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Table 2 Summary of estimates for the model for association status given the functional annotation data

From: Functional annotation signatures of disease susceptibility loci improve SNP association analysis

Coefficient Mean SD Mean/SD Coefficient Mean SD Mean/SD
MAF1 0.029 0.0272 1.051 CalPC8 0.096 0.0608 1.584
MAF2 0.003 0.0185 0.151 CalPC9 0.009 0.0218 0.406
MAF3 0.018 0.0236 0.759 CalPC10 -0.019 0.0234 -0.809
MAF4 -0.008 0.0199 -0.425 CalPC11 -0.044 0.0468 -0.943
BrPC1 -0.348 0.0388 -8.983 PhyPC1 0.225 0.0452 4.982
BrPC2 0.174 0.0360 4.845 PhyPC2 -0.023 0.0308 -0.742
BrPC3 0.002 0.0172 0.099 PhyPC3 0.053 0.0395 1.336
BrPC4 -0.077 0.0301 -2.561 PhyPC4 0.024 0.0289 0.839
BrPC5 0.149 0.0301 4.932 funcIntron -0.003 0.0199 -0.160
BrPC6 0.097 0.0329 2.961 funcNg3 0.002 0.0238 0.098
BrPC7 -0.019 0.0229 -0.825 funcNg5 0.003 0.0200 0.158
BrPC8 -0.078 0.0312 -2.498 funcNonsynon 0.089 0.0387 2.308
BrPC9 -0.012 0.0202 -0.573 funcSynon -0.007 0.0236 -0.283
BrPC10 0.007 0.0182 0.407 funcUTR 0.002 0.0210 0.078
BrPC11 0.021 0.0239 0.887 logDNase 0.011 0.0253 0.419
BrPC12 -0.039 0.0290 -1.343 TFBSfreq 0.024 0.0267 0.885
BrPC13 -0.094 0.0318 -2.972 logTFBS 0.019 0.0299 0.641
BrPC14 -0.000 0.0175 -0.015 ORegInd 0.027 0.0236 1.163
BrPC15 -0.039 0.0286 -1.354 IndelInd -0.023 0.0337 -0.693
BrPC16 0.009 0.0185 0.467 CNVInd 0.059 0.0321 1.842
BrPC17 -0.015 0.0213 -0.696 InvInd 0.090 0.0305 2.938
BrPC18 -0.014 0.0210 -0.688 rDBcat1 0.014 0.0257 0.550
CalPC1 -0.103 0.0492 -2.084 rDBcat2 0.066 0.0378 1.741
CalPC2 0.090 0.0441 2.030 rDBcat3 0.012 0.0264 0.467
CalPC3 -0.019 0.0270 -0.709 rDBcat4 0.116 0.0461 2.508
CalPC4 0.086 0.0457 1.889 rDBcat5 0.106 0.0527 2.003
CalPC5 0.053 0.0395 1.350 rDBcat6 -0.056 0.0552 -1.018
CalPC6 -0.012 0.0233 -0.496 pph2prob 0.078 0.0269 2.905
CalPC7 0.002 0.0207 0.078     
  1. Estimates of the posterior mean and standard deviation are provided for each coefficient in the model along with the ratio of these quantities, a ‘signal–to–noise’ measure analogous to the Z statistic.