Integrative Omics in Parkinson's Disease (eBook, ePUB)

Redaktion: Trinh, Joanne

• Format: ePub

Produktbeschreibung

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. - Reviews evolution of omics technologies from the first identification of monogenic forms of Parkinson's disease - Outlines machine learning algorithm application to Parkinson's disease datasets - Reviews big datasets on gene-environment interactions, genomics, epigenetics, and transcriptomics - Identifies how the microbiome influences Parkinson's disease in mouse models and patients - Provides outlook for therapies with induced-pluripotent stem cell models

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 300
• Erscheinungstermin: 19. September 2024
• Englisch
• ISBN-13: 9780443135514
• Artikelnr.: 72252236

Inhaltsangabe

1. Introduction: evolution of omics
2. Monogenic and Complex genetics PD
3. Genetic risk scores
4. Mendelian Randomization
5. Methods to investigate somatic structural variants in synucleinopathies
6. Mitochondrial genetics
7. Epigenetics in PD genes
8. The microbiome
9. Genetic modifiers in reduced penetrance: X-linked dystonia
10. Long-read transcriptomics in neurodegeneration
11. Gene-environment interactions and behaviour
12. Introduction to prediction modeling using machine learning and omics
data
13. IPSCs and OMICs merging