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. 2017 Apr 25;12(4):e0175957. doi: 10.1371/journal.pone.0175957

Table 6. The selected consensus artificial SNPs from the simulated data set.

Artificial SNPs ID SNP’s significance in the models
RF with Stepwise RF with Ridge regression RF with LASSO RF with Boruta (P = 0.01) Consensus (3/4)
X1306 ✔(4.15e-05) ✔(0.0003) ✔(1.73e-05)
X92 ✔(0.0004) ✔(0.003) ✔(0.0014) ×
X1112 ✔(0.0017) ✔(0.00204) ✔(0.0013)
X808 ✔(0.0013) × ✔(0.0073) ×
X859 ✔(0.0034) ✔(0.0061) ✔(0.001) ×
X263 ✔(0.0021) ✔(0.0151) ✔(0.0061)
X829 × ✔(0.0065) ✔(0.009) ×
X1203 × ✔(0.0171) ×
X242 × ✔(0.0075) ✔(0.003)
X56 × ✔(0.0135) ✔(0.0071)
X1051 × ✔(0.0122) ✔(0.005) ×
X877 × ✔(0.0151) × ×
X512 × ✔(0.0019) ✔(0.0131) ×
X847 × × ✔(0.01) ×
X760 × × ×

Xm represents an identifier of the genotyped SNP m in the simulated data set. Several of the significant SNPs associated with phenotype were selected across the methods meaning that they are key significant SNPs associated with complex phenotype.

× indicates either the SNP was not identified by the method. ✔ indicates the SNP was identified by the method. Numbers inside the brackets after ✔ indicate p values of the SNPs calculated using Wald test, or partial F-test.