Marcus Dörr

The paper identifies a variant in DSP associated with QRS interval and shows that DSP-AS1 regulates DSP expression through functional and Mendelian randomization analyses.

The paper identifies novel genetic loci associated with blood pressure that interact with sleep duration across multiple ancestries.

This study performs a large GWAS on dilated cardiomyopathy, identifying two new loci and confirming two existing ones, with potential therapeutic implications.

This study identifies new genetic loci associated with myocardial infarction and coronary heart disease using genome-wide association analyses across multiple cohorts.

This study conducts a large GWAS on heart failure, identifying 12 genetic loci with associations to CAD, atrial fibrillation, and reduced left ventricular function, and provides causal evidence for several risk factors.

This study identifies a genome-wide significant association between a variant in the KCND3 gene and early repolarization pattern on ECG, suggesting a genetic basis for this trait.

This paper evaluates the causal effect of fibrinogen on coronary heart disease using Mendelian randomization, finding a small effect with multi-variant methods but not with single variant approaches.

This study identifies 15 common and 9 low-frequency protein-coding variants associated with body fat distribution, implicating novel genes related to lipid homeostasis and type 2 diabetes.

The paper assesses if genetic risk for atrial fibrillation explains cardioembolic stroke risk using genome-wide data from the Stroke Genetics Network.

This paper estimates narrow-sense heritability using identity-by-descent information in unrelated individuals and finds that IBD-based methods can capture rare variant contributions but are affected by stratification.

This study identifies 47 novel genetic loci associated with PR interval through genome-wide association meta-analysis across multiple populations.

This study identifies 6 new blood pressure loci and 48 genes involved in BP regulation using GWAS and gene expression data from blood and kidney tissues.