
Andrew D Morris
Alan D Struthers
Colin Na Palmer
Chim C Lang
Wellcome Trust Case Control Consortium 2
University of Dundee · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLeft ventricular hypertrophy has multiple aetiologies including diabetes and genetic factors. We aimed to identify genetic variants predicting left ventricular hypertrophy in diabetic individuals.

methodsDemographic, echocardiographic, prescribing, morbidity, mortality and genotyping databases connected with the Genetics of Diabetes Audit and Research in Tayside, Scotland project were accurately linked using a patient-specific identifier. Left ventricular hypertrophy cases were identified using echocardiographic data.Genotyping data from 973 cases and 1443 non-left ventricular hypertrophy controls were analysed, investigating whether single nucleotide polymorphisms associated with left ventricular hypertrophy in previous Genome Wide Association Studies predicted left ventricular hypertrophy in our population of individuals with type 2 diabetes. Meta-analysis assessed overall significance of these single nucleotide polymorphisms, which were also used to create gene scores. Logistic regression assessed whether these scores predicted left ventricular hypertrophy.

resultsTwo single nucleotide polymorphisms previously associated with left ventricular hypertrophy were significant: rs17132261: OR 2.03, 95% CI 1.10-3.73, p-value 0.02 and rs2292462: OR 0.82, 95% CI 0.73-0.93 and p-value 2.26x10-3. Meta-analysis confirmed rs17132261 and rs2292462 were associated with left ventricular hypertrophy (p=1.03x10-8 and p=5.86x10-10 respectively) and one single nucleotide polymorphisms in IGF1R (rs4966014) became genome wide significant upon meta-analysis although was not significant in our study. Gene scoring based on published single nucleotide polymorphisms also predicted left ventricular hypertrophy in our study.Rs17132261, within SLC25A46, encodes a mitochondrial phosphate transporter, implying abnormal myocardial energetics contribute to left ventricular hypertrophy development. Rs2292462 lies within the obesity-implicated neuromedin B gene. Rs4966014 lies within the IGF1R1 gene. IGF1 signalling is an established factor in cardiac hypertrophy.

conclusionsWe created a resource to study genetics of left ventricular hypertrophy in diabetes and validated our left ventricular hypertrophy phenotype in replicating single nucleotide polymorphisms identified by previous genome wide association studies investigating left ventricular hypertrophy.

Indexed as

AgedCase-Control StudiesDiabetes Mellitus, Type 2FemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansHypertrophy, Left VentricularMaleMiddle AgedMitochondrial ProteinsNeurokinin BPhosphate Transport ProteinsPolymorphism, Single NucleotideReceptor, IGF Type 1UltrasonographyMitochondrial ProteinsNeurokinin Bneuromedin BPhosphate Transport ProteinsReceptor, IGF Type 1SLC25A46 protein, human

Identifiers

PMID23879873
PMCPMC3729417
OpenAlexW2124915205

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Registered trials

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.