Clinical Obesity Genetics
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Product details:
- Publisher Springer Nature Switzerland
- Date of Publication 12 January 2026
- ISBN 9783032040947
- Binding Hardback
- No. of pages246 pages
- Size 235x155 mm
- Language English
- Illustrations XIII, 246 p. 47 illus., 42 illus. in color. 700
Categories
Long description:
This book provides a concise and practical overview of clinical obesity genetics for both clinicians and scientists in need of a single resource on the topic. Clinical genetic obesity disorders, genetic analysis, clinical treatment, and future directions are discussed in detail, with new insights and approaches to personalized medicine highlighted throughout the book.
Clinical Obesity Genetics examines genetic aspects versus personalized treatment as well as rare cases in genetic obesity. This book is an essential guide for all clinicians dealing with queries from patients with obesity and scientists involved with obesity research in both adults and children.
MoreTable of Contents:
Part 1: Introduction.- General introduction to obesity genetics and genomics.- General introduction obesity in children and adults.- Part 2: Clinical disorders.- Prader-Willi syndrome.- Chung-Jansen syndrome (PHIP-related disorder).- 16p11.2 16p11.2 deletion syndrome.- Schaaf-Yang syndrome (MAGEL2).- Bardet-Biedl syndrome.- Pseudohypoparathyroidism and its association with obesity.- Non-syndromic Leptin melanocortin pathway disorders.- Leptin and Leptin receptor deficiency.- POMC deficiency.- MC4R deficiency.- Part 3: Genetic analysis?- PCSK1 deficiency.- Methylation analysis in diagnostics; the episignature.- Part 4: Clinical treatment.- Anti-obesity pharmacotherapy for patients with genetic obesity disorders.- Metabolic Bariatric surgery.- Part 5: Future directions.- Circadian clock genes.- Functional assessment of G-protein coupled receptor variants associated with genetic obesity.- DNA medication pass: If genomics data is available, why not look at pharmacogenetic variants too?.- Genome-wide association studies and poligenic risk prediction in obesity research.
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