Table 3.

Predictor importance for the best-fit logistic regression model predicting ASE from genomic features, selected using AIC (AIC = 3,086.9)

Model parameter	Coeff. (SE)	z value	P value	OR
gbM	−0.67 (0.20)	−3.41	<10−3	0.51
πN/πS	0.08 (0.04)	2.25	0.024	1.09
Expression level	0.20 (0.06)	3.31	<0.001	1.22
Promoter polymorphism	0.21 (0.05)	4.45	<10−3	1.23
Tissue specificity	0.30 (0.06)	5.03	<10−3	1.35
TE within 1 kb	0.32 (0.13)	2.50	0.013	1.38
Coexpression module size	−0.08 (0.05)	−1.59	NS	0.92
Gene length	0.08 (0.06)	1.49	NS	1.09
Intercept	−2.60 (0.06)	−42.91	<10−3	0.07

Regression coefficients (Coeff.) and their SE, z statistics and associated P values, and odds ratios (OR) are shown.