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| Author | : Eugene E. Harris (Professor) |
| Publisher | : Oxford University Press, USA |
| Total Pages | : 249 |
| Release | : 2015 |
| Genre | : Science |
| ISBN | : 0199978034 |
Geneticist Eugene Harris presents us with the complete and up-to-date account of the evolution of the human genome.
| Author | : Constance B. Hilliard |
| Publisher | : Harvard University Press |
| Total Pages | : 209 |
| Release | : 2024 |
| Genre | : Medical |
| ISBN | : 0674268601 |
Race is a social reality, not a biological one. Yet African Americans are poorly served by even advanced genetic medicine because it is built on European DNA. Constance Hilliard explores the benefits and drawbacks of racial heuristics in medicine and argues for nonessentializing methods of harnessing genomic science on behalf of people of color.
| Author | : Constance B. Hilliard |
| Publisher | : Harvard University Press |
| Total Pages | : 209 |
| Release | : 2024-04-16 |
| Genre | : Social Science |
| ISBN | : 067429677X |
A leading evolutionary historian offers a radical solution to racial health disparities in the United States. Constance B. Hilliard was living in Japan when she began experiencing joint pain. Her doctor diagnosed osteoarthritis—a common ailment for someone her age. But her bloodwork showed something else: Hilliard, who had never had kidney problems, appeared to be suffering from renal failure. When she returned to Texas, however, a new round of tests showed that her kidneys were healthy. Unlike the Japanese doctor, her American primary care provider had checked a box on her lab report for “African American.” As a scholar of scientific racism, Hilliard was perplexed. Why should race, which experts agree has no biological basis, matter for getting accurate test results? Ancestral Genomics is the result of Hilliard’s decade-long quest to solve this puzzle. In a masterful synthesis of evolutionary history, population genetics, and public health research, she addresses the usefulness of race as a heuristic in genomic medicine. Built from European genetic data, the Human Genome Project and other databases have proven inadequate for identifying disease-causing gene variants in patients of African descent. Such databases, Hilliard argues, overlook crucial information about the environments to which their ancestors’ bodies adapted prior to the transatlantic slave trade. Hilliard shows how, by analyzing “ecological niche populations,” a classification model that combines family and ecological histories with genetic information, our increasingly advanced genomic technologies, including personalized medicine, can serve African Americans and other people of color, while avoiding racial essentialism. Forcefully argued and morally urgent, Ancestral Genomics is a clarion call for the US medical community to embrace our multigenomic society.
| Author | : Daniel L. Hartl |
| Publisher | : Oxford University Press, USA |
| Total Pages | : 313 |
| Release | : 2020 |
| Genre | : Science |
| ISBN | : 0198862296 |
This accessible primer has been completely revised and updated to provide a concise but comprehensive introduction to the basic concepts of population genetics and genomics.
| Author | : Eugene E. Harris |
| Publisher | : Oxford University Press |
| Total Pages | : 200 |
| Release | : 2014-10-31 |
| Genre | : Science |
| ISBN | : 0199978204 |
In 2001, scientists were finally able to determine the full human genome sequence, and with the discovery began a genomic voyage back in time. Since then, we have sequenced the full genomes of a number of mankind's primate relatives at a remarkable rate. The genomes of the common chimpanzee (2005) and bonobo (2012), orangutan (2011), gorilla (2012), and macaque monkey (2007) have already been identified, and the determination of other primate genomes is well underway. Researchers are beginning to unravel our full genomic history, comparing it with closely related species to answer age-old questions about how and when we evolved. For the first time, we are finding our own ancestors in our genome and are thereby gleaning new information about our evolutionary past. In Ancestors in Our Genome, molecular anthropologist Eugene E. Harris presents us with a complete and up-to-date account of the evolution of the human genome and our species. Written from the perspective of population genetics, and in simple terms, the book traces human origins back to their source among our earliest human ancestors, and explains many of the most intriguing questions that genome scientists are currently working to answer. For example, what does the high level of discordance among the gene trees of humans and the African great apes tell us about our respective separations from our common ancestor? Was our separation from the apes fast or slow, and when and why did it occur? Where, when, and how did our modern species evolve? How do we search across genomes to find the genomic underpinnings of our large and complex brains and language abilities? How can we find the genomic bases for life at high altitudes, for lactose tolerance, resistance to disease, and for our different skin pigmentations? How and when did we interbreed with Neandertals and the recently discovered ancient Denisovans of Asia? Harris draws upon extensive experience researching primate evolution in order to deliver a lively and thorough history of human evolution. Ancestors in Our Genome is the most complete discussion of our current understanding of the human genome available.
