The intolerance to functional genetic variation of protein domains predicts the localization of pathogenic mutations within genes

Table 1 AIC comparisons of different sets of predictors

Predictor subset 1 (AIC)	Predictor subset 2 (AIC)	Minimal AIC	P
Base (20390.414)	subRVIS (20373.159)	subRVIS	0.0002
Base (20390.414)	subGERP (20370.726)	subGERP	5.3 × 10^–5
subGERP (20370.726)	subRVIS (20373.159)	subGERP	0.296
subGERP (20370.726)	subRVIS + subGERP (20359.652)	subRVIS + subGERP	0.004
subRVIS (20373.159)	subRVIS + subGERP (20359.652)	subRVIS + subGERP	0.001

This table contains the AIC comparisons between different sets of predictors. All models contain the mutation rate as a covariate (Methods). Entries labeled ‘base’ indicate models using only the mutation rate and no other predictors. P is the probability that the model with the larger AIC minimizes the information loss from the model with the lower AIC