Psychiatric Genomics

This book PDF is perfect for those who love Medical genre, written by Evangelia Eirini Tsermpini and published by Academic Press which was released on 18 March 2022 with total hardcover pages 418. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Psychiatric Genomics books below.

Psychiatric Genomics
Author : Evangelia Eirini Tsermpini
File Size : 55,7 Mb
Publisher : Academic Press
Language : English
Release Date : 18 March 2022
ISBN : 9780128214008
Pages : 418 pages
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Psychiatric Genomics by Evangelia Eirini Tsermpini Book PDF Summary

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. Thoroughly examines the genetic mechanisms underlying a broad range of psychiatric disorders Offers genomic methodologies and analytical approaches supporting new research and clinical translation, including personalized diagnosis and treatment models Features chapter contributions from international leaders in the field

Psychiatric Genomics

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

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Psychiatric genetics has become ‘Big Biology’. This may come as a surprising development to those familiar with its controversial history. From eugenic origins and contentious twin studies to a global network of laboratories employing high-throughput genetic and genomic technologies, biological research on psychiatric disorders has become an international, multidisciplinary assemblage

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Principles of Psychiatric Genetics

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Psychiatric genetics is an exciting new discipline that explores how our minds and behavior are influenced by our genes. Increased interest in this area of medical genetics has been sparked by advances in molecular genetic techniques, the genome project, the neurosciences, the role of genes in somatic diseases, and the

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Personalized Psychiatry

Personalized Psychiatry presents the first book to explore this novel field of biological psychiatry that covers both basic science research and its translational applications. The book conceptualizes personalized psychiatry and provides state-of-the-art knowledge on biological and neuroscience methodologies, all while integrating clinical phenomenology relevant to personalized psychiatry and discussing important

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Genomics  Circuits  and Pathways in Clinical Neuropsychiatry

This foundational work comprehensively examines the current state of the genetics, genomics and brain circuitry of psychiatric and neurological disorders. It consolidates discoveries of specific genes and genomic regions associated with these conditions, the genetic and anatomic architecture of these syndromes, and addresses how recent advances in genomics are leading

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