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We have performed a number of genome-wide association analyses and meta-analyses on different case/control phenotypes and quantitative traits. After discovering genetic loci, our main interest is to refine the locus for causal variants using different computational approaches and integrating epigenetic data. We also have experience in rare variant data analysis from whole genome sequencing data.

Our group focusses on two main disease areas;


Coronary artery disease (CAD) genetics

In collaboration with CARDIoGRAMplusC4D, we have identified over 240 independent variants associated with coronary artery disease. Our group was primarily involved in finding functionally relevant variants that are actionable in CAD relative cell types. We are now collating more data that can refine loci based on different ancestry.


Hypertrophic cardiomyopathy genetics (HCM)


We are currently performing a large scale meta-analysis of hypertrophic cardiomyopathy patients against normal individuals and have identified over 60 regions associated with HCM. We also have whole genomes of about 10,000 individuals where we can investigate rare variant burden in section of genes. Our group’s primary interest is to identify functional variants and to include other imaging/quantitative traits to refine disease prediction.

Our team

Related research themes