Reference number : GC-2017-Q1-00232, amendment number : , agreement type : G, recipient legal name : Guttman, David (University of Toronto), recipient country : CA, recipient province : nan, recipient city : Ontario, recipient postal code : nan, program name english : Collaborative Health Research Projects, program name french : Projets de recherche concertée sur la santé, program purpose english : Bacterial infections cause millions of infections and take tens of thousands of lives every year,_x000D_
and without antibiotics the death toll would skyrocket. Unfortunately, antibiotics are rapidly_x000D_
becoming less effective due to the evolution of resistance. On top of this, doctors often have a_x000D_
difficult time identifying what drugs will be most effective against infecting pathogens a timely_x000D_
manner. For these reasons there is desperate need for new antimicrobial diagnostic methods_x000D_
that can rapidly provide physicians accurate information to guide their treatments. One very_x000D_
promising new approach to this problem is to sequence the genomes of the infecting_x000D_
pathogens and use this information predict how they will respond to treatment. We propose to_x000D_
produce genome sequence data and use sophisticated genome-wide association and_x000D_
predictive modeling methods to develop a new antimicrobial diagnostic tool. We will_x000D_
specifically focus on stopping a bacterial pathogen called Pseudomonas aeruginosa that_x000D_
causes a disproportionate number of hospital infections and deaths. We will work in_x000D_
collaboration with our partners at the Hospital for Sick Children in Toronto to generate this_x000D_
state-of-the-art diagnostic tool and then develop procedures to move it into the clinic. The_x000D_
success of this project will speed diagnosis, improve patient care, reduce healthcare costs,_x000D_
and enhance stewardship of antibiotics; thereby, preserving their efficacy for the future., program purpose french : Bacterial infections cause millions of infections and take tens of thousands of lives every year,_x000D_
and without antibiotics the death toll would skyrocket. Unfortunately, antibiotics are rapidly_x000D_
becoming less effective due to the evolution of resistance. On top of this, doctors often have a_x000D_
difficult time identifying what drugs will be most effective against infecting pathogens a timely_x000D_
manner. For these reasons there is desperate need for new antimicrobial diagnostic methods_x000D_
that can rapidly provide physicians accurate information to guide their treatments. One very_x000D_
promising new approach to this problem is to sequence the genomes of the infecting_x000D_
pathogens and use this information predict how they will respond to treatment. We propose to_x000D_
produce genome sequence data and use sophisticated genome-wide association and_x000D_
predictive modeling methods to develop a new antimicrobial diagnostic tool. We will_x000D_
specifically focus on stopping a bacterial pathogen called Pseudomonas aeruginosa that_x000D_
causes a disproportionate number of hospital infections and deaths. We will work in_x000D_
collaboration with our partners at the Hospital for Sick Children in Toronto to generate this_x000D_
state-of-the-art diagnostic tool and then develop procedures to move it into the clinic. The_x000D_
success of this project will speed diagnosis, improve patient care, reduce healthcare costs,_x000D_
and enhance stewardship of antibiotics; thereby, preserving their efficacy for the future., agreement title english : Next-Generation Antimicrobial Diagnostics: Speed and Precision via Whole Genome Sequencing, agreement title french : Next-Generation Antimicrobial Diagnostics: Speed and Precision via Whole Genome Sequencing, agreement number : CHRPJ, agreement value : 632425.0, agreement start date : 2017-04-25, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year. (2017-2018 to 2020-2021), additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier. (2017-2018 à 2020-2021), owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada