The Current and Future Use of Ridge Regression for Prediction in Quantitative Genetics

Table 6

Predictions of the predictive accuracy of RSR and of the gain in predictive accuracy of RR compared to RSR in large scale samples (e.g., ≥ 100,000) based on a linear model with sample size, number of SNPs, fraction of causal SNPs, and heritability as predictors. 95% confidence intervals (CI) are reported in parentheses, with the middle value indicating the point estimate. 1% of the SNPs are assumed to be causal.

			95% CI	95% CI
100 k	500 k	0.50	(0.139; 0.146; 0.153)	(1.062; 1.070; 1.079)
200 k	500 k	0.50	(0.324; 0.337; 0.349)	(1.094; 1.107; 1.121)
500 k	500 k	0.50	(0.473; 0.478; 0.482)	(1.142; 1.167; 1.193)
500 k	100 k	0.50	(0.486; 0.488; 0.490)	(1.218; 1.244; 1.270)
500 k	200 k	0.50	(0.482; 0.485; 0.488)	(1.193; 1.218; 1.244)
500 k	500 k	0.50	(0.473; 0.478; 0.482)	(1.142; 1.167; 1.193)
500 k	500 k	0.25	(0.205; 0.212; 0.218)	(1.110; 1.135; 1.160)
500 k	500 k	0.50	(0.473; 0.478; 0.482)	(1.142; 1.167; 1.193)
500 k	500 k	0.75	(0.733; 0.736; 0.739)	(1.191; 1.218; 1.245)