| Author | : David A Liberles |
| Publisher | : OUP Oxford |
| Total Pages | : 266 |
| Release | : 2007-05-31 |
| Genre | : Science |
| ISBN | : 0191538418 |
Ancestral sequence reconstruction is a technique of growing importance in molecular evolutionary biology and comparative genomics. As a powerful tool for testing evolutionary and ecological hypotheses, as well as uncovering the link between sequence and molecular phenotype, there are potential applications in a range of fields. Ancestral Sequence Reconstruction starts with a historical overview of the field, before discussing the potential applications in drug discovery and the pharmaceutical industry. This is followed by a section on computational methodology, which provides a detailed discussion of the available methods for reconstructing ancestral sequences (including their advantages, disadvantages, and potential pitfalls). Purely computational applications of the technique are then covered, including whole proteome reconstruction. Further chapters provide a detailed discussion on taking computationally reconstructed sequences and synthesizing them in the laboratory. The book concludes with a description of the scientific questions where experimental ancestral sequence reconstruction has been utilized to provide insights and inform future research. This research level text provides a first synthesis of the theories, methodologies and applications associated with ancestral sequence recognition, while simultaneously addressing many of the hot topics in the field. It will be of interest and use to both graduate students and researchers in the fields of molecular biology, molecular evolution, and evolutionary bioinformatics.
| Author | : Julien Y Dutheil |
| Publisher | : |
| Total Pages | : 464 |
| Release | : 2020-10-08 |
| Genre | : Science |
| ISBN | : 9781013271403 |
This open access volume presents state-of-the-art inference methods in population genomics, focusing on data analysis based on rigorous statistical techniques. After introducing general concepts related to the biology of genomes and their evolution, the book covers state-of-the-art methods for the analysis of genomes in populations, including demography inference, population structure analysis and detection of selection, using both model-based inference and simulation procedures. Last but not least, it offers an overview of the current knowledge acquired by applying such methods to a large variety of eukaryotic organisms. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, pointers to the relevant literature, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Statistical Population Genomics aims to promote and ensure successful applications of population genomic methods to an increasing number of model systems and biological questions. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
| Author | : Maria Anisimova |
| Publisher | : Humana Press |
| Total Pages | : 556 |
| Release | : 2012-03-08 |
| Genre | : Medical |
| ISBN | : 9781617795848 |
Together with early theoretical work in population genetics, the debate on sources of genetic makeup initiated by proponents of the neutral theory made a solid contribution to the spectacular growth in statistical methodologies for molecular evolution. Evolutionary Genomics: Statistical and Computational Methods is intended to bring together the more recent developments in the statistical methodology and the challenges that followed as a result of rapidly improving sequencing technologies. Presented by top scientists from a variety of disciplines, the collection includes a wide spectrum of articles encompassing theoretical works and hands-on tutorials, as well as many reviews with key biological insight. Volume 2 begins with phylogenomics and continues with in-depth coverage of natural selection, recombination, and genomic innovation. The remaining chapters treat topics of more recent interest, including population genomics, -omics studies, and computational issues related to the handling of large-scale genomic data. Written in the highly successful Methods in Molecular BiologyTM series format, this work provides the kind of advice on methodology and implementation that is crucial for getting ahead in genomic data analyses. Comprehensive and cutting-edge, Evolutionary Genomics: Statistical and Computational Methods is a treasure chest of state-of the-art methods to study genomic and omics data, certain to inspire both young and experienced readers to join the interdisciplinary field of evolutionary genomics.
| Author | : Ranajit Das |
| Publisher | : Frontiers Media SA |
| Total Pages | : 149 |
| Release | : 2022-03-03 |
| Genre | : Science |
| ISBN | : 2889745716 |
Topic Editor Ranajit Das is the Founder Director of Genome Mapster and Infygene Genomic Healthcare. Topic Editor Tatiana Tatarinova holds patents related to the Research Topic subject. All other Topic Editors declare no competing interests with regard to the Research Topic subject.
| Author | : Mark Jobling |
| Publisher | : Garland Science |
| Total Pages | : 544 |
| Release | : 2013-06-25 |
| Genre | : Science |
| ISBN | : 1136844147 |
Human Evolutionary Genetics is a groundbreaking text which for the first time brings together molecular genetics and genomics to the study of the origins and movements of human populations. Starting with an overview of molecular genomics for the non-specialist (which can be a useful review for those with a more genetic background), the book shows how data from the post-genomic era can be used to examine human origins and the human colonization of the planet, richly illustrated with genetic trees and global maps. For the first time in a textbook, the authors outline how genetic data and the understanding of our origins which emerges, can be applied to contemporary population analyses, including genealogies, forensics and medicine.
