Table 3.
Association between COMT SNPs and Experimental Pain
| Heat Pain Intensity, 48°C | Cold Pain Intensity, NRS at 15 s | Cold Withdrawal Time | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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| SNP | Naive P Value | β | Perm P Value | SNP Cor P Value | Cor P Value | Naive P Value | β | Perm P Value | SNP Cor P Value | Cor P Value | Naive P Value | β | Perm P Value | SNP Cor P Value | Cor P Value |
| Dominant model | |||||||||||||||
| rs6518591 | 0.835 | 0.035 | 0.842 | 1.000 | 1.000 | 0.834 | 0.043 | 0.836 | 1.000 | 1.000 | 0.399 | −1.788 | 0.402 | 0.998 | 1.000 |
| rs737866 | 0.059 | −0.300 | 0.055 | 0.554 | 1.000 | 0.378 | −0.174 | 0.373 | 0.997 | 1.000 | 0.055 | 3.890 | 0.060 | 0.504 | 1.000 |
| rs737865 | 0.056 | −0.303 | 0.054 | 0.534 | 1.000 | 0.308 | −0.201 | 0.300 | 0.989 | 1.000 | 0.046 | 4.038 | 0.051 | 0.450 | 1.000 |
| rs1544325 | 0.634 | 0.084 | 0.637 | 1.000 | 1.000 | 0.031 | 0.473 | 0.035 | 0.352 | 1.000 | 0.007 | −6.106 | 0.007 | 0.095 | 1.000 |
| rs8185002 | 0.047 | −0.315 | 0.044 | 0.474 | 1.000 | 0.402 | −0.165 | 0.396 | 0.998 | 1.000 | 0.061 | 3.796 | 0.068 | 0.543 | 1.000 |
| rs174675 | 0.410 | 0.126 | 0.418 | 0.998 | 1.000 | 0.479 | 0.135 | 0.471 | 1.000 | 1.000 | 0.309 | −1.987 | 0.310 | 0.988 | 1.000 |
| rs5993882 | 0.339 | 0.153 | 0.345 | 0.992 | 1.000 | 0.344 | 0.188 | 0.339 | 0.995 | 1.000 | 0.088 | −3.478 | 0.097 | 0.674 | 1.000 |
| rs740603 | 0.330 | −0.155 | 0.335 | 0.990 | 1.000 | 0.440 | 0.153 | 0.438 | 0.999 | 1.000 | 0.989 | 0.029 | 0.986 | 1.000 | 1.000 |
| rs4646312 | 0.772 | 0.044 | 0.783 | 1.000 | 1.000 | 0.142 | 0.279 | 0.138 | 0.836 | 1.000 | 0.982 | 0.044 | 0.982 | 1.000 | 1.000 |
| rs4633 | 0.290 | 0.179 | 0.287 | 0.980 | 1.000 | 0.393 | 0.179 | 0.397 | 0.998 | 1.000 | 0.457 | 1.597 | 0.461 | 0.999 | 1.000 |
| rs2239393 | 0.454 | −0.127 | 0.462 | 0.998 | 1.000 | 0.135 | 0.317 | 0.136 | 0.819 | 1.000 | 0.744 | 0.730 | 0.742 | 1.000 | 1.000 |
| rs4818 | 0.733 | 0.052 | 0.747 | 1.000 | 1.000 | 0.126 | 0.290 | 0.123 | 0.796 | 1.000 | 0.972 | 0.070 | 0.971 | 1.000 | 1.000 |
| rs4680 | 0.230 | 0.203 | 0.234 | 0.952 | 1.000 | 0.341 | 0.198 | 0.341 | 0.994 | 1.000 | 0.447 | 1.627 | 0.446 | 0.999 | 1.000 |
| rs4646316 | 0.597 | 0.084 | 0.607 | 1.000 | 1.000 | 0.222 | 0.243 | 0.223 | 0.950 | 1.000 | 0.496 | −1.394 | 0.502 | 1.000 | 1.000 |
| rs165774 | 0.003 | −0.464 | 0.003 | 0.040 | 1.000 | 0.170 | −0.262 | 0.167 | 0.886 | 1.000 | 0.139 | 2.909 | 0.134 | 0.824 | 1.000 |
