Economic Evaluation in Genomic and Precision Medicine provides an in-depth examination of essential concepts, protocols and applications of economic evaluation in genomic and precision medicine. Contributions from leading international medical geneticists and health economists compile new ways to effectively assess the costs and outcomes of different genomic care pathways, implement cost-effective medical interventions, and enhance the value of genomic and precision healthcare. Foundational chapters and discipline-specific case studies cover topics ranging from the economic analysis of genomic trial design, to health technology assessment of next-generation sequencing, ethical aspects, economic policy in genomic medicine, and pricing and reimbursement in clinical genomics.

Rigor and Reproducibility in Genetics and Genomics: Peer-reviewed, Published, Cited provides a full methodological and statistical overview for researchers, clinicians, students, and post-doctoral fellows conducting genetic and genomic research. Here, active geneticists, clinicians, and bioinformaticists offer practical solutions for a variety of challenges associated with several modern approaches in genetics and genomics, including genotyping, gene expression analysis, epigenetic analysis, GWAS, EWAS, genomic sequencing, and gene editing. Emphasis is placed on rigor and reproducibility throughout, with each section containing laboratory case-studies and classroom activities covering step-by-step protocols, best practices, and common pitfalls. Specific genetic and genomic technologies discussed include microarray analysis, DNA-seq, RNA-seq, Chip-Seq, methyl-seq, CRISPR gene editing, and CRISPR-based genetic analysis. Training exercises, supporting data, and in-depth discussions of rigor, reproducibility, and ethics in research together deliver a solid foundation in research standards for the next generation of genetic and genomic scientists.

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.

Applied Genomics and Public Health examines the interdisciplinary and growing area of how evidence-based genomic knowledge can be applied to public health, population health, healthcare and health policies. The book gathers experts from a variety of disciplines, including life sciences, social sciences, and health care to develop a comprehensive overview of the field. In addition, the book delves into subjects such as pharmacogenomics, genethics, big data, data translation and analysis, economic evaluation, genomic awareness and education, sociology, pricing and reimbursement, policy measures and economic evaluation in genomic medicine. This book is essential reading for researchers and students exploring applications of genomics to population and public health. In addition, it is ideal for those in the biomedical sciences, medical sociologists, healthcare professionals, nurses, regulatory bodies and health economists interested in learning more about this growing field.

Originally thought to be available only to the world's wealthiest nations, genomic medicine has developed into a broad range of clinical methods and technologies whose concrete applications are also revolutionizing health systems in many of the world's resource-limited nations. Genomic Medicine in Emerging Economies: Genomics for Every Nation provides in-depth analysis and key examples of the implementation of medical genomics in low-income nations across the globe, demonstrating how this advancing medical science has already transformed health systems and led to improved patient care in Indonesian, Chilean, Malaysian, Argentinian, Chinese, Sri Lankan, and Colombian populations among others. In addition to defining tools, diagnostics, and treatment pathways at the population-wide level for medical geneticists, genomic researchers, and public health workers to apply in their own work, this book offers an essential, case-study based approach needed to understand how genomic medicine can be used to improve disease-management in a diverse range of economic and social contexts.

Economic Evaluation in Genomic Medicine introduces health economics and economic evaluation to genomic clinicians and researchers, while also introducing the topic to health economists. Each chapter includes an executive summary, questions, and case studies, along with supplementary online materials, including process guides, maps, flow charts, diagrams, and economic evaluation spreadsheets to enhance the learning process. The text can easily be used as course material for related graduate and undergraduate courses, providing a succinct overview of the existing, state-of-the-art application of economic evaluation to genomic healthcare and precision medicine.

