Downloads – GNS Causal Modeling Results from Mouse Allelic Series

Causal Modeling Results from Mouse Allelic Series Data (GNS HealthCare)

GNS Healthcare has:

• Reverse engineered causal networks from Allelic Series data
• Performed large-scale simulations over those networks, effectively performing thousands of in-silico perturbation experiments to characterize the downstream network response to Htt mutations
• Identified key driver genes and control nodes for each network

Below you will find 5 sets of causal networks, built upon different subsets of the transcriptomics profiling, proteomics profiling and behavioural profiling data generated by the Allelic Series Project. Project 4 also incorporates polyQ expansion indices as a measure of in situ Htt somatic instability in the striatum.

• Xing H, McDonagh PD, Bienkowska J, Cashorali T, Runge K, Miller RE, Decaprio D, Church B, Roubenoff R, Khalil IG, Carulli J. Causal modeling using network ensemble simulations of genetic and gene expression data predicts genes involved in rheumatoid arthritis. PLoS Comput Biol. 2011.
• Rosinski, J., 10th Annual HD Therapeutics Conference, Computational modeling of CAG length dependence in Huntington’s disease, February 23–26, 2015, Palm Springs, California.