Fig. 2
Classification of dominance QTLs and power to detect QTLs using the AD model. a–c Scatter plots showing QTLs detected by the AD Model at suggestive significant thresholds (one false positive expected per genome scan) in F2 pigs (a), HS rats (b), and HS mice (c). Each dot denotes a QTL, colors of dots represent trait categories, dot sizes represent the significance level (diamond points are those loci with − log10(P) values > 10) and vertical y-axis positions of the dots are their \({\mathrm{log}}_{2}\left|{t}_{Dom}/{t}_{Add}\right|\) values, with background gray shades representing their classification from the bottom up as additive, partial-dominant, complete-dominant, and over-dominant. d–f Bar plots of the counts of additive (blue), partial-dominant (sky blue), dominant (purple), and over-dominant (red) QTLs in each population. Light colors stand for the counts of suggestive significant QTLs and dark colors for whole genome significant QTLs. h–j Distribution of the difference between − log10(P) values of peak SNPs of suggestive significant QTLs detected by AD model compared to A model in each population. The gray and red inset circles show the numbers of QTLs detected by AD but missed by A models