Efficient approaches for large-scale GWAS with genotype uncertainty.

Abstract excerpt

Association studies using genetic data from SNP-chip-based imputation or low-depth sequencing data provide a cost-efficient design for large-scale association studies. We explore methods for performing association studies applicable to such genetic data and investigate how using different priors when estimating genotype probabilities affects the association results. Our proposed method, ANGSD-asso's latent model,...

Topics

• Gene Frequency
• Genome-Wide Association Study
• Genotype
• Polymorphism, Single Nucleotide
• Uncertainty