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Gene Environment Interaction Analysis


Gene Environment Interaction Analysis
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Gene Environment Interaction Analysis


Gene Environment Interaction Analysis
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Author : Sumiko Anno
language : en
Publisher: CRC Press
Release Date : 2016-03-30

Gene Environment Interaction Analysis written by Sumiko Anno and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-30 with Mathematics categories.


Gene-environment (GE) interaction analysis is a statistical method for clarifying GE interactions applicable to a phenotype or a disease that is the result of interactions between genes and the environment. This is the first book dealing with the theme of gene-environment (G ) interaction analysis. The book compiles and details cutting-edge research in bioinformatics and computational biology. Edited by Sumiko Anno.



Statistical Approaches To Gene X Environment Interactions For Complex Phenotypes


Statistical Approaches To Gene X Environment Interactions For Complex Phenotypes
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Author : Michael Windle
language : en
Publisher: MIT Press
Release Date : 2016-07-08

Statistical Approaches To Gene X Environment Interactions For Complex Phenotypes written by Michael Windle and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-08 with Computers categories.


Findings from the Human Genome Project and from Genome-Wide Association (GWA) studies indicate that many diseases and traits manifest a more complex genomic pattern than previously assumed. These findings, and advances in high-throughput sequencing, suggest that there are many sources of influence-genetic, epigenetic, and environmental. This volume investigates the role of the interactions of genes and environment (G x E) in diseases and traits (referred to by the contributors as complex phenotypes) including depression, diabetes, obesity, and substance use.



Multi Omics Strategies For Detecting Gene Environment Interactions


Multi Omics Strategies For Detecting Gene Environment Interactions
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Author : Patrick Deelen
language : en
Publisher: Patrick Deelen
Release Date : 2019-05-06

Multi Omics Strategies For Detecting Gene Environment Interactions written by Patrick Deelen and has been published by Patrick Deelen this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-06 with Science categories.


Our DNA, 3 billion letters long, is the blueprint of life. People differ from each other in around 1% of these letters. However, it is largely unknown which of these differences cause disease, nor how exactly changes in DNA ultimately lead to disease. In my PhD research I contributed to the detection of these genetic risk factors and studied how these DNA changes actually disrupt the correct functioning of cells. Using the "Genome of the Netherlands" project results, in which the BBMRI-NL consortium fully mapped the DNA of 250 Dutch families, I was able to improve genetic research in other groups of people and thereby better detect genetic risk factors. I then looked at how these DNA changes disrupt individual cells in a large number of people participating in various Dutch bio-banks such as Lifelines. By looking at DNA, RNA, epigenetics and proteins at the same time, I was able to discover many genetic risk factors, which biological processes they disrupt, and which ones offer starting points for the development of new medicines that can repair these disrupted processes. In addition, through the large-scale re-use of RNA data, I was able to map how many genes relate together and to disease. With these big data analyses, I subsequently developed a new algorithm that is now being used to make a diagnosis more quickly in people with a serious illness. With my PhD research, I contributed to the immediate improvement of patient care and collected new knowledge that could help in the longer term with the development of new medicines.



Nutrigenetics And Nutrigenomics


Nutrigenetics And Nutrigenomics
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Author : Artemis P. Simopoulos
language : en
Publisher: Karger Medical and Scientific Publishers
Release Date : 2004-01-01

Nutrigenetics And Nutrigenomics written by Artemis P. Simopoulos and has been published by Karger Medical and Scientific Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-01-01 with Health & Fitness categories.


For the first time, international scientists describe the advances in genetics and nutrition by combining methods of molecular biology with those of functional genetics, also known as systems biology. This book provides the latest data on genetic variation and dietary response, nutrients and gene expression, and the contribution molecular biology has given to systems biology. It also includes a comprehensive critique of genetic association studies in defining the risk of chronic diseases and concludes that molecular diagnostic tests will eventually affect every area of health care from individual risk prediction, early diagnosis of disease, and determination of optimal treatment regimens, to monitoring treatment effectiveness. The appendix contains an extensive glossary of the newly emerging terminology, as well as recommendations for genetic screening. This publication is an essential tool for the future work of all physicians, nutritionists, dietitians, geneticists, physiologists, molecular biologists, anthropologists, food technologists, policy makers, ethicists and educators.



