Exploiting biological priors and sequence variants enhances QTL discovery and genomic prediction of complex traits

Table 3 Average number of QTL estimated per distribution and per class of the BayesRC Lact model^a, compared with the true number of simulated QTL

CLASS		Number of QTL per Distribution			Total per Class
CLASS		N(0,0.0001\( \sigma \) ² _g)	N(0,0.001\( \sigma \) ² _g)	N(0,0.01\( \sigma \) ² _g)	Total per Class
Class I	TRUE Number	436	63	1	500
	BayesRC Lact	444	36	4	484
Class II	TRUE Number	3049	437	14	3500
	BayesRC Lact	2512	346	16	2874
Class III	TRUE Number	0	0	0	0
	BayesRC Lact	219	11	1	231
Total per distribution	TRUE Number	3485	500	15
	BayesRC Lact	3175	393	21

^a Results are for Trait 1 (AUS-Sim data) where QTL were simulated in Lact gene regions only

ISSN: 1471-2164