Clinical Obesity Genetics / edited by Mieke van Haelst, Erica van den Akker.

Format:

Book

Author/Creator:

van Haelst, Mieke.

Contributor:

van den Akker, Erica.

Series:

Medicine Series

Language:

English

Subjects (All):

Pediatrics.

Endocrinology.

Local Subjects:

Pediatrics.

Endocrinology.

Physical Description:

1 online resource (321 pages)

Edition:

1st ed. 2025.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2025.

Summary:

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.

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.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

3-032-04095-7

9783032040954

OCLC:

1572199952