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Fundamentals of Genetic Epidemiology

1993 Medical
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Release : 1993
Genre : Medical
Kind : eBook
Book Rating : 889/5 ( reviews)

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Book Synopsis Fundamentals of Genetic Epidemiology by : Muin J. Khoury

Download or read book Fundamentals of Genetic Epidemiology written by Muin J. Khoury. This book was released on 1993. Available in PDF, EPUB and Kindle. Book excerpt: This text integrates the principles, methods and approaches of epidemiology and genetics in the study of disease aetiology. The authors define the central theme of genetic epidemiology as the study of the role of genetic factors and their interaction with environmental factors in the occurrence of disease in populations.

An Introduction to Genetic Epidemiology

2011-05-31 Medical
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Release : 2011-05-31
Genre : Medical
Kind : eBook
Book Rating : 975/5 ( reviews)

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Book Synopsis An Introduction to Genetic Epidemiology by : Palmer, Lyle J.

Download or read book An Introduction to Genetic Epidemiology written by Palmer, Lyle J.. This book was released on 2011-05-31. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Genetic Epidemiology

2004
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Release : 2004
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Genetic Epidemiology by :

Download or read book Genetic Epidemiology written by . This book was released on 2004. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Methods in Genetic Epidemiology

2004-01-29 Medical
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Release : 2004-01-29
Genre : Medical
Kind : eBook
Book Rating : 055/5 ( reviews)

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Book Synopsis Statistical Methods in Genetic Epidemiology by : Duncan C. Thomas

Download or read book Statistical Methods in Genetic Epidemiology written by Duncan C. Thomas. This book was released on 2004-01-29. Available in PDF, EPUB and Kindle. Book excerpt: 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.

The Fundamentals of Modern Statistical Genetics

2010-12-13 Medical
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Release : 2010-12-13
Genre : Medical
Kind : eBook
Book Rating : 389/5 ( reviews)

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Book Synopsis The Fundamentals of Modern Statistical Genetics by : Nan M. Laird

Download or read book The Fundamentals of Modern Statistical Genetics written by Nan M. Laird. This book was released on 2010-12-13. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics. Starting with Mendel’s first experiments to genome-wide association studies, the book describes how genetic information can be incorporated into statistical models to discover disease genes. All commonly used approaches in statistical genetics (e.g. aggregation analysis, segregation, linkage analysis, etc), are used, but the focus of the book is modern approaches to association analysis. Numerous examples illustrate key points throughout the text, both of Mendelian and complex genetic disorders. The intended audience is statisticians, biostatisticians, epidemiologists and quantitatively- oriented geneticists and health scientists wanting to learn about statistical methods for genetic analysis, whether to better analyze genetic data, or to pursue research in methodology. A background in intermediate level statistical methods is required. The authors include few mathematical derivations, and the exercises provide problems for students with a broad range of skill levels. No background in genetics is assumed.

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