Abstract: The invention provides a system and methods for the determination of the pharmacogenomic phenotype of any individual or group of individuals, ideally classified to a discrete, specific and defined pharmacogenomic population(s) using machine learning and population structure.

Abstract: The present invention provides methods and systems or apparatuses, to analyze multiple molecular and clinical variables from an individual diagnosed with a psychiatric disorder, such as post-traumatic stress disorder (PTSD), in order to optimize medication selection for therapeutic response. Molecular co-variables include polymorphisms in genes including those involved in central control and mediation of the hypothalamic-pituitary axis (HPA) stress response, the density of methylation in regulatory regions of said polymorphic genes, polymorphisms in genes that encode cytochrome P450 enzymes responsible for drug metabolism, and drug-drug and drug-gene interactions. Clinical co-variables include but are not limited to the sex, age and ethnicity of that individual, medication history, family history, diagnostic codes, Pittsburgh insomnia rating score, and Charlson index score.

Abstract: The present invention provides pharmacogene polymorphisms and their use in predicting therapeutic effectiveness. The present invention also provides methods comprising targeted analysis of selected pharmacogenes in thousands of compiled whole human genome sequences for identifying polymorphic sequences associated with drug response are described. The methods also provide confirmation and validation of these pharmacogene polymorphisms, based on concordance between different sequencing technologies, and statistical error-checking. Imputation of the deleterious consequences of novel variants is predicted by bioinformatics analysis.

Abstract: The present invention relates to a method for differentiating a neural stem cell into a neuronal cell such as a neuroblast or a neuron in vitro or in vivo. Particularly, the invention provides for a method for neural stem cell differentiation by contacting the neural stem cell with a 5HT1A ligand or agonist.

Abstract: Gene signatures associated with electroconvulsive therapy (ECT) and/or electroconvulsive seizures (ECS) are disclosed. Such “signatures” are useful, e.g., for diagnosing and treating neuropsychiatric disorders such as major depressive disorder (MDD), bipolar affective disorder (BAD) and psychotic depression. Such methods are therefore also provided here. The invention additionally provides screening methods that use gene signatures of the invention to identify new therapeutic compounds for treating these disorders.

Abstract: The present invention relates to screening methods and assays that are referred to herein as multi-parameter hight throughput screening (MPHTS) assays. These MPHTS assays are useful for identifying candidate pharmaceutical compounds. In particular, the screening methods of this invention may be used to identify compounds that have potential therapeutic benefits for the treatment of neuropscyhiatric and neurodegenerative disorders, including schizophrenia, bipolar affective disorder (BAD), autism and Alzheimer's disease to name a few.

Abstract: The present invention relates to a method for differentiating a neural stem cell into a neuronal cell such as a neuroblast or a neuron in vitro or in vivo. Particularly, the invention provides for a method for neural stem cell differentiation by contacting the neural stem cell with a 5HT1A ligand or agonist.