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Genetics meets multiscale modeling: the epistemic value of causally cohesive genotype-phenotype (cGP) models

Presented by: 
S Omholt [Norwegian Uni of Life Sciences]
Date: 
Friday 24th July 2009 - 10:30 to 10:45
Venue: 
INI Seminar Room 1
Session Title: 
Physiome
Session Chair: 
David Paterson
Abstract: 
Many challenges in personalized medicine reflect a lack of understanding of the genotype-phenotype map (GP map) of complex disease traits, i.e. the aggregated phenotypic effects across different length and time scales of different constellations of genetic variation (genotypes). A deep understanding of the GP map for a given complex trait requires mechanistic model descriptions of high-dimensional phenotypic effects of genetic variation, i.e. very advanced multiscale physiological models with an explicit link to genetic information in a population context ("cGP models", causally cohesive genotype-phenotype models). The Cardiac Physiome programme defines a very potent framework for developing this link. The talk will address important methodological challenges associated with incorporating genetics theory and methodology more tightly into the programme. It will also illustrate by specific examples the added epistemic value of accomplishing this.
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Presentation Material: 
University of Cambridge Research Councils UK
    Clay Mathematics Institute The Leverhulme Trust London Mathematical Society Microsoft Research NM Rothschild and Sons