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SUMMARY:Modelling in systems genetics: computational approaches for discov
 ering disease networks - Tom Michoel (FRIAS Freiburg)
DTSTART:20120305T160000Z
DTEND:20120305T170000Z
UID:TALK34759@talks.cam.ac.uk
CONTACT:Florian Markowetz
DESCRIPTION:One of the central hypotheses of systems biology is that molec
 ular networks regulate protein levels which affect physiological states. W
 hen perturbed by genetic or environmental factors\, these networks may bec
 ome dysfunctional\, and the corresponding physiological function is compro
 mised. In human populations\, naturally occuring DNA variants together wit
 h environmental perturbations induce changes in mRNA expression levels fro
 m which molecular disease networks can be reconstructed. We will present r
 everse-engineering algorithms to predict disease networks from integrated 
 genetics\, genomics and clinical data and demonstrate their application to
  reveal the tissue distribution of inherited risk for coronary artery dise
 ase (CAD)\, using a dataset of more than 700 microarrays profiled in up to
  9 different vascular and metabolic tissues for 150 patients who were geno
 typed using SNP arrays (the STAGE cohort).
LOCATION:Cancer Research UK Cambridge Research Institute\, Lecture Theatre
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