Genetic Association Studies PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Genetic Association Studies PDF full book. Access full book title Genetic Association Studies by Mehmet Tevfik Dorak. Download full books in PDF and EPUB format.
Author: Mehmet Tevfik Dorak
Publisher: Garland Science
ISBN: 1351806424
Category : Science
Languages : en
Pages : 331
Get Book Here
Book Description
Genetic Association Studies is designed for students of public health, epidemiology, and the health sciecnes, covering the main principles of molecular genetics, population genetics, medical genetics, epidemiology and statistics. It presents a balanced view of genetic associations with coverage of candidate gene studies as well as genome-wide association studies. All aspects of a genetic association study are included, from the lab to analysis and interpretation of results, but also bioinformatics approaches to causality assessment. The role of the environment in genetic disease is also highlighted. Genetic Association Studies will enable readers to understand and critique genetic association studies and set them on the way to designing, executing, analyzing, interpreting, and reporting their own.
Author: Mehmet Tevfik Dorak
Publisher: Garland Science
ISBN: 1351806424
Category : Science
Languages : en
Pages : 331
Get Book Here
Book Description
Genetic Association Studies is designed for students of public health, epidemiology, and the health sciecnes, covering the main principles of molecular genetics, population genetics, medical genetics, epidemiology and statistics. It presents a balanced view of genetic associations with coverage of candidate gene studies as well as genome-wide association studies. All aspects of a genetic association study are included, from the lab to analysis and interpretation of results, but also bioinformatics approaches to causality assessment. The role of the environment in genetic disease is also highlighted. Genetic Association Studies will enable readers to understand and critique genetic association studies and set them on the way to designing, executing, analyzing, interpreting, and reporting their own.
Author: Gang Zheng
Publisher: Springer Science & Business Media
ISBN: 1461422450
Category : Medical
Languages : en
Pages : 419
Get Book Here
Book Description
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.
Author: Mehmet Tevfik Dorak
Publisher: Garland Science
ISBN: 1351806432
Category : Science
Languages : en
Pages : 241
Get Book Here
Book Description
Genetic Association Studies is designed for students of public health, epidemiology, and the health sciecnes, covering the main principles of molecular genetics, population genetics, medical genetics, epidemiology and statistics. It presents a balanced view of genetic associations with coverage of candidate gene studies as well as genome-wide association studies. All aspects of a genetic association study are included, from the lab to analysis and interpretation of results, but also bioinformatics approaches to causality assessment. The role of the environment in genetic disease is also highlighted. Genetic Association Studies will enable readers to understand and critique genetic association studies and set them on the way to designing, executing, analyzing, interpreting, and reporting their own.
Author: Xiangqing Sun
Publisher: Frontiers Media SA
ISBN: 2889199320
Category : Genetics
Languages : en
Pages : 86
Get Book Here
Book Description
Genome-wide association studies (GWAS) for complex disorders with large case-control populations have been performed on hundreds of traits in more than 1200 published studies (http://www.genome.gov/gwastudies/) but the variants detected by GWAS account for little of the heritability of these traits, leading to an increasing interest in using family based designs. While GWAS studies are designed to find common variants with low to moderate attributable risks, family based studies are expected to find rare variants with high attributable risk. Because family-based designs can better control both genetic and environmental background, this study design is robust to heterogeneity and population stratification. Moreover, in family-based analysis, the background genetic variation can be modeled to control the residual variance which could increase the power to identify disease associated rare variants. Analysis of families can also help us gain knowledge about disease transmission and inheritance patterns. Although a family-based design has the advantage of being robust to false positives, novel and powerful methods to analyze families in genetic epidemiology continue to be needed, especially for the interaction between genetic and environmental factors associated with disease. Moreover, with the rapid development of sequencing technology, advances in approaches to the design and analysis of sequencing data in families are also greatly needed. The 11 articles in this book all introduce new methodology and, using family data, substantial new findings are presented in the areas of infectious diseases, diabetes, eye traits, autism spectrum disorder and prostate cancer.
