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SUMMARY:Inferring causal mediators from omics data in the context of genet
 ic and environmental variations - Oliver Stegle (EBI)
DTSTART:20130318T160000Z
DTEND:20130318T170000Z
UID:TALK43267@talks.cam.ac.uk
CONTACT:Florian Markowetz
DESCRIPTION:A major goal of genomics in the medical context is the identif
 ication of functional targets for interventional therapy. Information from
  interventional data is scarce\, and hence the challenge resides in develo
 ping analytical strategies to exploit the breadth of population-level gene
 tic and molecular profiling data being generated.\nHere\, we propose new m
 olecular signatures that exploit randomized genetic and external environme
 ntal conditions to predict genes with causal roles in phenotype. We propos
 e a simple probabilistic model that builds on these patterns to predict tr
 anscripts that mediate the effect of a specific QTL to phenotype. We test 
 this approach in a yeast model\, where independent assessment through geno
 me-wide deletion collections confirmed many of the top ranking predictions
 .
LOCATION:Cancer Research UK Cambridge Institute\, Lecture Theatre
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