Genome-Wide Association Studies

Designing a Genome-Wide Association Study: Main Steps and Critical Decisions.- Preparation and Curation of Phenotypic Datasets.- Genotyping Platforms for Genome-Wide Association Studies: Options and Practical Considerations.- Genome-Wide Association Study Statistical Models: A Review.- Interpretation of Manhattan Plots and Other Outputs of Genome-Wide Association Studies.- Preparation and Curation of Multi-Year, Multi-Location, Multi-Trait Datasets.- Development, Preparation, and Curation of High-Throughput Phenotypic Data for Genome-Wide Association Studies: A Sample Pipeline in R.- Preparation and Curation of Omics Data for Genome-Wide Association Studies.- Producing High-Quality Single Nucleotide Polymorphism Data for Genome-Wide Association Studies.- A Practical Guide to Using Structural Variants for Genome-Wide Association Studies.- Data Integration, Imputation, and Meta-Analysis for Genome-Wide Association Studies.- Population Structure and Relatedness for Genome-Wide AssociationStudies.- Performing Genome-Wide Association Studies with Multiple Models Using GAPIT.- Performing Genome-Wide Association Studies Using rMVP.- Identification and Validation of Candidate Genes from Genome-Wide Association Studies.- Biparental Crossing and QTL Mapping for Genome-Wide Association Studies Validation.- Development of Breeder Friendly KASP Markers from Genome-Wide Association Studies Results.- Mapping Major Disease Resistance Genes in Soybean by Genome-Wide Association Studies.- GWAS Case Studies in Wheat.- Plant Microbiome-Based Genome-Wide Association Studies.