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Table 3 Simulation results with MA data using GCTA model with the true heritability \(h^2 = 0.5\)

From: Boosting heritability: estimating the genetic component of phenotypic variation with multiple sample splitting

  100 causal SNPs 5000 causal SNPs 100 causal SNPs from 3 genes
GCTA 0.3176 (.0268) 0.2890 (.0358) 0.3614 (.0395)
Enet 0.4014 (.0393) 0.4018 (.0538) 0.3965 (.0474)
HERRA 0.5248 (.0342) 0.5142 (.0586) 0.5246 (.0427)
B_herra 0.5217 (.0260) 0.5150 (.0447) 0.5192 (.0339)
Enet (remove 60% covariates) 0.4541 (.0364) 0.4614 (.0371) 0.4408 (.0403)
HERRA (remove 60% covariates) 0.4988 (.0356) 0.4941 (.0469) 0.4966 (.0338)
B_herra (remove 60% covariates) 0.5015 (.0260) 0.4892 (.0426) 0.4965 (.0306)
  1. The mean and the standard deviation (in parentheses) of the estimated heritabilities between the simulation replicates are presented
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