TABLE 4.

Results of two multiple imputation QTL models (ANOVA).

QTL	cM	LOD	% Variance	F-value	p-value (F)
X	1.23	203.34	61.96	1751.36	2.00E-16
2R-A	1.63	2.47	0.40	11.36	7.85E-04
2R-B	20.87	2.89	0.47	13.30	2.82E-04
2L	134.26	1.49	0.24	6.85	9.04E-03
3L-A	53.95	1.66	0.27	7.62	5.90E-03
3L-B	67.46	2.46	0.40	11.30	8.12E-04
Model	y ∼ X + 2R-A + 2R-B + 2L + 3L-A + 3L-B
LOD	221.25
% Variance	71.66
X	1.23	207.86	62.68	907.89	2.00E-16
2R-A	1.63	2.73	0.43	12.52	4.25E-04
2R-B	20.87	3.02	0.48	13.87	2.10E-04
2L	134.26	6.02	0.96	13.96	1.10E-06
3L-A	53.95	1.62	0.26	7.40	6.66E-03
3L-B	67.46	2.15	0.34	9.87	1.74E-03
X × 2L epistatic		4.53	0.72	20.90	5.60E-06
Model	y ∼ X + 2R-A + 2R-B + 2L + 3L-A + 3L-B + X:2L
LOD	225.78
% Variance	72.39

The top model includes only additive effects of each QTL. The bottom model includes all additive effects and also an epistatic effect between the X chromosome and the 2L QTL.