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Table 1 Simulation results with MA data using linear model and the target heritability \(h^2 = 0.5\)

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

  100 causal SNPs, \(\sigma _{\varepsilon }^2 = 1\) 5000 causal SNPs, \(\sigma _{\varepsilon }^2 = 1\) 100 causal SNPs from 3 genes, \(\sigma _{\varepsilon }^2 = 1\)
h2aprx 0.5004 (.0245) 0.5085 (.0256) 0.4966 (.0227)
Enet 0.3585 (.0348) 0.3770 (.0500) 0.3546 (.0386)
HERRA 0.5619 (.0507) 0.5583 (.0366) 0.5204 (.0483)
B_herra 0.5551 (.0350) 0.5588 (.0294) 0.5184 (.0371)
GCTA 0.3592 (.0309) 0.3005 (.0270) 0.3338 (.0430)
  1. The mean and the standard deviation (in parentheses) of the estimated heritabilities between the simulation replicates are presented
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