Genome-wide association and exome/genome sequencing studies have identified a significant number of genes in specific neurodevelopmental and psychiatric disorders, such as autism spectrum disorder, epilepsy, intellectual disability, schizophrenia, major depressive disorder, and bipolar disorder. These valuable genetic data provide us an unprecedented opportunity to study how genetic mutations cause or contribute to different neurodevelopmental and psychiatric conditions. However, our understanding of their contributions to disease pathology lags behind. In addition, how genetics can be used to guide the development of effective treatments is unclear.
In the meantime, there are increasing availability of functional data, such as spatiotemporal transcriptome of the brain, brain single-cell RNA sequencing data, transcription factor-target gene network, protein-protein interaction network, functional interaction network, Gene Ontology, biological pathways, drug-target gene network, and drug-target gene expression data. These rich functional data offer us a great resource to dissect disease genetics, elucidate molecular mechanisms, and discover treatment strategies through data integration. This Research Topic welcomes different computational approaches to address how to translate disease genetics into mechanisms to further guided treatments. The studies that integrate single-cell RNA sequencing data are especially welcome.
Specifically, we welcome Original Research, Method, Review, and other articles including, but not limited to, the following aspects:
- Spatiotemporal and cell type-specific expression pattern of disease genes associated with neurodevelopmental and psychiatric disorders
- Gene set enrichment analysis of disease genes
- Functional convergence of disease genes
- Network analysis of disease genes
- Single-cell gene coexpression and regulatory network inference
- Disease gene prioritization
- Pharmacogenomics of neurodevelopmental and psychiatric disorders
- Pharmacological mechanisms of action of drugs used for neurodevelopmental and psychiatric disorders
- Drug repositioning
- Drug combination
- Personalized therapy
- Review of biomedical data/databases, computational methods/tools, and outstanding questions/opinions related to this Research Topic
We hope that this collection of articles will help us better utilize genetics to understand disease mechanisms and eventually achieve shared and/or personalized therapies tailored to the genetic variants of an individual.
Genome-wide association and exome/genome sequencing studies have identified a significant number of genes in specific neurodevelopmental and psychiatric disorders, such as autism spectrum disorder, epilepsy, intellectual disability, schizophrenia, major depressive disorder, and bipolar disorder. These valuable genetic data provide us an unprecedented opportunity to study how genetic mutations cause or contribute to different neurodevelopmental and psychiatric conditions. However, our understanding of their contributions to disease pathology lags behind. In addition, how genetics can be used to guide the development of effective treatments is unclear.
In the meantime, there are increasing availability of functional data, such as spatiotemporal transcriptome of the brain, brain single-cell RNA sequencing data, transcription factor-target gene network, protein-protein interaction network, functional interaction network, Gene Ontology, biological pathways, drug-target gene network, and drug-target gene expression data. These rich functional data offer us a great resource to dissect disease genetics, elucidate molecular mechanisms, and discover treatment strategies through data integration. This Research Topic welcomes different computational approaches to address how to translate disease genetics into mechanisms to further guided treatments. The studies that integrate single-cell RNA sequencing data are especially welcome.
Specifically, we welcome Original Research, Method, Review, and other articles including, but not limited to, the following aspects:
- Spatiotemporal and cell type-specific expression pattern of disease genes associated with neurodevelopmental and psychiatric disorders
- Gene set enrichment analysis of disease genes
- Functional convergence of disease genes
- Network analysis of disease genes
- Single-cell gene coexpression and regulatory network inference
- Disease gene prioritization
- Pharmacogenomics of neurodevelopmental and psychiatric disorders
- Pharmacological mechanisms of action of drugs used for neurodevelopmental and psychiatric disorders
- Drug repositioning
- Drug combination
- Personalized therapy
- Review of biomedical data/databases, computational methods/tools, and outstanding questions/opinions related to this Research Topic
We hope that this collection of articles will help us better utilize genetics to understand disease mechanisms and eventually achieve shared and/or personalized therapies tailored to the genetic variants of an individual.
