Academic Press Evolution's Clinical Guidebook: Translating Ancient Genes into Precision Medicine

Evolution's Clinical Guidebook: Translating Ancient Genes into Precision Medicine demonstrates, through well-documented examples, how an understanding of the phylogenetic ancestry of humans allows us to make sense out of the flood of genetic data streaming from modern laboratories and how it can lead us to new ways to prevent, diagnose and treat diseases. Topics cover evolution and human genome, meiosis and other recombinants events, embryology, speciation, phylogeny, rare and common diseases, and the evolution of aging. This book is a valuable source for bioinformaticians and those in the biomedical field who need knowledge, down to gene level, to fully comprehend currently available data. Review Uses documented examples to illustrate how an understanding of humans phylogenetic ancestry helps us make sense of genetic data from modern laboratories From the Back Cover Evolution's Clinical Guidebook: Translating Ancient Genes Into Precision Medicine discusses, through numerous well-documented examples, how an understanding of the phylogenetic ancestry of humans allows us to make sense out of the flood of genetic data streaming from modern laboratories, and leads us to new ways to prevent, diagnose and treat diseases. The pathways leading to the development of disease are conserved cellular pathways, that came into existence at particular moments in the evolution of ancestral species. If we want to understand the pathways that lead to disease, it is necessary to look at how and why these pathways evolved, the functions they serve at particular stages in an organism's development, and the particular cells in which those pathways are expressed. The book discusses topics such as evolution and human genome; meiosis and other recombinants events; embryology; speciation; phylogeny; rare and common diseases; and the evolution of aging and the diseases thereof. This book is a valuable source for bioinformaticians and several members of biomedical field who needs to have knowledge on evolution, especially on genes level, to fully comprehend and take advantage of all data currently available on biomedical databases, in order to interpret it and pursue new approaches and developments on the bed side. About the Author Jules J. Berman, Ph.D., M.D. holds degrees from MIT, Temple University, and the University of Miami. He served as Chief of Anatomic Pathology, Surgical Pathology, and Cytopathology at the Veterans Administration Medical Center in Baltimore, Maryland, with joint appointments at the University of Maryland Medical Center and at the Johns Hopkins Medical Institutions. He later served at the US National Cancer Institute as a medical officer and as program director for pathology informatics in the Cancer Diagnosis Program. Dr. Berman is a past president of the Association for Pathology Informatics and the 2011 recipient of the association’s Lifetime Achievement Award.Jules J. Berman, Ph.D., M.D. holds degrees from MIT, Temple University, and the University of Miami. He served as Chief of Anatomic Pathology, Surgical Pathology, and Cytopathology at the Veterans Administration Medical Center in Baltimore, Maryland, with joint appointments at the University of Maryland Medical Center and at the Johns Hopkins Medical Institutions. He later served at the US National Cancer Institute as a medical officer and as program director for pathology informatics in the Cancer Diagnosis Program. Dr. Berman is a past president of the Association for Pathology Informatics and the 2011 recipient of the association’s Lifetime Achievement Award. He has first-authored more than 100 journal articles and has written 18 science books. His most recent titles, published by Elsevier, include: -Taxonomic Guide to Infectious Diseases: Understanding the Biologic Classes of Pathogenic Organisms, 1st edition (2012) -Principles of Big Data: Preparing, Sharing, and Analyzing Complex Information (2013) -Rar