| rs174696 | 0.234 | 0.184 | 0.222 | 0.954 | 1.000 | 0.752 | −0.061 | 0.755 | 1.000 | 1.000 | 0.688 | 0.797 | 0.667 | 1.000 | 1.000 |
| rs9306235 | 0.442 | 0.182 | 0.450 | 0.998 | 1.000 | 0.026 | 0.656 | 0.027 | 0.306 | 1.000 | 0.240 | −3.567 | 0.241 | 0.962 | 1.000 |
| rs9332377 | 0.932 | −0.015 | 0.932 | 1.000 | 1.000 | 0.398 | 0.187 | 0.399 | 0.998 | 1.000 | 0.475 | −1.625 | 0.470 | 1.000 | 1.000 |
| rs165599 | 0.780 | 0.043 | 0.775 | 1.000 | 1.000 | 0.738 | −0.064 | 0.738 | 1.000 | 1.000 | 0.304 | 2.028 | 0.296 | 0.987 | 1.000 |
| rs887199 | 0.191 | 0.208 | 0.192 | 0.920 | 1.000 | 0.783 | −0.054 | 0.783 | 1.000 | 1.000 | 0.342 | 1.921 | 0.346 | 0.993 | 1.000 |
| rs2518824 | 0.203 | 0.368 | 0.205 | 0.930 | 1.000 | 0.670 | −0.155 | 0.674 | 1.000 | 1.000 | 0.936 | −0.300 | 0.937 | 1.000 | 1.000 |
| rs887200 | 0.151 | 0.239 | 0.156 | 0.866 | 1.000 | 0.994 | 0.002 | 0.992 | 1.000 | 1.000 | 0.303 | 2.181 | 0.298 | 0.987 | 1.000 |
| Additive model | |||||||||||||||
| rs6518591 | 0.815 | 0.033 | 0.818 | 1.000 | 1.000 | 0.751 | −0.056 | 0.747 | 1.000 | 1.000 | 0.800 | −0.463 | 0.801 | 1.000 | 1.000 |
| rs737866 | 0.092 | −0.228 | 0.090 | 0.650 | 1.000 | 0.372 | −0.150 | 0.369 | 0.992 | 1.000 | 0.044 | 3.462 | 0.043 | 0.724 | 1.000 |
| rs737865 | 0.088 | −0.230 | 0.086 | 0.638 | 1.000 | 0.316 | −0.168 | 0.313 | 0.981 | 1.000 | 0.039 | 3.563 | 0.037 | 0.692 | 1.000 |
| rs1544325 | 0.547 | 0.067 | 0.543 | 1.000 | 1.000 | 0.554 | 0.082 | 0.550 | 1.000 | 1.000 | 0.138 | −2.107 | 0.135 | 0.657 | 1.000 |
| rs8185002 | 0.071 | −0.246 | 0.069 | 0.558 | 1.000 | 0.447 | −0.129 | 0.443 | 0.998 | 1.000 | 0.058 | 3.302 | 0.057 | 0.779 | 1.000 |
| rs174675 | 0.351 | 0.109 | 0.353 | 0.989 | 1.000 | 0.970 | −0.005 | 0.972 | 1.000 | 1.000 | 0.955 | −0.085 | 0.954 | 1.000 | 1.000 |
| rs5993882 | 0.421 | 0.108 | 0.422 | 0.998 | 1.000 | 0.827 | 0.037 | 0.821 | 1.000 | 1.000 | 0.308 | −1.772 | 0.305 | 1.000 | 1.000 |
| rs740603 | 0.288 | −0.119 | 0.284 | 0.971 | 1.000 | 0.736 | 0.047 | 0.732 | 1.000 | 1.000 | 0.917 | 0.151 | 0.916 | 1.000 | 1.000 |
| rs4646312 | 0.561 | 0.068 | 0.549 | 1.000 | 1.000 | 0.036 | 0.307 | 0.040 | 0.352 | 1.000 | 0.297 | −1.571 | 0.293 | 0.523 | 1.000 |
| rs4633 | 0.300 | 0.114 | 0.308 | 0.977 | 1.000 | 0.156 | 0.193 | 0.154 | 0.830 | 1.000 | 0.943 | −0.099 | 0.941 | 0.997 | 1.000 |
