Simultaneous identification of causal genes and dys-regulated pathways in complex diseases

Authors:
Yoo-Ah Kim;Stefan Wuchty;Teresa M. Przytycka
Affiliations:
National Center for Biotechnology Information, NLM, NIH, Bethesda, MD;National Center for Biotechnology Information, NLM, NIH, Bethesda, MD;National Center for Biotechnology Information, NLM, NIH, Bethesda, MD
Venue:
RECOMB'10 Proceedings of the 14th Annual international conference on Research in Computational Molecular Biology
Year:
2010

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Abstract

In complex diseases different genotypic perturbations of the cellular system often lead to the same phenotype While characteristic genomic alterations in many cancers exist, other combinations of genomic perturbations potentially lead to the same disease, dysregulating important pathways of the cellular system In this study, we developed novel computational methods to identify dysregulated pathways and their direct causes in individual patients or patient groups Specifically, we introduced efficient and powerful graph theoretic algorithms to identify such dysregulated pathways and their causal genes and applied our methods to a large set of glioma specific molecular data.