Psychiatric Genomics presents and synthesizes available knowledge in the field of psychiatric genomics, offering methodologies to advance new research and aid clinical translation. After providing an introduction to genomics and psychiatry, international experts discuss the genomic basis of schizophrenia, bipolar disorder, depression, personality disorders, anxiety disorders, addictions, eating disorders, and sleep disorders, among other disorders. In addition, recommendations for next steps in clinical implementation and drug discovery are discussed in-depth, with chapters dedicated to pharmacogenomics and antipsychotics, antidepressants and mood stabilizers, adverse drug reactions, implementation of pharmacogenomics in psychiatric clinics, and ethical issues. Finally, methods sections provide a solid grounding in research approaches and computational analytics, from using animal models in psychiatric genomics and accessing biobanks, to employing computational analysis, genome-wide association studies (GWAS), brain pathophysiology, and endophenotypes in psychiatric research.

Genome Plasticity in Health and Disease provides a fully up-to-date overview on genome plasticity and its role in human physiology and disease. Following an introduction to the field, a diverse range of chapters cover genomic and epigenomic analysis and the use of model organisms and genomic databases in studies. Specific molecular and biochemical mechanisms of genome plasticity are examined, including somatic variants, De Novo variants, founder variations, isolated populations dynamics, copy-number variations, mobile elements, DNA methylation, histone modifications, transcription factors, non-coding RNAs, telomere dynamics and RNA editing. Later chapters explore disease relevance for cancer, as well as cardiovascular, neuropsychiatric, inflammatory, and endocrine disease, and associated pathways for drug discovery.

Human Genome Informatics: Translating Genes into Health examines the most commonly used electronic tools for translating genomic information into clinically meaningful formats. By analyzing and comparing interpretation methods of whole genome data, the book discusses the possibilities of their application in genomic and translational medicine. Topics such as electronic decision-making tools, translation algorithms, interpretation and translation of whole genome data for rare diseases are thoroughly explored. In addition, discussions of current human genome databases and the possibilities of big data in genomic medicine are presented. With an updated approach on recent techniques and current human genomic databases, the book is a valuable source for students and researchers in genome and medical informatics. It is also ideal for workers in the bioinformatics industry who are interested in recent developments in the field.

Molecular Diagnostics, Third Edition, focuses on the technologies and applications that professionals need to work in, develop, and manage a clinical diagnostic laboratory. Each chapter contains an expert introduction to each subject that is next to technical details and many applications for molecular genetic testing that can be found in comprehensive reference lists at the end of each chapter. Contents are divided into three parts, technologies, application of those technologies, and related issues. The first part is dedicated to the battery of the most widely used molecular pathology techniques. New chapters have been added, including the various new technologies involved in next-generation sequencing (mutation detection, gene expression, etc.), mass spectrometry, and protein-specific methodologies. All revised chapters have been completely updated, to include not only technology innovations, but also novel diagnostic applications. As with previous editions, each of the chapters in this section includes a brief description of the technique followed by examples from the area of expertise from the selected contributor. The second part of the book attempts to integrate previously analyzed technologies into the different aspects of molecular diagnostics, such as identification of genetically modified organisms, stem cells, pharmacogenomics, modern forensic science, molecular microbiology, and genetic diagnosis. Part three focuses on various everyday issues in a diagnostic laboratory, from genetic counseling and related ethical and psychological issues, to safety and quality management.

Molecular Diagnostics covers current molecular biological techniques used to identify the underlying molecular defects in inherited disease. Although an increasing number of laboratories, both academic and private are moving in that direction, there are only a few books in the existing literature, and they deal only partly with diagnosis at the molecular level. Each chapter includes the principle and a brief description of the technique, followed by exmples from the authors' own epertise. Contributors are well-known experts in their field, and derive from a variety of disciplines, to ensure breadth and depth of coverage.
* Examines widely used molecular biology techniques to screen for genetic defects causing inherited disorders
* Includes state-of-the-art techniques for the detection of the underlying genetic heterogeneity leading to inherited disorders
* Identification of genetically modified organisms (GMO's)
* Forensic analysis and every-day issues in a diagnostic laboratory
* Discusses ethics, genetic counselling and quality management