Methods in Statistical Genomics In the Context of Genome Wide Association Studies 1st Edition by Philip Chester Cooley 1934831168 9781934831168

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ISBN 10: 1934831168
ISBN 13: 9781934831168
Author: Philip Chester Cooley

This groundbreaking work uses a simulated data set to evaluate new analytic methods in genome-wide association studies (GWAS). The human genome is very complex, and the effect of a genetic variant depends on many factors including where the gene is expressed, when it is expressed, how it interacts with other genes that themselves may harbor variants, and the effect of the environment. GWAS have identified many new genetic risk factors for a number of common human diseases, but much work remains to be done and can only be accomplished by using new approaches. The role of this book is to help jump-start the investigation of such new approaches. Identifying which computational strategy is best suited for investigating a specific aspect of genomics is a daunting task. Using simulated data to evaluate new analytic methods provides a “truth set” against which to assess methods’ predictive properties. In this book, Cooley and colleagues use simulated data to test a variety of analytic methods, starting with single-gene models and progressing to more complex polygene and gene-by-environment scenarios. The methods that Cooley and colleagues use are straightforward, easily applied, and thoroughly documented.

Methods in Statistical Genomics: In the Context of Genome Wide Association Studies 1st Table of contents:

chapter 1 Introduction to statistical genomics
chapter 2 Genetic variation and genomic datasets
chapter 3 Design of genome-wide association studies
chapter 4 Data cleaning and quality control
chapter 5 Single-locus association testing
chapter 6 Multiple testing correction
chapter 7 Population stratification and confounding
chapter 8 Haplotype and multilocus analysis
chapter 9 Interpretation, validation, and replication

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Tags: Methods, Statistical Genomics, the Context, Genome, Wide Association Studies, Philip Chester Cooley