Evidence map›Paper›PMID 31860786›Full record

ArticleESC heart failure2020

A diabetes-associated genetic variant is associated with diastolic dysfunction and cardiovascular disease.

John Molvin, Amra Jujic, Peter M Nilsson, Margret Leosdottir, Ulf Lindblad, Bledar Daka, Louise Bennet, Lennart Råstam, Valeriya Lyssenko, Martin Magnusson

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in ESC heart failure, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. [Research progress on bioinformatics in pulmonary arterial hypertension].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2024
    Review
  3. Article
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 4 institutions in 3 countries.

John MolvinDepartment of Clinical Sciences, Clinical Research Center, Lund University, Malmö, Sweden.ORCID 0000-0003-2107-0510
Amra JujicDepartment of Clinical Sciences, Clinical Research Center, Lund University, Malmö, Sweden.
Peter M NilssonDepartment of Clinical Sciences, Clinical Research Center, Lund University, Malmö, Sweden.
Margret LeosdottirDepartment of Cardiology, Skåne University Hospital, Malmö, Sweden.
Ulf LindbladInstitute of Medicine, Department of Public Health and Community Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Bledar DakaInstitute of Medicine, Department of Public Health and Community Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Louise BennetDepartment of Clinical Sciences, Clinical Research Center, Lund University, Malmö, Sweden.
Lennart RåstamDepartment of Clinical Sciences, Clinical Research Center, Lund University, Malmö, Sweden.
Valeriya LyssenkoSteno Diabetes Center A/S, Gentofte, Denmark.
Martin MagnussonDepartment of Clinical Sciences, Clinical Research Center, Lund University, Malmö, Sweden.
Malmö University · SENational Academy of Medicine · USSkåne University Hospital · SESteno Diabetes Centers · DK

Funding

Crafoordska Stiftelsen -Hjärt-Lungfonden 2015-0322Hulda och E Conrad Mossfelts Stiftelse för Vetenskaplig Forskning Inom Hjärt- och Kärlsjukdomarnas Område -Lund University Medical Faculty Foundation 432021Lund University Medical Faculty Foundation 436111WCMM ALFSKANE 675271
6 · The paper itself

Abstract

aimsAlthough the epidemiological association between Type 2 diabetes and congestive heart failure (CHF) as well as cardiovascular disease (CVD) is well established, associations between diabetes-related single-nucleotide polymorphisms (SNPs), CHF, and CVD have been surprisingly inconclusive. Our aim is to examine if 43 diabetes-related SNPs were associated with prevalent diastolic dysfunction assessed by echocardiography and incident CVD and/or CHF. METHODS AND

resultsWe genotyped 43 SNPs that previously reported genome-wide significant associations with Type 2 diabetes, in 1444 subjects from the population-based Malmö Preventive Project-Re-examination Study (MPP-RES) (mean age 68 years; 29% women, 36% prevalent diabetes) (discovery cohort) and in 996 subjects from the VARA cohort (mean age 51 years, 52% women, 7% prevalent diabetes) (replication cohort). Multivariable logistic regression was assessed. Genetic variants that reached significant association with diastolic dysfunction in both cohorts were then analysed for association with incident CVD/CHF in a larger sample of the MPP-RES cohort (3,407 cases and 11,776 controls, median follow up >30 years) using Cox regression analysis. A common variant at the HNF1B [major allele (T) coded, also the risk allele for diabetes] was the only SNP associated with increased risk of prevalent diastolic dysfunction in both the discovery [MPP-RES; odds ratio (OR) 1.21, P = 0.024), and the replication cohort (VARA; OR 1.38, P = 0.042]. Cox regression analysis showed that carriers of the T-allele of rs757210 had an increased risk of future CVD (HR 1.05, P = 0.042). No significant association was seen for incident CHF.

conclusionsThe diabetes susceptibility locus HNF1B is associated with prevalent diastolic dysfunction in two independent Swedish cohorts as well as incident cardiovascular disease.

Indexed as

Polymorphism, Single NucleotideAdultAllelesDiabetes Mellitus, Type 2DiastoleDNAEchocardiographyFemaleFollow-Up StudiesGenotypeHeart VentriclesHepatocyte Nuclear Factor 1-betaHumansMaleMiddle AgedRetrospective StudiesDNAHepatocyte Nuclear Factor 1-betaHNF1B protein, humanCardiovascular diseaseCongestive heart failureDiabetesDiastolic dysfunctionHNF1Brs757210single nucleotide polymorphism

Identifiers

PMID31860786
PMCPMC7083427
OpenAlexW2995476514

What OpenQuestion holds

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LicenceCC BY-NC
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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.