Table 1.

Interaction term estimates and standard errors for each pair of covariates are compared

Contrast	Estimate	SE	t-ratio	P-value
Interactions among observed genes
Classes I– II	−2.17	0.43	−5.01	<0.001
Class I–Non-OR	−0.19	0.54	−0.36	0.99
Class II–Non-OR	1.98	0.36	5.45	<0.001
Interactions among simulations
Purifyingω = 0.01 to Purifyingω = 0.1	−1.51	0.16	−9.40	<0.001
Purifyingω = 0.01 to Diversifyingω = 2.5	16.22	0.15	107.45	<0.001
Purifyingω = 0.1 to Diversifyingω = 2.5	14.72	0.18	81.27	<0.001
Interactions between observed genes and simulated scenarios
Class I—Purifyingω = 0.01	−0.66	0.42	−1.56	0.63
Class I—Purifyingω = 0.1	−2.17	0.43	−4.97	<0.001
Class I—Diversifyingω = 2.5	−16.89	0.43	−39.03	< 0.001
Class II—Purifyingω = 0.01	1.51	0.15	9.79	<0.001
Class II—Purifyingω = 0.1	0.01	0.18	0.03	1
Class II—Diversifyingω = 2.5	−14.71	0.18	−83.58	<0.001
Non-OR—Purifyingω = 0.01	−0.47	0.35	−1.33	0.77
Non-OR—Purifyingω = 0.1	−1.98	0.37	−5.40	<0.001
Non-OR—Diversifyingω = 2.5	16.70	0.36	46.85	<0.001

P-values were corrected for multiple comparisons. Purifying_{ω = 0.01} refers to strong purifying selection, purifying_ω = 0.1 is weak purifying selection, and diversifying_ω = 2.5 is diversifying or positive selection.