Figure 1

Manhattan plots of the results of a single-marker (left) and V-Bay analysis (right) of a simulated GWA data set. Data were simulated with a sample size of 200, one million markers, 8 loci with phenotype associations, and a total phenotype heritability of 0.9. The locations of the loci with phenotype associations are represented by the black squares. Each dot reflects the -log₁₀ p-value resulting from single-marker analysis (left) and the -log₁₀ p-vbay output of V-Bay (right), where non-significant associations are represented as blue dots. The markers above the red line for the single-marker analysis are significant when using a Bonferroni correction. The markers in red for the V-Bay analysis (connected by a black line) are significant using a conservative control of the false positive rate equal to a Bonferroni correction. In this case, the single-marker analysis correctly identifies two of the true associations, while V-Bay identifies 7 of the 8 true associations. This result was typical for our simulation analyses.