## 2 Results
### PLA2G7 rs1051931 Is Associated with Numeric Rating Scale Pain Scores in the JUH Group  
Associations between _PLA2G7_ rs1051931 and Numeric Rating Scale (NRS) pain scores in 332 patients who underwent laparoscopic surgery for benign gynecological disease were analyzed. The patients' genotype distributions of _PLA2G7_ rs1051931 are shown in Table 1. _PLA2G7_ rs1051931 did not deviate from the theoretical Hardy-Weinberg equilibrium (\(\chi^{2}\) = 0.616, \(p\) = 0.432). In the genotypic model (among the TT, TC, and CC genotypes), the Kruskal-Wallis test revealed that _PLA2G7_ rs1051931 showed a trend toward significance in the association with NRS pain scores (genotypic model, \(p\) = 0.076, Table 3).  
In the dominant model (between the TT + TC and CC genotypes), the Mann-Whitney \(U\) test showed a significant association between _PLA2G7_ rs1051931 and NRS pain scores (dominant model, \(p\) = 0.025; Table 3), suggesting that _PLA2G7_ rs1051931 is significantly associated with pain in the dominant model. In the recessive model (between the TT and TC + CC genotypes) of _PLA2G7_ rs1051931, NRS pain scores did not show a significant association (\(p\) > 0.05; Table 3).  
For median NRS pain scores in genotypes of _PLA2G7_ rs1051931, median NRS pain scores of the TT, TC, and CC genotypes were 1.3, 1.5, and 1.7, respectively. To ascertain linearity, the Jonckheere-Terpstra trend test was applied. The genotypic groups showed significant linearity in median NRS pain scores for patients' genotypic groups (\(p\) = 0.024,  
\begin{table}
\begin{tabular}{c c c c c c} \hline
**Genotype** & **Statistical Method** & \(\chi^{2}\)**Values** & \(p\)**Values** & **With** & **Without** \\
**Group** & & & & **Dyesesthesia** & **Dyesesthesia** \\ \hline TT/TC/CC & \(\chi^{2}\) test & 4.433 & 0.1090 & 0/20/129 & 1/33/120 \\  & Cochran-Armitage trend test & - & 0.0490 * & (0.0/13.4/86.6) & (0.7/21.4/77.9) \\ \hline TT + TC/CC & \(\chi^{2}\) test & 3.873 & 0.0491 * & 20/129 & 34/120 \\  & & & & (13.4/86.6) & (22.1/77.9) \\ \hline TT/TC + CC & \(\chi^{2}\) test & 0.971 & 0.3245 & 0/149 & 1/153 \\  & & & & (0.0/100.0) & (0.6/99.4) \\ \hline \end{tabular}  
* \({}^{*}p\) < 0.05. The data are expressed as the number (%) of subjects.  
\end{table}
Table 2: Genotype distribution of _PLA2G7_ rs1051931 in patients with and without dysesthesia (TD group).  
\begin{table}
\begin{tabular}{c c c c} \hline
**Genotype Group** & **Numerical Rating Scale Pain Score** & **Statistical Method** & \(p\)**Values** \\  & **(Median [Interquartile Range])** & & Kruskal–Wallis test & 0.0755 \\ \hline TT/TC/CC & 1.3 [0.3]/1.5 [1.8]/1.7 [1.4] & Jonckheere–Terpstra test & 0.0243 * \\ \hline TT + TC/CC & 1.5 [1.7]/1.7 [1.4] & Mann–Whitney \(U\) test & 0.0249 * \\ \hline TT/TC + CC & 1.3 [0.3]/1.7 [1.5] & Mann–Whitney \(U\) test & 0.4706 \\ \hline \end{tabular}  
* \({}^{*}p\) < 0.05.  
\end{table}
Table 3: Association analysis of _PLA2G7_ rs1051931 with clinical data (JUH group).  
Jonckheere-Terpstra trend test; Table 3). This result suggests that pain severity becomes higher as the number of C alleles in the genotypes increases. In the dominant model of the rs1051931 SNP, median NRS pain scores were significantly higher in the CC genotype compared with the TT + TC genotype (median NRS pain score: TT + TC, 1.5; CC, 1.7; Figure 1). This result suggests that patients with the CC genotype are more likely to have higher pain severity.