
eBook - ePub
Clinical DNA Variant Interpretation
Theory and Practice
- 436 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Clinical DNA Variant Interpretation
Theory and Practice
About this book
Clinical DNA Variant Interpretation: Theory and Practice, a new volume in the Translational and Applied Genomics series, covers foundational aspects, modes of analysis, technology, disease and disorder specific case studies, and clinical integration. This book provides a deep theoretical background, as well as applied case studies and methodology, enabling researchers, clinicians and healthcare providers to effectively classify DNA variants associated with disease and patient phenotypes. Practical chapters discuss genomic variant interpretation, terminology and nomenclature, international consensus guidelines, population allele frequency, functional evidence transcripts for RNA, proteins, and enzymes, somatic mutations, somatic profiling, and much more.
- Compiles best practices, methods and sound evidence for DNA variant classification in one applied volume
- Features chapter contributions from international leaders in the field
- Includes practical examples of variant classification for common and rare disorders, and across clinical phenotypes
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Yes, you can access Clinical DNA Variant Interpretation by Conxi Lázaro,Jordan Lerner-Ellis,Amanda Spurdle, George P. Patrinos in PDF and/or ePUB format, as well as other popular books in Medicine & Genetics in Medicine. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Front Matter
- Table of Contents
- Copyright
- Dedication
- Contributors
- Foreword: the challenge of variant interpretation
- About the editors
- List of Illustrations
- List of Tables
- Chapter 1 : Introduction: the challenge of genomic DNA interpretation
- Chapter 2 : General considerations: terminology and standards
- Chapter 3 : International consensus guidelines for constitutional sequence variant interpretation
- Chapter 4 : Quantitative modeling: multifactorial integration of data
- Chapter 5 : Clinical and genetic evidence and population evidence
- Chapter 6 : The computational approach to variant interpretation: principles, results, and applicability
- Chapter 7 : Functional evidence (I) transcripts and RNA-splicing outline
- Chapter 8 : Functional evidence (II) protein and enzyme function
- Chapter 9 : Somatic data usage for classification of germ line variants
- Chapter 10 : Pharmacogenetics and personalized medicine
- Chapter 11 : Data sharing and gene variant databases
- Chapter 12 : Approaches to the comprehensive interpretation of genome-scale sequencing
- Chapter 13 : Phenotype evaluation and clinical context: application of case-level data in genomic variant interpretation
- Chapter 14 : Inherited cardiomyopathies
- Chapter 15 : Phenylketonuria
- Chapter 16 : Hearing loss
- Chapter 17 : Familial hypercholesterolemia
- Chapter 18 : Classification of genetic variants in hereditary cancer genes
- Chapter 19 : RASopathies
- Chapter 20 : Summary and conclusions
- Index
- A