A Statistical Variance Components Framework for Mapping Imprinted Quantitative Trait Locus in Experimental Crosses

Table 5

The MLEs and REMLs of the QTL position and effect parameters estimated based on 100 simulation replicates for data simulated with two QTL under the 20×20 design. The square roots of the mean squared errors are given in parentheses.

	𝑄1				𝑄2
Estimation	Position	𝜎^2𝑚	𝜎^2𝑓	𝜎^2𝑚𝑓	Position	𝜎^2𝑚	𝜎^2𝑓	𝜎^2𝑚𝑓
method	28 cm			0.25	68 cm			0.25
		0.75	0.75			0.75	0.75
ML	31.06	0.960	0.819	0.381	64.560	0.806	0.891	0.414
	(12.825)	(0.760)	(0.693)	(0.533)	(12.126)	(0.552)	(0.679)	(0.646)
REML	32.32	0.949	0.924	0.440	64.60	0.943	1.002	0.461
	(13.951)	(0.739)	(0.686)	(0.678)	(12.169)	(0.713)	(0.711)	(0.601)
		1.5	0			0.75	0.75
ML	29.52	1.568	0.210	0.601	63.86	1.210	0.532	0.533
	(12.153)	(0.872)	(0.382)	(0.836)	(11.913)	(0.932)	(0.572)	(0.847)
REML	31.22	1.668	0.282	0.433	64.16	1.355	0.665	0.529
	(12.557)	(0.881)	(0.457)	(0.598)	(13.030)	(1.128)	(0.554)	(0.650)

𝑄₁ and 𝑄₂ refer to two QTL located at 28 cm and 68 cm.