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

ABSTRACT: AIMS:Although 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 RESULTS:We 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. CONCLUSIONS:The diabetes susceptibility locus HNF1B is associated with prevalent diastolic dysfunction in two independent Swedish cohorts as well as incident cardiovascular disease.

SUBMITTER: Molvin J

PROVIDER: S-EPMC7083427 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

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

Molvin John J Jujic Amra A Nilsson Peter M PM Leosdottir Margret M Lindblad Ulf U Daka Bledar B Bennet Louise L Råstam Lennart L Lyssenko Valeriya V Magnusson Martin M

ESC heart failure 20191220 1

<h4>Aims</h4>Although 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.<h4>Methods and results</h4>We genotyp ...[more]

PMID: 31860786

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Project description:AimTo assess the individual and combined effect of 46 type 2 diabetes related risk alleles on incidence of a composite CVD endpoint.MethodsData from the first Danish MONICA study (N = 3523) and the Inter99 study (N = 6049) was used. Using Cox proportional hazard regression the individual effect of each risk allele on incident CVD was analyzed. Risk was presented as hazard ratios (HR) per risk allele.ResultsDuring 80,859 person years 1441 incident cases of CVD (fatal and non-fatal) occurred in the MONICA study. In Inter99 942 incident cases were observed during 61,239 person years. In the Danish MONICA study four gene variants were significantly associated with incident CVD independently of known diabetes status at baseline; SLC2A2 rs11920090 (HR 1.147, 95% CI 1.027-1.283 , P = 0.0154), C2CD4A rs7172432 (1.112, 1.027-1.205 , P = 0.0089), GCKR rs780094 (1.094, 1.007-1.188 , P = 0.0335) and C2CD4B rs11071657 (1.092, 1.007-1.183 , P = 0.0323). The genetic score was significantly associated with increased risk of CVD (1.025, 1.010-1.041, P = 0.0016). In Inter99 two gene variants were associated with risk of CVD independently of diabetes; SLC2A2 (HR 1.180, 95% CI 1.038-1.341 P = 0.0116) and FTO (0.909, 0.827-0.998, P = 0.0463). Analysing the two populations together we found SLC2A2 rs11920090 (HR 1.164, 95% CI 1.070-1.267, P = 0.0004) meeting the Bonferroni corrected threshold for significance. GCKR rs780094 (1.076, 1.010-1.146, P = 0.0229), C2CD4B rs11071657 (1.067, 1.003-1.135, P = 0.0385) and NOTCH2 rs10923931 (1.104 (1.001 ; 1.217 , P = 0.0481) were found associated with CVD without meeting the corrected threshold. The genetic score was significantly associated with increased risk of CVD (1.018, 1.006-1.031, P = 0.0043).ConclusionsThis study showed that out of the 46 genetic variants examined only the minor risk allele of SLC2A2 rs11920090 was significantly (P = 0.0005) associated with a composite endpoint of incident CVD below the threshold for statistical significance corrected for multiple testing. This potential pathway needs further exploration.

Project description:AimsDiastolic dysfunction is common in geriatric heart failure. A reliable parameter to predict myocardium stiffness and relaxation under similar end-diastolic pressure is being developed. We propose a material and mathematical model for calculating myocardium stiffness based on the concept of linear correlation between [Formula: see text] and wedge pressure.Methods and resultsWe enrolled 919 patients (male: [Formula: see text][Formula: see text]). Compared with the younger population of controls (mean age: [Formula: see text] years; [Formula: see text]; male: [Formula: see text] [Formula: see text]), the elderly (mean age: [Formula: see text]; [Formula: see text]; male: [Formula: see text] [Formula: see text]) had a greater prevalence of hypertension, diabetes mellitus, and coronary artery disease (all [Formula: see text]). We collected their M-mode and 2-D echocardiographic volumetric parameters, intraventricular filling pressure, and speckle tracking images to establish a mathematical model. The feasibility of this model was validated. The average early diastolic velocity of the mitral annulus assessed using tissue Doppler imaging was significantly attenuated in the elderly ([Formula: see text]: [Formula: see text] vs. [Formula: see text]; [Formula: see text]) and corresponded to the higher estimated wedge ([Formula: see text]) pressure ([Formula: see text] vs. [Formula: see text]; [Formula: see text]) in that cohort. E (Young's modulus) was calculated to describe the tensile elasticity of the myocardium. With the same intraventricular filling pressure, E was significantly higher in the elderly, especially those with [Formula: see text] values [Formula: see text]. Compared with diastolic dysfunction parameters, E also presented sentinel characteristics more sensitive for detecting early myocardial relaxation impairment, which indicates stiffer myocardium in aging hearts.ConclusionOur material and geometric mathematical model successfully described the stiffer myocardium in aging hearts with higher intraventricular pressure. Additional studies that compare individual differences, especially in health status, are needed to validate its application for detecting diastolic heart failure.

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

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

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