Integrative Omics in Parkinson’s Disease provides a comprehensive understanding of the current literature on high-throughput technologies relating to discoveries for Parkinson's disease etiology. This emerging field uses large omics datasets to investigate the etiology of Parkinson’s disease and other forms of parkinsonism. The book traces the evolution of omics technologies from the discovery of monogenic Parkinson's disease forms. Chapters delve into genomics, transcriptomics, epigenomics, artificial intelligence, and gene-environment interactions. Furthermore, it examines the potential therapeutic applications of these advancements and provides insights into the future of omics research in Parkinson's disease.
1. Chapter 1 : Integrative omics in Parkinson’s disease: An introduction - p. Page x 2. Chapter 2 : Genetics and pathophysiology of Parkinson’s disease - p. Page 13 3. Chapter 3 : Polygenic scores for Parkinson’s disease - p. Page 25 4. Chapter 4 : Mendelian randomization and Parkinson’s disease - p. Page 42 5. Chapter 5 : Methods to investigate somatic structural variants in synucleinopathies - p. Page 67 6. Chapter 6 : Mitochondrial genetics in Parkinson’s disease - p. Page 92 7. Chapter 7 : DNA methylation studies in Parkinson’s disease - p. Page 122 8. Chapter 8 : The gut microbiome in animal models of Parkinson’s disease - p. Page 146 9. Chapter 9 : Genetic modifiers of age-related penetrance in X-linked dystonia-parkinsonism - p. Page 165 10. Chapter 10 : Long-read transcriptomics in neurodegeneration - p. Page 179 11. Chapter 11 : Gene–environment interactions and behavior - p. Page 196 12. Chapter 12 : Introduction to prediction modeling using machine learning and omics data - p. Page 217 13. Chapter 13 : Merging iPSCs and “omics”: Advances in the field and potential applications to untangle neurodegenerative diseases - p. Page 238 14. Index - p. Page 250
Integrative Omics in Parkinson’s Disease provides a comprehensive understanding of the current literature on high-throughput technologies relating to discoveries for Parkinson's disease etiology. This emerging field uses large omics datasets to investigate the etiology of Parkinson’s disease and other forms of parkinsonism. The book traces the evolution of omics technologies from the discovery of monogenic Parkinson's disease forms. Chapters delve into genomics, transcriptomics, epigenomics, artificial intelligence, and gene-environment interactions. Furthermore, it examines the potential therapeutic applications of these advancements and provides insights into the future of omics research in Parkinson's disease.
1. Chapter 1 : Integrative omics in Parkinson’s disease: An introduction - p. Page x 2. Chapter 2 : Genetics and pathophysiology of Parkinson’s disease - p. Page 13 3. Chapter 3 : Polygenic scores for Parkinson’s disease - p. Page 25 4. Chapter 4 : Mendelian randomization and Parkinson’s disease - p. Page 42 5. Chapter 5 : Methods to investigate somatic structural variants in synucleinopathies - p. Page 67 6. Chapter 6 : Mitochondrial genetics in Parkinson’s disease - p. Page 92 7. Chapter 7 : DNA methylation studies in Parkinson’s disease - p. Page 122 8. Chapter 8 : The gut microbiome in animal models of Parkinson’s disease - p. Page 146 9. Chapter 9 : Genetic modifiers of age-related penetrance in X-linked dystonia-parkinsonism - p. Page 165 10. Chapter 10 : Long-read transcriptomics in neurodegeneration - p. Page 179 11. Chapter 11 : Gene–environment interactions and behavior - p. Page 196 12. Chapter 12 : Introduction to prediction modeling using machine learning and omics data - p. Page 217 13. Chapter 13 : Merging iPSCs and “omics”: Advances in the field and potential applications to untangle neurodegenerative diseases - p. Page 238 14. Index - p. Page 250
