Statview software version 5

All statistical analyses were performed using StatView software version 5.0 (SAS, Cary, USA). The Mann-Whitney U test was used to compare the data between the two groups. The chi-square test was used to compare the primary diseases between the two groups. The results are expressed as mean ± SD, and a value of p<0.05 was considered statistically significant.

All analysis for real time RT-qPCR and RNA-seq are presented as the mean±S.E.M [15 (link)]. Each experiment was performed at least three times and subjected to statistical analysis. One-way analysis of variance (ANOVA) was first performed to determine differences among groups (*: p<0.05; **: p<0.01). Fisher’s post hoc test was then performed to determine significant differences between pairs. Values of p<0.05 and p<0.01 were considered significant. Statistical tests were performed using Stat View software version 5.0 (SAS Institute Inc., Cary, NC, USA).

The deviation from Hardy-Weinberg Equilibrium (HWE) and dichotomous variables such as gender distribution between cases and controls, allele and genotype frequency distribution between cases and controls were tested using Pearson’s Chi-square analysis and Fisher’s test where applicable. Normality testing of continuous variables was done using the Kolmogorov–Smirnov test. Accordingly, the Mann-Whitney U test was used for a two-group comparison and the Kruskal-Wallis test for a three-group comparison. Logistic regression analysis was performed to test the effects of multiple risk factors (age, sex, and genotypes) on disease outcomes. The analyses were performed using SPSS version 22 (IBM Inc., Chicago, Illinois, USA), Stat View software version 5.0 (SAS Institute, Cary, NC, USA), and SNPStats online software (https://www.snpstats.net/start.htm) [47 (link)]. The combined allelic effect was estimated using SHEsis (http://analysis.bio-x.cn/myAnalysis.php). Power analysis used an open-source online PS program version 3.1.2 for unmatched case-control (dichotomous) testing (https://vbiostatps.app.vumc.org/ps/). A p < 0.05 (two-tailed) was considered statistically significant. Bonferroni’s correction p-value for multiple testing was considered where applicable.

The values of measured variables were expressed as mean ± standard deviation or median with a range of values. The median NTCRs of the donor and recipient hepatocytes were compared between cases using the Mann-Whitney test or Wilcoxon test. Correlations were analyzed with the Spearman correlation coefficient test and a single regression analysis using the software package Dr.SPSS II (SPSS, Chicago, IL). The relationships among NTCR values, donor age and group (lower versus comparable NTCR) were assessed by multiple regression analyses using StatView software version 5.0 (SAS Institute Inc.). Differences were considered significant at p<0.05.

Continuous quantitative variables were compared using Student’s t test, ordinal quantitative variables were compared using Mann–Whitney U test, and qualitative variables were compared using chi-squared test with Fisher’s exact test. The Kaplan–Meier method was used to calculate local control (LC), overall survival (OS), cause-specific survival (CSS), and progression-free survival (PFS) rates, and group comparisons were made using the log-rank test. The Cox proportional hazard model was used to identify predictors of OS in both univariate and multivariate analyses. Multivariate analyses were performed for variables with probability (p) values of < 0.20 in univariate analysis, and differences were considered significant when p < 0.05. All statistical analyses were performed using StatView software version 5.0 (SAS Institute, Cary, NC, USA).