Scientific Tracks Abstracts: JCEC
The technological development of large scale genome wide nucleic acid sequence analysis has made it possible to simultaneously analyze DNA and RNA sequences in large cohorts of patients with cardiovascular disease. Th is possibility raises several interesting aspects that can be utilized in the understanding of genomic and transcriptomic aspects of cardiovascular disease. First, we have used these methods to address which gene transcripts are altered in several diseases states and how they correlate to clinical disease characteristics. In a large clinical database in patients with cerebrovascular disease undergoing carotid endarterectomy we explored the detailed gene expression pattern related to disease phenotype. Second, the translational step from identifi ed disease modifying single nucleotide polymorphism (SNP) to aff ected gene has previously been diffi cult to complete. We utilized a novel approach of simultaneous SNP genotyping and expression measurement in the same patients to identify which genes are coupled to disease modifying SNPs. Th is method provided several novel gene targets. Th ird, it has been speculated that gene expression measurements may reveal patterns of expression that could serve as diagnostic tool or prediction of disease progression. We developed this aspect in the cohort of patients with cerebrovascular disease and identifi ed a set of genes which expression pattern contributed to increase the diagnostic accuracy of future cardiovascular events. We conclude that genome wide nucleic acid sequence analysis is an important tool to identify novel genes and pathways related to clinical cardiovascular disease.
Anders Gabrielsen MD, PhD graduated from University of Copenhagen and continued with post-doctoral studies at Karolinska Instit utet in the fi eld of experimental cardiovascular research. Following the post-doctoral period he continued his medical education with board certi fi cation in Internal Medicine and Cardiology at Karolinska University Hospital where he is now working at Dept. of Cardiology. His previous academic training in integrative cardiovascular physiology and gene expression analysis in experimental models and clinical cardiovascular diseas e has aided in development of ?omics? patient biobanks with a strong emphasis on translational medicine.