Integrative Omics in Parkinson’s Disease provides a comprehensive understanding of the current literature on genomics and exposomic technologies relating to Parkinson's Disease etiology. This emerging field uses large omics datasets to investigate the etiology of Parkinson’s disease and other forms of parkinsonisms. The book begins by introducing the readers to evolution of omics technologies, starting with the first identification of monogenic forms of Parkinson’s disease. Next, a series of chapters covering genomics, transcriptomics, and epigenomics, including artificial intelligence and gene-environment interaction are included. Lastly, potential application of advances in the field to therapy and what is in store for the future generation for omics in Parkinson's Disease are reviewed. Reviews evolution of omics technologies from first identification of monogenic forms of Parkinson’s diseaseOutlines machine learning algorithm application to Parkinson disease datasetsIdentifies how the microbiome influences Parkinson’s disease in mouse models and patients INDICE: 1. Introduction: evolution of omics2. Monogenic and Complex genetics PD3. Genetic risk scores4. Somatic mosaic variants5. Structural variant detection6. Mitochondrial genetics7. Epigenetics in PD genes8. Single-cell sequencing9. The microbiome10. Exposome biology in PD11. Genetic modifiers in reduced penetrance: X-linked dystonia parkinsonism as a model12. Long-read transcriptomics in neurodegeneration13. Gene-environment interactions and behavior14. Application of artificial Intelligence
- ISBN: 978-0-443-13550-7
- Editorial: Academic Press
- Encuadernacion: Rústica
- Páginas: 300
- Fecha Publicación: 21/11/2024
- Nº Volúmenes: 1
- Idioma: Inglés