Sander W. van der Laan
I am an assistant professor in the Central Diagnostics Laboratory which is part of the Circulatory Health Program at the University Medical Center Utrecht and University of Utrecht and work with professor dr. Folkert W. Asselbergs and professor dr. Gerard Pasterkamp. My research interest is focused on the genetic and epigenetic causes of carotid and coronary atherosclerosis underlying ischemic stroke (IS) and coronary artery disease (CAD), and their intermediate traits such as carotid intima media thickness (cIMT) and arterial calcification. Large-scale genome-wide association studies (GWAS) have identified hundreds of genetic loci robustly associated to these diseases and traits. With my work I ultimately aim to move from GWAS loci to novel therapeutic targets or (surrogate) biomarkers for cardiovascular diseases through extensive in silico, and in vitro modeling.
As a means to this end, I am currently working on integrating Bayesian fine-mapping methodology, co-localization, causal inference through Mendelian Randomization, expression and methylation quantitative trait loci analyses, GWAS, single-cell RNA sequencing, and plaque characterization based on high-throughput imaging of histological slides and machine learning algorithms. This has resulted in the identification of 28 loci with a substrate in plaques that harbor genes potentially causal to atherosclerosis and amenable to therapy. We are currently pursuing several targets in vitro.
My vision is that this holistic approach will identify the truly viable targets to feed the biomarker and drug developmental pipeline to combat the cardiovascular disease epidemic. This approach is entirely human-centered and does not involved new in vivo experiments.
Contact
Email: s.w.vanderlaan-2@umcutrecht.nl
Phone: 06 429 83 769
Keywords research
Atherosclerosis, genome-wide association study, molecular quantitative trait loci, mendelian randomization, fine-mapping, genetic analysis
Research topic
Translational Cardiovascular Genomics
Type of research
Genetic epidemiology and genomic analyses and experimentation.
Collaborations / partnerships
N/A