Author: D.C. Rao
Publisher: Academic Press
ISBN: 0080569110
Category : Medical
Languages : en
Pages : 788
Get Book Here
Book Description
The field of genetics is rapidly evolving and new medical breakthroughs are occuring as a result of advances in knowledge of genetics. This series continually publishes important reviews of the broadest interest to geneticists and their colleagues in affiliated disciplines. Five sections on the latest advances in complex traits Methods for testing with ethical, legal, and social implications Hot topics include discussions on systems biology approach to drug discovery; using comparative genomics for detecting human disease genes; computationally intensive challenges, and more
Author: Robert Mastrodomenico
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: Kitty Yuen Yi Wan
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: Zhan Su
Publisher:
ISBN:
Category : Human genetics
Languages : en
Pages : 0
Get Book Here
Book Description
Author: Benja Rambeloson
Publisher: Scitus Academics LLC
ISBN: 9781681170671
Category : Genetic epidemiology
Languages : en
Pages : 0
Get Book Here
Book Description
Genetic epidemiology is the study of the role of genes and environments on markers of health and disease risk in populations. It emerged as a mainstream discipline in the early 1980s, arising from firm foundations laid by mathematical population genetics, clinical genetics, and statistical epidemiology. Though genetic epidemiology attempts to identify the many components of risk attributable to genes, environments, and interactions between these two factors, the course of the research towards this goal can follow many diverse paths. In the last few years, the success of genome-wide association studies in their identification of hundreds of disease susceptibility loci has brought this specialist field to the forefront of biomedical research. Advances in molecular genetics will soon offer affordable means to measure or observe study participant's genetic material at the sequence level as well as more detailed functional data, such as gene expression.
Author: Danjuma X. Quarless
Publisher:
ISBN:
Category :
Languages : en
Pages : 116
Get Book Here
Book Description
Genetic variants, or changes in DNA sequence, are known to contribute to both complex and Mendelian diseases. The identification of individual and collections of variants, both common and rare, associated with diseases can help elucidate pathogenic mechanisms contributing to those diseases since it is known that genetic variants can impact gene function and drive pathophysiology. Unfortunately, there is no consensus on the best strategies for identifying genetic associations and effects. In fact, many methods simply involve testing each variant in the genome for association with a trait directly and ignore the fact that most molecular and physiological systems are quite complex and involve a number of interacting parts. In this light, the effect of any one variant may be masked by, or interact with, other variants and phenomena (such as environmental factors). This is a likely reason why many attempts to identify genetic variants associated with most diseases have not been able to explain the majority of the heritable component of those diseases. It is, therefore, important to consider genetic association analysis methods that are sensitive to the fact that genetic variants may exhibit effects that are "context dependent" in that their effects depend on the existence of other variants or environmental factors. Quantifying the extent to which genetic variants interact with other factors remains a challenge in genetic studies. This is the case despite the fact that there have been numerous historical studies exposing the existence of context dependent genetic effects in very broad settings that should motivate greater concern for context dependency in modern genetic association studies. For example, many model organism studies, highly contrived in vitro studies, studies of tumor responsiveness to targeted therapies, and general clinical studies of monogenic diseases have all suggested that the phenotypic impact of certain genetic factors is dependent on other factors. We believe that ignoring the genetic and overall context within which a genetic variant is operating can negatively impact understanding disease pathogenesis and human biology. In the following, we explore two broad settings in which genetic background and context can have an effect on the interpretation of the impact of genetic variation on a clinically meaningful phenotype. The first setting involves associating genetic variation exhibited by the pathogen Methicillin-Resistant Staphylococcus Aureus (MRSA) and the clinical outcomes of patients harboring an infection induced by that pathogen. Essentially, the current manner in which MRSA genetic variants are identified requires the choice of a reference strain genome whose genetic background relative to the strains of interest could influence the characterization, association and interpretation of the impact of those variants. The second setting considers the identification of genetic factors that either collectively influence Alzheimer's Disease (AD) in a manner that is dependent on the genetic background of the individuals studied or that work through mechanisms that can lead to their association with AD only if that mechanism is explicitly modeled. We ultimately believe that the approaches and findings in our work should motivate further research and a sensitivity to the numerous contexts in which genetic variants may impact a phenotype.
