Genome-Wide Association Studies and Genomic Prediction - Gondro, Cedric; van der Werf, Julius; Hayes, Ben.; SpringerLink (Online service) (Totowa, NJ : Humana Press : Imprint: Humana, 2013)
R for Genome-Wide Association Studies -- Descriptive Statistics of Data: Understanding the Data Set and Phenotypes of Interest -- Designing a Genome-Wide Association Studies (GWAS): Power, Sample Size, and Data Structure -- Managing Large SNP Datasets with SNPpy -- Quality Control for Genome-Wide Association Studies -- Overview of Statistical Methods for Genome-Wide Association Studies (GWAS) -- Statistical Analysis of Genomic Data -- Using PLINK for Genome-Wide Association Studies (GWAS) and Data Analysis -- Genome-Wide Complex Trait Analysis (GCTA): Methods, Data Analyses, and Interpretations -- Bayesian Methods Applied to Genome-Wide Association Studies (GWAS) -- Implementing a QTL Detection Study (GWAS) Using Genomic Prediction Methodology -- Genome-Enabled Prediction Using the BLR (Bayesian Linear Regression) R-Package -- Genomic Best Linear Unbiased Prediction (gBLUP) for the Estimation of Genomic Breeding Values -- Detecting Regions of Homozygosity to Map the Cause of Recessively Inherited Disease -- Use of Ancestral Haplotypes in Genome-Wide Association Studies -- Genotype Phasing in Populations of Closely Related Individuals -- Genotype Imputation to Increase Sample Size in Pedigreed Populations -- Validation of Genome-Wide Association Studies (GWAS) Results -- Detection of Signatures of Selection Using FST -- Association Weight Matrix: A Network-Based Approach Towards Functional Genome-Wide Association Studies -- Mixed Effects Structural Equation Models and Phenotypic Causal Networks -- Epistasis, Complexity, and Multifactor Dimensionality Reduction -- Applications of Multifactor Dimensionality Reduction to Genome-Wide Data Using the R Package 'MDR' -- Higher Order Interactions: Detection of Epistasis Using Machine Learning and Evolutionary Computation -- Incorporating Prior Knowledge to Increase the Power of Genome-Wide Association Studies -- Genomic Selection in Animal Breeding Programs.
Keywords: Bioinformatics; Human genetics; Bioinformatics; Human Genetics