Автор: Administrator
Понедельник, 4 февраля 2013, 18.00
МГУ, Лаб. корпус Б (факультет биоинженерии и биоинформатики), к. 221.
Сергей Нуждин
Университет Южной Калифорнии, США
Population Genetics + Systems Biology = Personalized Medicine?
Understanding
how environmental conditions interact with metabolic reactions, cell
signaling, and developmental pathways to translate an organism's genome
into its phenotype is a grand challenge in biology. Genome wide
association studies (GWAS) statistically connect genotypes to
phenotypes, without any recourse to known molecular interactions,
whereas a molecular biology approach directly ties gene function to
phenotype through gene regulatory networks (GRNs). Using natural
variation in allele-specific expression, GWAS and GRN approaches can be
merged into a single framework via Structural Equation Modeling (SEM).
This approach leverages the myriad of polymorphisms in natural
populations to elucidate and quantitate the molecular pathways that
underlie phenotypic variation. The SEM framework can be used to
quantitate a GRN, to evaluate its consistency across environments or
sexes, to identify the differences in GRNs between species, and to
annotate GRNs de novo in non-model organisms.
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