Biostatistical Methods In Genetics And Genetic Epidemiology An Introduction To Genetic Epidemiology Biostatistical Genetics

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Biostatistical Methods in Genetics and Genetic Epidemiology: An Introduction to Genetic Epidemiology & Biostatistical Genetics

Biostatistical Methods in Genetics and Genetic Epidemiology offers a comprehensive exploration of the powerful intersection between biostatistics, genetics, and epidemiology. This authoritative book delves into the fundamental principles and advanced methodologies that drive genetic research and enable a deeper understanding of the complex relationship between genes, diseases, and population health. With a focus on practical applications and real-world examples, this book equips readers with the necessary tools to navigate the vast landscape of genomic analysis. From unraveling genetic variation to investigating disease risk factors and exploring the role of environmental factors, this book provides a solid foundation for researchers, practitioners, and students in the fields of biostatistics, genetics, epidemiology, and related disciplines. Key Features: Comprehensive Coverage: Explore the essential concepts, techniques, and study designs used in genetic research, including case-control studies, linkage analysis, genome-wide association studies, and more. Statistical Methods: Gain a deep understanding of the statistical principles and methodologies employed in genetic analysis, including statistical genetics, genetic risk prediction, and analysis of complex traits. Genetic Epidemiology: Examine the integration of genetics and epidemiology, uncovering how genetic factors interact with environmental and lifestyle factors to influence disease outcomes and population health. Practical Examples: Benefit from real-world examples and case studies that demonstrate the application of biostatistical methods in unraveling the genetic underpinnings of diseases, identifying genetic risk factors, and informing public health interventions. Ethical and Legal Considerations: Explore the ethical implications and challenges surrounding genetic research, genetic counseling, privacy, and data sharing. Emerging Trends: Stay up-to-date with the latest advancements in the field, including precision medicine, pharmacogenomics, epigenetics, and the integration of multi-omics data. Biostatistical Methods in Genetics and Genetic Epidemiology is an invaluable resource for researchers, practitioners, and students seeking to unravel the complexities of genetics and its impact on human health. Whether you are a biostatistician, geneticist, epidemiologist, or medical professional, this book will empower you to navigate the rapidly evolving field of genomics and make meaningful contributions to precision medicine, disease prevention, and public health initiatives.
Statistical Methods in Genetic Epidemiology

Author: Duncan C. Thomas
language: en
Publisher: Oxford University Press
Release Date: 2004-01-29
This well-organized and clearly written text has a unique focus on methods of identifying the joint effects of genes and environment on disease patterns. It follows the natural sequence of research, taking readers through the study designs and statistical analysis techniques for determining whether a trait runs in families, testing hypotheses about whether a familial tendency is due to genetic or environmental factors or both, estimating the parameters of a genetic model, localizing and ultimately isolating the responsible genes, and finally characterizing their effects in the population. Examples from the literature on the genetic epidemiology of breast and colorectal cancer, among other diseases, illustrate this process. Although the book is oriented primarily towards graduate students in epidemiology, biostatistics and human genetics, it will also serve as a comprehensive reference work for researchers. Introductory chapters on molecular biology, Mendelian genetics, epidemiology, statistics, and population genetics will help make the book accessible to those coming from one of these fields without a background in the others. It strikes a good balance between epidemiologic study designs and statistical methods of data analysis.
An Introduction to Genetic Epidemiology

This book brings together leading experts to provide an introduction to genetic epidemiology that begins with a primer in human molecular genetics through all the standard methods in population genetics and genetic epidemiology required for an adequate grounding in the field.