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Integrative Omics in Parkinson's Disease
- 1st Edition - November 21, 2024
- Editor: Joanne Trinh
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 1 3 5 5 0 - 7
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 1 3 5 5 1 - 4
Integrative Omics in Parkinson’s Disease provides a comprehensive understanding of the current literature on genomics and exposomic technologies relating to Parkinson's Dis… Read more
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Request a sales quoteIntegrative 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 disease
- Outlines machine learning algorithm application to Parkinson disease datasets
- Identifies how the microbiome influences Parkinson’s disease in mouse models and patients
Researchers, Clinicians, and students in Parkinson’s disease
1. Introduction: evolution of omics
2. Monogenic and Complex genetics PD
3. Genetic risk scores
4. Somatic mosaic variants
5. Structural variant detection
6. Mitochondrial genetics
7. Epigenetics in PD genes
8. Single-cell sequencing
9. The microbiome
10. Exposome biology in PD
11. Genetic modifiers in reduced penetrance: X-linked dystonia parkinsonism as a model
12. Long-read transcriptomics in neurodegeneration
13. Gene-environment interactions and behavior
14. Application of artificial Intelligence
2. Monogenic and Complex genetics PD
3. Genetic risk scores
4. Somatic mosaic variants
5. Structural variant detection
6. Mitochondrial genetics
7. Epigenetics in PD genes
8. Single-cell sequencing
9. The microbiome
10. Exposome biology in PD
11. Genetic modifiers in reduced penetrance: X-linked dystonia parkinsonism as a model
12. Long-read transcriptomics in neurodegeneration
13. Gene-environment interactions and behavior
14. Application of artificial Intelligence
- No. of pages: 300
- Language: English
- Edition: 1
- Published: November 21, 2024
- Imprint: Academic Press
- Paperback ISBN: 9780443135507
- eBook ISBN: 9780443135514
JT
Joanne Trinh
Dr. Joanne Trinh began her studies in the field of movement disorders while training for her BSc and PhD in medical genetics at the University of British Columbia. Following a scientific fellowship at the University of Antwerp, Belgium, Dr. Trinh returned to Canada to complete her work on genetic modifiers in LRRK2 parkinsonism. She subsequently joined the Institute of Neurogenetics in Lübeck, directed by Dr. Christine Klein, where she obtained a faculty position. She is now head of the “Integrative Omics in Parkinson’s disease” research group, which investigates the role of nuclear and mitochondrial genome sequences and lifestyle and environmental factors in parkinsonism. Her research group in Lübeck will continue to use big-data approaches to elucidate the causes of neurological disease.
Affiliations and expertise
Institute of Neurogenetics, University of Lübeck, Germany Institute of Neurogenetics, University of Lübeck and University Hospital Schleswig-Holstein, Campus Lübeck, Germany