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Updated: Jan 1, 2026

Modeling and Evaluation of Murine Diabetic Cardiomyopathy Model
Published on: November 29, 2024
A diabetes-associated genetic variant is associated with diastolic dysfunction and cardiovascular disease
John Molvin1,2, Amra Jujic1,2, Peter M Nilsson1,3
1Department of Clinical Sciences, Clinical Research Center, Lund University, Malmö, Sweden.
Insights
A specific gene variant (HNF1B) linked to Type 2 diabetes increases the risk of diastolic dysfunction and cardiovascular disease. This finding helps clarify genetic links between diabetes and heart conditions.
Area of Science:
- Genetics
- Cardiology
- Endocrinology
Background:
- Type 2 diabetes is linked to heart failure and cardiovascular disease.
- Genetic associations between diabetes and these conditions are unclear.
- Investigating specific gene variants may clarify these links.
Purpose of the Study:
- To examine if 43 diabetes-related single-nucleotide polymorphisms (SNPs) are associated with diastolic dysfunction.
- To assess the association of these SNPs with incident cardiovascular disease (CVD) and/or congestive heart failure (CHF).
Main Methods:
- Genotyped 43 diabetes-related SNPs in two independent Swedish cohorts (MPP-RES and VARA).
- Used multivariable logistic regression to assess associations with prevalent diastolic dysfunction.
- Employed Cox regression analysis for incident CVD/CHF in a larger cohort.
Main Results:
- A common HNF1B variant (rs757210, T-allele) was associated with increased risk of prevalent diastolic dysfunction in both cohorts.
- This variant also showed an increased risk of future CVD (HR 1.05, P = 0.042).
- No significant association was found for incident CHF.
Conclusions:
- The HNF1B gene locus is associated with diastolic dysfunction in Swedish populations.
- This genetic association extends to incident cardiovascular disease.
- The findings clarify a specific genetic link between diabetes susceptibility and cardiovascular complications.
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.
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