Gene Environment Interactions In Developmental Psychopathology


Gene Environment Interactions In Developmental Psychopathology
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Author : Kenneth A. Dodge
language : en
Publisher: Guilford Press
Release Date : 2011-09-01

Gene Environment Interactions In Developmental Psychopathology written by Kenneth A. Dodge and has been published by Guilford Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-01 with Psychology categories.


Bringing together foremost experts, this book reviews groundbreaking gene–environment research and explores implications for clinical practice, prevention, and public policy. Presented is cutting-edge work on the interplay of genetic factors and childhood experiences in the development of mental disorders such as depression, conduct disorder, and schizophrenia. Essential topics include what scientists currently know about "susceptibility genes"; the mechanisms by which maltreatment and other stressors interact with biological susceptibilities across development; and factors that make certain children more resilient than others. Future directions for personalizing treatment and prevention efforts, thus making them more effective, are discussed.



Cardiovascular Genetics And Genomics In Clinical Practice


Cardiovascular Genetics And Genomics In Clinical Practice
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Author : Donna K. Arnett
language : en
Publisher: Demos Medical Publishing
Release Date : 2014-11-10

Cardiovascular Genetics And Genomics In Clinical Practice written by Donna K. Arnett and has been published by Demos Medical Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-10 with Medical categories.


Weighted Numerical Score: 100 - 5 Stars! This is a systematic guide to cardiovascular genetics and genomics from basic concepts to clinical application. It organizes a large volume of information from an active area of research, which holds promise for future discovery. --Doody's Reviews Cardiovascular Genetics and Genomics in Clinical Practice presents clinical cases to illuminate basic concepts of cardiovascular genetics and genomics as practitioners encounter them in day-to-day practice. The unique use of real-world case discussions facilitates the memorization and understanding of basic principles, which can be more readily applied to actual cases. Cardiovascular Genetics and Genomics in Clinical Practice features a step-by-step learning process that begins with an easy-to-understand "primer" of basic scientific concepts regarding cardiovascular genetics and genomics followed by state-of-the-art research and applications for treatment of cardiovascular disorders. Expert clinicians and researchers describe illustrative cases for each topic along with detailed discussions of current scientific understanding and its application in current disease management and treatment. Summaries, key teaching points, and illustrations are highlighted to facilitate quick recall and review. The book will be useful for cardiovascular clinicians in training, board preparation, or as a review for those already in clinical practice. Cardiovascular Genetics and Genomics in Clinical Practice features: Clinical case scenarios to illuminate the basic concepts of cardiovascular genetics and genomics as they are used in daily practice Explanation of fundamental concepts as a foundation for more in-depth understanding Detailed discussions of current scientific knowledge and clinical management The expertise of renowned clinician-scientists in the field Real practical insight for practice



Analysis Of Genetic Association Studies


Analysis Of Genetic Association Studies
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Author : Gang Zheng
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-01-11

Analysis Of Genetic Association Studies written by Gang Zheng and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-11 with Medical categories.


Analysis of Genetic Association Studies is both a graduate level textbook in statistical genetics and genetic epidemiology, and a reference book for the analysis of genetic association studies. Students, researchers, and professionals will find the topics introduced in Analysis of Genetic Association Studies particularly relevant. The book is applicable to the study of statistics, biostatistics, genetics and genetic epidemiology. In addition to providing derivations, the book uses real examples and simulations to illustrate step-by-step applications. Introductory chapters on probability and genetic epidemiology terminology provide the reader with necessary background knowledge. The organization of this work allows for both casual reference and close study.



Vogel And Motulsky S Human Genetics


Vogel And Motulsky S Human Genetics
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Author : Michael Speicher
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-11-26

Vogel And Motulsky S Human Genetics written by Michael Speicher and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-11-26 with Medical categories.


