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This book presents the state of the art of type 2 diabetes genetics, from the process of genetic discovery to its interpretation and clinical application, and illustrates a model for other complex human phenotypes.The first section explores genome-wide association studies, the extension of this method to less accessible phenotypes and the arrival of next-generation sequencing. A further section goes beyond genetics to illustrate how other data sources can help interpret genetic data, such as leveraging population diversity, the correlation of genetic associations with physiological measurements, gene expression modulation, environmental factors and our microbial commensals. The third section describes advances in elucidating the complex path from association to function using in-depth sequencing and functional studies of the cellular and molecular effects of genes in the loci identified by genetics. The final section links our current understanding with clinically relevant questions, such as prediction, interactions with drugs or nutrients, and disease prevention, and paints a realistic but hopeful vision of the future.
"The series which all immunologists need."--The Pharmaceutical Journal"Advances in Immunology must find itself among the most active volumes in the libraries of our universities and institutions."--Science"Deserves a permanent place in biomedical libraries as an aid in research and in teaching"--Journal of Immunological Methods"A provocative and scholarly review of research"--Journal of the American Medical Association"Provides an extremely valuable source of reference and many stimulating ideas...the main repository of information in a rapidly devloping subject"--The Lancet"Provides unrivalled value in both academic and fiscal terms and should be purchased by hard pressed librarians as a ma...
Written for drug developers rather than computer scientists, this monograph adopts a systematic approach to mining scientifi c data sources, covering all key steps in rational drug discovery, from compound screening to lead compound selection and personalized medicine. Clearly divided into four sections, the first part discusses the different data sources available, both commercial and non-commercial, while the next section looks at the role and value of data mining in drug discovery. The third part compares the most common applications and strategies for polypharmacology, where data mining can substantially enhance the research effort. The final section of the book is devoted to systems biology approaches for compound testing. Throughout the book, industrial and academic drug discovery strategies are addressed, with contributors coming from both areas, enabling an informed decision on when and which data mining tools to use for one's own drug discovery project.
Proteins are indispensable players in virtually all biological events. The functions of proteins are coordinated through intricate regulatory networks of transient protein-protein interactions (PPIs). To predict and/or study PPIs, a wide variety of techniques have been developed over the last several decades. Many in vitro and in vivo assays have been implemented to explore the mechanism of these ubiquitous interactions. However, despite significant advances in these experimental approaches, many limitations exist such as false-positives/false-negatives, difficulty in obtaining crystal structures of proteins, challenges in the detection of transient PPI, among others. To overcome these limitations, many computational approaches have been developed which are becoming increasingly widely used to facilitate the investigation of PPIs. This book has gathered an ensemble of experts in the field, in 22 chapters, which have been broadly categorized into Computational Approaches, Experimental Approaches, and Others.
This new volume in the Subcellular Biochemistry series will focus on the biochemistry and cellular biology of aging processes in human cells. The chapters will be written by experts in their respective fields and will focus on a number of the current key areas of research in subcellular aging research. Main topics for discussion are mitochondrial aging, protein homeostasis and aging and the genetic processes that are involved in aging. There will also be chapters that are dedicated to the study of the roles of a variety of vitamins and minerals on aging and a number of other external factors (microbiological, ROS, inflammation, nutrition). This book will provide the reader with a state of the art overview of the subcellular aging field. This book will be published in cooperation with a second volume that will discuss the translation of the cell biology of aging to a more clinical setting and it is hoped that the combination of these two volumes will bring a deeper understanding of the links between the cell and the body during aging.
This text covers the basic principles of mitochondrial dynamics in cardiovascular medicine, with particular emphasis on their functional roles in physiology and disease. The book will include articles pertaining to mitochondrial fitness on a global basis, providing therefore an update on the progress made in several aspects in the field. Thus, it will assist scientists and clinicians alike in furthering basic and translational research. Organized in sections focusing on: basic science, mitochondrial dysfunction in cardiac disorders, in vascular disorders, in metabolic disorders, in kidney disease, therapeutic challenges and options, this essential volume fills imperative gaps in understanding and potentially treating several cardiovascular disorders.
A state-of-the-art and concise resource presenting the clinical management of pediatric endocrine diseases and disorders, this third edition of the highly regarded textbook covers the most common and challenging conditions seen by practicing endocrinologists and primary care physicians, including growth, hypothalamic, pituitary, adrenal, thyroid, calcium and bone, and reproductive disorders, as well as metabolic syndromes. This expanded third edition includes new topics such as conditions of overgrowth, low bone density and its management, endocrine issues related to sexual identity, mineralocorticoid disorders and endocrine hypertension, and endocrine emergencies. Some existing chapters are...
Heterogeneity, or mixtures, are ubiquitous in genetics. Even for data as simple as mono-genic diseases, populations are a mixture of affected and unaffected individuals. Still, most statistical genetic association analyses, designed to map genes for diseases and other genetic traits, ignore this phenomenon. In this book, we document methods that incorporate heterogeneity into the design and analysis of genetic and genomic association data. Among the key qualities of our developed statistics is that they include mixture parameters as part of the statistic, a unique component for tests of association. A critical feature of this work is the inclusion of at least one heterogeneity parameter when performing statistical power and sample size calculations for tests of genetic association. We anticipate that this book will be useful to researchers who want to estimate heterogeneity in their data, develop or apply genetic association statistics where heterogeneity exists, and accurately evaluate statistical power and sample size for genetic association through the application of robust experimental design.
This book examines the utility of genome-wide association studies (GWAS) in the era of next-generation sequencing and big data, identifies limitations and potential means of overcoming them, and looks to the future of GWAS and what may lay beyond. GWAS are among the most powerful tools for elucidating the genetic aspects of human and disease diversity. In Genome-Wide Association Studies, experts in the field explore in depth the impacts of GWAS on genomic research into a variety of common diseases, including cardiovascular, autoimmune, diabetic, cancer, and infectious diseases. The book will equip readers with a sound understanding both of the types of disease and phenotypes that are suited for GWAS and of the ways in which a road map resulting from GWAS can lead to the realization of personalized/precision medicine: functional analysis, drug seeds, pathway analysis, disease mechanism, risk prediction, and diagnosis.