TABLE 1.

The mean MLEs with their square-root mean square errors (SMSEs) (in parentheses) of the parameters estimated from 1000 simulation replicates with different dispersion patterns

n	τ = 48 cM	φ = −0.03	μ = 2	a = 0.2	Power
Underdispersion
100	47.27 (14.19)	−0.0317 (0.0065)	1.9966 (0.0425)	0.2055 (0.0589)	85
	47.32 (15.16)	—	2.0037 (0.0412)	0.1918 (0.0517)	81.3
200	47.34 (8.29)	−0.0308 (0.0045)	1.9978 (0.0289)	0.2028 (0.0396)	99
	47.25 (8.58)	—	2.0077 (0.0288)	0.1851 (0.0399)	94
400	47.69 (5.145)	−0.0302 (0.003)	1.9996 (0.0208)	0.2004 (0.0279)	100
	46.59 (6.661)	—	2.0089 (0.0218)	0.1832 (0.0306)	99.9
n	τ = 48 cM	φ = 0	μ = 2	a = 0.3	Power
No dispersion
100	47.18 (13.323)	−0.0021 (0.0085)	1.9963 (0.0545)	0.3046 (0.0743)	93.2
	47.19 (13.389)	—	1.9970 (0.0543)	0.3033 (0.0739)	93.5
200	47.24 (6.893)	−0.0009 (0.0059)	1.9972 (0.0377)	0.3025 (0.0515)	100
	47.23 (6.885)	—	1.9976 (0.0375)	0.3018 (0.0510)	99.9
400	47.86 (4.116)	−0.0003 (0.0040)	1.9995 (0.0272)	0.3002 (0.0362)	100
	47.85 (4.117)	—	1.9995 (0.0271)	0.3001 (0.0360)	100
n	τ = 48 cM	φ = 0.015	μ = 1.6	a = 0.3	Power
Overdispersion
100	47.19 (15.754)	0.0113 (0.0138)	1.5912 (0.0740)	0.3125 (0.1042)	74.5
	47.34 (17.327)	—	1.5866 (0.0756)	0.3207 (0.1078)	71.2
200	47.43 (10.596)	0.0134 (0.0096)	1.5943 (0.0496)	0.3068 (0.0682)	95.3
	47.44 (10.874)	—	1.5885 (0.0512)	0.3171 (0.0714)	93.5
400	47.56 (6.405)	0.0145 (0.0065)	1.5988 (0.0358)	0.3014 (0.0483)	100
	47.66 (6.518)	—	1.5925 (0.0369)	0.3125 (0.0507)	99.9

Data are simulated using the GPR model. Power is calculated as the percentage of all simulations in which the significant QTL is detected. The first and second rows for a given sample size correspond to the results analyzed using the GPR and the PR approaches, respectively.