Montreal Heart Institute Awarded $5 Million Grant from Genome Quebec
News Oct 10, 2007
The Montreal Heart Institute (MHI) has announced that its research project based on a mixed academic/private partnership in pharmacogenomics has been selected for the new PRIVAC competition launched by Genome Quebec.
Pharmacogenomics is a rapidly growing field where genomic information is integrated so as to customize treatment and thereby improve the effectiveness and reduce the toxicity of medications. The importance of these issues is better understood when it’s considered that in Canada, adverse drug reactions alone account for an estimated $10 billion in annual health care costs.
In partnership with VIA Pharmaceuticals of California, and financing from Genome Quebec and MDEIE, the MHI research team led by principal researchers Drs. Jean- Claude Tardif and Michael Phillips will develop the clinical infrastructure required to conduct pharmacogenomic clinical trials in Quebec, Canada and elsewhere in the world.
“The new technologies and approaches developed will have a major impact on our capacity to conduct large-scale clinical trials and will make us that much more competitive internationally,” said Dr. Jean-Claude Tardif, director of the MHI Research Centre and professor of medicine at the Universite de Montreal. Dr. Tardif is in charge of the project.
Mechanism Controlling Multiple Sclerosis Risk IdentifiedNews
Researchers at Karolinska Institutet have now discovered a new mechanism of a major risk gene for multiple sclerosis (MS) that triggers disease through so-called epigenetic regulation. They also found a protective genetic variant that reduces the risk for MS through the same mechanism.
Synthetic DNA Shuffling Enzyme Outpaces Natural CounterpartNews
A new synthetic enzyme, crafted from DNA rather than protein, flips lipid molecules within the cell membrane, triggering a signal pathway that could be harnessed to induce cell death in cancer cells. Researchers say their lipid-scrambling DNA enzyme is the first in its class to outperform naturally occurring enzymes – and does so by three orders of magnitudeREAD MORE
Antarctic Worm and Machine Learning Help Identify Cerebral Palsy EarlierNews
A research team has released a study in the peer-reviewed journal BMC Bioinformatics showing that DNA methylation patterns in circulating blood cells can be used to help identify spastic cerebral palsy (CP) patients. The technique which makes use of machine learning, data science and even analysis of Antarctic worms, raises hopes for earlier targeted CP therapies.