The fourth edition of this classical reference book can once again be relied upon to present a cohesive and up-to-date exposition of all aspects of human and medical genetics. Human genetics has become one of the main basic sciences in medicine, and molecular genetics is increasingly becoming a major part of this field. This new edition integrates a wealth of new information - mainly describing the influence of the "molecular revolution" - including the principles of epigenetic processes which together create the phenotype of a human being. Other revisions are an improved layout, sub-division into a larger number of chapters, as well as two-colour print throughout for ease of reference, and many of the figures are now in full colour. For graduates and those already working in medical genetics.



Environmental Factors Genes And The Development Of Human Cancers


Environmental Factors Genes And The Development Of Human Cancers
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Author : Deodutta Roy
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-09-11

Environmental Factors Genes And The Development Of Human Cancers written by Deodutta Roy and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-11 with Medical categories.


Cancer is a complex disease. Only 5-10% of human cancers are hereditary in nature. Many of us think of environmental agents when we think of carcinogens. The environment includes all that surrounds us, and environmental influences include not only chemical, physical and biological toxicants, but also diet and lifestyle. In this broadest sense, the environment contributes substantially in the development of human cancer. This book will describe how environment contributes to malignant transformation leading to profound changes in the genetic and signaling networks that control the functioning of the cell. It will critically discuss the understanding of the effects of environment on the development, progression and metastasis of cancer with current knowledge of the signaling networks that support functioning of transformed human cells. Genes and environmental factors that influence the origins of cancer are not necessarily the same as those that contribute to its progression and metastasis. Susceptibility gene variants for each specific cancer are being identified with emerging evidence of gene–environment interaction. Gene-environment interactions will be discussed through each specific cancer-based approach to address the question of how genetic variations can influence susceptibility to the individual type of cancer. It will also highlight and summarize epigenetic changes that increase the risk for susceptibility to a particular type of cancer, particularly in the presence of specific environmental factors. Thus, this book will contain chapters from the world’s experts focused on the current evidences that support the role of environment in the cancer etiology and in the growth of malignant lesions, and discuss who may be susceptible to environmental influences.



Handbook Of Statistical Methods For Case Control Studies


Handbook Of Statistical Methods For Case Control Studies
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Author : Ørnulf Borgan
language : en
Publisher: CRC Press
Release Date : 2018-06-27

Handbook Of Statistical Methods For Case Control Studies written by Ørnulf Borgan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-27 with Mathematics categories.


Handbook of Statistical Methods for Case-Control Studies is written by leading researchers in the field. It provides an in-depth treatment of up-to-date and currently developing statistical methods for the design and analysis of case-control studies, as well as a review of classical principles and methods. The handbook is designed to serve as a reference text for biostatisticians and quantitatively-oriented epidemiologists who are working on the design and analysis of case-control studies or on related statistical methods research. Though not specifically intended as a textbook, it may also be used as a backup reference text for graduate level courses. Book Sections Classical designs and causal inference, measurement error, power, and small-sample inference Designs that use full-cohort information Time-to-event data Genetic epidemiology About the Editors Ørnulf Borgan is Professor of Statistics, University of Oslo. His book with Andersen, Gill and Keiding on counting processes in survival analysis is a world classic. Norman E. Breslow was, at the time of his death, Professor Emeritus in Biostatistics, University of Washington. For decades, his book with Nick Day has been the authoritative text on case-control methodology. Nilanjan Chatterjee is Bloomberg Distinguished Professor, Johns Hopkins University. He leads a broad research program in statistical methods for modern large scale biomedical studies. Mitchell H. Gail is a Senior Investigator at the National Cancer Institute. His research includes modeling absolute risk of disease, intervention trials, and statistical methods for epidemiology. Alastair Scott was, at the time of his death, Professor Emeritus of Statistics, University of Auckland. He was a major contributor to using survey sampling methods for analyzing case-control data. Chris J. Wild is Professor of Statistics, University of Auckland. His research includes nonlinear regression and methods for fitting models to response-selective data.