CVG on the cover of Science
Welcome to the Cardiovascular Genomics group
The main goal of our research is to define regulatory tissue and cross-tissue gene networks underlying coronary artery disease (CAD) and myocardial infarction (MI). This is being achieved by gathering –omics datasets from well-characterized patient cohorts and model systems of atherosclerosis. We particularly focus on regulatory networks important for cross-talk between organs, which are believed to play a central role in CAD.
We foresee that molecular networks will provide the foundation on which preventive, predictive and personalized cardiovascular care can be built. Besides providing clues to the most efficient targets for novel CAD/MI drugs, these networks are essential to understand the CAD/MI risk situation in any given individual.
The group is one out of five groups at the division of Vascular Biology, MBB. This division provides state-of-the-art model systems for vascular biology ranging from focal microscopy of the retina to extensive mouse housing capacities.
Please click around our Website and if you become interested do not hesitate to make contact!
Best wishes,
Johan Björkegren
Group Leader,
johan.bjorkegren@ki.se
News
2012-04-30 - Editorial Board Member
Björkegren has been appointed editorial board member of the New "Open Network Biology" journal publishing articles on predictive, network-based models of living systems.
Selected Publications
Systems and genome-wide approaches unite to provide a route to personalized medicine.
Genome Med . 2012 Mar 30;4(3):29. [Epub ahead of print]
NEW: Network-Enabled Wisdom in Biology, Medicine, and Health Care.
Sci Transl Med . 2012 Jan 4;4(115):115rv1.
Carotid plaque age is a feature of plaque stability inversely related to levels of plasma insulin.
PLoS One . 2011 Apr 7;6(4):e18248.
Multi-organ expression profiling uncovers a gene module in coronary artery disease involving transendothelial migration of leukocytes and LIM domain binding 2: the Stockholm Atherosclerosis Gene Expression (STAGE) study.
PLoS Genet . 2009 Dec;5(12):e1000754. Epub 2009 Dec 4.
Transcriptional profiling uncovers a network of cholesterol-responsive atherosclerosis target genes.
PLoS Genet . 2008 Mar 14;4(3):e1000036.