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. 2017 Jan 12;7:38600. doi: 10.1038/srep38600

Table 4. Monte-Carlo simulation study of multi-loci additive model.

Chr_SNP_Alleles Effect Parameter Estimate SE Power (%)
1_rs629301_T/G a 4.94 5.81 0.57 99
1_rs2499595_G/A a 1.86 1.89 0.49 57
2_rs478442_A/C a 5.73 3.81 0.52 79
3_rs7624679_C/T a 1.47 2.46+ 0.42 11
5_rs17409624_G/A a 2.14 2.20 0.49 91
8_rs10503377_C/T a 3.16 3.33 0.43 58
11_rs10768634_T/C a −1.15 2.93+ 0.42 86
15_rs12595211_G/A a −2.52 −3.09 0.50 45
16_rs1532625_G/A a −2.85 −3.25 0.48 80
16_rs4888652_T/C a 1.91 2.24 0.40 64
17_rs2649485_C/T a −2.58 −2.84 0.39 81
18_rs9946067_T/C a −2.23 −2.75 0.30 6
19_rs1654452_C/T a −2.02 −3.31 0.38 54

Results of Monte-Carlo simulation under scenario-I. Chr_SNP_Alleles: chromosome_QTS_major/minor alleles; Estimate: average estimated effects of genetic parameters; SE: standard errors; Power (%): power of detecting QTSs in percentage; “+” and “−” signs at the right side of the estimated value refers overestimate and underestimates corresponding to the parameters.