| rs2239393 | 0.813 | −0.030 | 0.811 | 1.000 | 1.000 | 0.026 | 0.354 | 0.029 | 0.271 | 1.000 | 0.305 | −1.716 | 0.305 | 0.442 | 1.000 |
| rs4818 | 0.542 | 0.072 | 0.532 | 1.000 | 1.000 | 0.033 | 0.312 | 0.037 | 0.327 | 1.000 | 0.305 | −1.545 | 0.302 | 0.525 | 1.000 |
| rs4680 | 0.257 | 0.125 | 0.263 | 0.954 | 1.000 | 0.127 | 0.207 | 0.125 | 0.762 | 1.000 | 0.981 | −0.033 | 0.980 | 0.997 | 1.000 |
| rs4646316 | 0.549 | 0.079 | 0.543 | 1.000 | 1.000 | 0.078 | 0.288 | 0.078 | 0.582 | 1.000 | 0.156 | −2.380 | 0.157 | 0.382 | 1.000 |
| rs165774 | 0.015 | −0.312 | 0.013 | 0.176 | 1.000 | 0.117 | −0.251 | 0.120 | 0.734 | 1.000 | 0.185 | 2.178 | 0.184 | 0.734 | 1.000 |
| rs174696 | 0.057 | 0.213 | 0.058 | 0.486 | 1.000 | 0.976 | −0.004 | 0.975 | 1.000 | 1.000 | 0.927 | 0.131 | 0.926 | 1.000 | 1.000 |
| rs9306235 | 0.441 | 0.173 | 0.446 | 0.998 | 1.000 | 0.034 | 0.609 | 0.035 | 0.335 | 1.000 | 0.228 | −3.553 | 0.227 | 0.160 | 1.000 |
| rs9332377 | 0.977 | 0.005 | 0.975 | 1.000 | 1.000 | 0.370 | 0.184 | 0.370 | 0.992 | 1.000 | 0.358 | −1.933 | 0.363 | 0.997 | 1.000 |
| rs165599 | 0.345 | 0.111 | 0.353 | 0.988 | 1.000 | 0.780 | 0.041 | 0.776 | 1.000 | 1.000 | 0.614 | 0.760 | 0.614 | 0.994 | 1.000 |
| rs887199 | 0.414 | 0.109 | 0.422 | 0.997 | 1.000 | 0.590 | −0.089 | 0.585 | 1.000 | 1.000 | 0.163 | 2.372 | 0.163 | 0.762 | 1.000 |
| rs2518824 | 0.203 | 0.368 | 0.213 | 0.906 | 1.000 | 0.670 | −0.155 | 0.667 | 1.000 | 1.000 | 0.936 | −0.300 | 0.937 | 0.996 | 1.000 |
| rs887200 | 0.410 | 0.120 | 0.419 | 0.996 | 1.000 | 0.376 | −0.159 | 0.372 | 0.993 | 1.000 | 0.094 | 3.094 | 0.092 | 0.513 | 1.000 |
| Recessive model | |||||||||||||||
| rs6518591 | 0.867 | 0.070 | 0.872 | 1.000 | 1.000 | 0.124 | −0.848 | 0.124 | 0.828 | 1.000 | 0.141 | 8.320 | 0.137 | 0.872 | 1.000 |
| rs737866 | 0.824 | −0.090 | 0.830 | 1.000 | 1.000 | 0.678 | −0.202 | 0.675 | 1.000 | 1.000 | 0.274 | 5.457 | 0.266 | 0.986 | 1.000 |
| rs737865 | 0.835 | −0.080 | 0.839 | 1.000 | 1.000 | 0.695 | −0.191 | 0.694 | 1.000 | 1.000 | 0.280 | 5.398 | 0.269 | 0.988 | 1.000 |
| rs1544325 | 0.618 | 0.090 | 0.609 | 1.000 | 1.000 | 0.211 | −0.284 | 0.212 | 0.960 | 1.000 | 0.723 | 0.827 | 0.721 | 1.000 | 1.000 |
| rs8185002 | 0.772 | −0.120 | 0.787 | 1.000 | 1.000 | 0.907 | −0.059 | 0.909 | 1.000 | 1.000 | 0.397 | 4.414 | 0.395 | 0.999 | 1.000 |
| rs174675 | 0.502 | 0.180 | 0.496 | 1.000 | 1.000 | 0.194 | −0.425 | 0.199 | 0.946 | 1.000 | 0.104 | 5.446 | 0.103 | 0.777 | 1.000 |
