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. Author manuscript; available in PMC: 2014 Sep 23.
Published in final edited form as: Stat Interface. 2013 Jan 1;6(1):99–115. doi: 10.4310/SII.2013.v6.n1.a10

Table 6.

List of SNPs selected by the SMCP and the LASSO method for a simulated data set with binary trait. The analysis is based on marginal least-square loss. Recall that the 31 disease-associated SNPs are 2287–2298 and 2300–2318

SNP SMCP
MCP
LASSO
Regression
|β̂| p-value* |β̂| p-value* |β̂| p-value* |β̂| p-value**
366 −0.002 1.000 −0.002 1.000 −0.071 0.004
368 −0.002 1.000 −0.012 1.000 −0.010 1.000 −0.075 0.002
506 −0.005 1.000 −0.025 1.000 −0.021 1.000 −0.081 0.001
656 0.002 1.000 0.015 1.000 0.012 1.000 0.077 0.002
932 3.4E-04 1.000 2.9E-04 1.000 0.071 0.005
948 0.001 1.000 0.005 1.000 0.004 1.000 0.073 0.004
1047 0.002 1.000 0.002 1.000 0.071 0.004
1476 0.000 1.000 −0.001 1.000 −0.001 1.000 −0.071 0.005
1477 0.001 1.000 0.006 1.000 0.005 1.000 0.073 0.003
1478 −0.001 1.000 −0.003 1.000 −0.002 1.000 −0.072 0.004
1678 −0.002 1.000 −0.009 1.000 −0.007 1.000 −0.074 0.003
1978 −0.013 0.240 −0.049 0.230 −0.041 0.230 −0.091 2.6E-04
1980 −0.001 1.000 −0.007 1.000 −0.006 1.000 −0.073 0.003
1990 0.008 1.000 0.018 1.000 0.015 1.000 0.078 0.002
2048 0.003 1.000 0.009 1.000 0.008 1.000 0.074 0.003
2284 −0.009 1.000 −0.028 1.000 −0.023 1.000 −0.082 0.001
2285 0.005 1.000 0.060 0.016
2286 −0.076 0.006 −0.102 0.006 −0.085 0.006 −0.113 4.9E-06
2287 0.049 0.250 0.043 0.442 0.036 0.442 0.088 3.9E-04
2288 0.051 0.222 0.047 0.282 0.039 0.282 0.090 2.9E-04
2289 −0.060 0.206 −0.044 0.328 −0.037 0.328 −0.089 3.6E-04
2290 0.093 0.001 0.177 0.001 0.147 0.001 0.144 4.2E-09
2291 −0.003 1.000 −0.054 0.031
2293 0.051 0.028 0.109 0.028 0.091 0.028 0.116 2.8E-06
2294 0.049 0.153 0.069 0.259 0.058 0.259 0.099 6.2E-05
2295 −0.028 0.187 −0.042 0.500 −0.035 0.500 −0.088 3.9E-04
2296 0.007 1.000 0.061 0.014
2300 0.122 0.009 0.138 0.009 0.115 0.009 0.128 2.1E-07
2301 −0.148 4.2E-05 −0.240 4.2E-05 −0.200 4.2E-05 −0.170 2.4E-12
2302 0.126 0.003 0.158 0.003 0.131 0.003 0.136 3.0E-08
2303 −0.040 0.707 −0.048 0.053
2304 −0.090 0.001 −0.207 0.001 −0.172 0.001 −0.157 1.4E-10
2305 −0.060 0.027 −0.113 0.027 −0.095 0.027 −0.118 1.9E-06
2306 0.007 1.000 0.020 0.421
2307 −0.001 1.000 −0.001 1.000 −0.001 1.000 −0.071 0.005
2309 0.030 0.081 0.076 0.081 0.064 0.081 0.102 3.7E-05
2310 −0.024 0.313 −0.035 0.689 −0.029 0.689 −0.085 0.001
2316 −0.010 0.299 −0.050 0.214 −0.041 0.214 −0.091 2.4E-04
2329 0.001 1.000 0.001 1.000 0.071 0.005
2337 −0.022 0.238 −0.063 0.238 −0.052 0.238 −0.097 9.8E-05
2360 −0.005 1.000 −0.014 1.000 −0.012 1.000 −0.076 0.002
2362 −0.002 1.000 −0.007 1.000 −0.006 1.000 −0.073 0.003
2461 0.002 1.000 0.011 1.000 0.010 1.000 0.075 0.003
2550 0.003 1.000 0.068 0.007
2551 0.031 0.172 0.055 0.172 0.046 0.172 0.093 1.7E-04
2552 −0.022 0.639 −0.034 1.000 −0.028 1.000 −0.085 0.001
2553 0.018 0.768 0.037 0.902 0.031 0.902 0.086 0.001
2912 0.003 1.000 0.008 1.000 0.007 1.000 0.074 0.003
3140 0.004 1.000 0.016 1.000 0.014 1.000 0.077 0.002
3329 0.016 1.000 0.029 1.000 0.024 1.000 0.083 0.001
3388 0.003 1.000 0.012 1.000 0.010 1.000 0.075 0.002
3620 0.002 1.000 0.013 1.000 0.011 1.000 0.076 0.002
4018 0.011 0.124 0.057 0.124 0.047 0.124 0.094 1.5E-04
4078 0.004 1.000 0.015 1.000 0.013 1.000 0.077 0.002
4745 −0.002 1.000 −0.001 1.000 −0.071 0.004
4877 0.002 1.000 0.002 1.000 0.071 0.004
*

Computed using the multi-split method.

**

Single SNP analysis, not corrected for multiple testing.

***

Empty cells stand for SNPs that are not identified from the model.