| rs5993882 | 0.997 | 0.000 | 0.996 | 1.000 | 1.000 | 0.087 | −0.843 | 0.090 | 0.714 | 1.000 | 0.212 | 6.313 | 0.214 | 0.960 | 1.000 |
| rs740603 | 0.470 | −0.150 | 0.460 | 1.000 | 1.000 | 0.688 | −0.108 | 0.698 | 1.000 | 1.000 | 0.856 | 0.502 | 0.852 | 1.000 | 1.000 |
| rs4646312 | 0.424 | 0.210 | 0.434 | 0.999 | 1.000 | 0.030 | 0.716 | 0.028 | 0.355 | 1.000 | 0.017 | −8.114 | 0.018 | 0.203 | 1.000 |
| rs4633 | 0.547 | 0.110 | 0.556 | 1.000 | 1.000 | 0.135 | 0.354 | 0.133 | 0.854 | 1.000 | 0.335 | −2.345 | 0.333 | 0.996 | 1.000 |
| rs2239393 | 0.500 | 0.180 | 0.503 | 1.000 | 1.000 | 0.018 | 0.802 | 0.018 | 0.230 | 1.000 | 0.007 | −9.693 | 0.006 | 0.082 | 1.000 |
| rs4818 | 0.438 | 0.200 | 0.447 | 0.999 | 1.000 | 0.032 | 0.709 | 0.029 | 0.369 | 1.000 | 0.017 | −8.068 | 0.019 | 0.209 | 1.000 |
| rs4680 | 0.543 | 0.120 | 0.548 | 1.000 | 1.000 | 0.115 | 0.373 | 0.113 | 0.803 | 1.000 | 0.364 | −2.213 | 0.360 | 0.998 | 1.000 |
| rs4646316 | 0.657 | 0.160 | 0.657 | 1.000 | 1.000 | 0.040 | 0.903 | 0.046 | 0.446 | 1.000 | 0.021 | −10.470 | 0.020 | 0.240 | 1.000 |
| rs165774 | 0.816 | 0.080 | 0.811 | 1.000 | 1.000 | 0.254 | −0.491 | 0.256 | 0.980 | 1.000 | 0.808 | 1.075 | 0.808 | 1.000 | 1.000 |
| rs174696 | 0.034 | 0.480 | 0.036 | 0.380 | 1.000 | 0.689 | 0.113 | 0.691 | 1.000 | 1.000 | 0.688 | −1.162 | 0.689 | 1.000 | 1.000 |
| rs9306235 | 0.832 | 0.250 | 0.826 | 1.000 | 1.000 | 0.809 | −0.482 | 0.810 | 1.000 | 1.000 | 0.654 | −9.193 | 0.686 | 1.000 | 1.000 |
| rs9332377 | 0.663 | 0.290 | 0.661 | 1.000 | 1.000 | 0.628 | 0.414 | 0.632 | 1.000 | 1.000 | 0.280 | −9.484 | 0.285 | 0.988 | 1.000 |
| rs165599 | 0.112 | 0.410 | 0.110 | 0.789 | 1.000 | 0.245 | 0.370 | 0.236 | 0.977 | 1.000 | 0.541 | −2.003 | 0.552 | 1.000 | 1.000 |
| rs887199 | 0.421 | −0.310 | 0.421 | 0.999 | 1.000 | 0.386 | −0.406 | 0.396 | 0.999 | 1.000 | 0.093 | 8.049 | 0.093 | 0.734 | 1.000 |
| rs2518824 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| rs887200 | 0.170 | −0.640 | 0.171 | 0.912 | 1.000 | 0.004 | −1.624 | 0.004 | 0.067 | 1.000 | 0.013 | 14.550 | 0.015 | 0.163 | 1.000 |
Naive P values are based on linear regression analysis. Variables have been adjusted for age, BMI, anxiety (STAI score), and presence of preoperative chronic pain condition. Bold figures indicate P value < 0.05.
BMI = body mass index; COMT = catechol-O-methyltransferase; NA = not available; NRS = numerical rating scale; SNP = single nucleotide polymorphism; STAI = state and trait anxiety inventory.