In the development of gapmer ASOs, there is a problem that not only the on-target gene but also off-target genes are down-regulated. Evaluating the off-target effects by experimental screening tests is time-consuming and economically burdensome. Therefore, computational risk assessment is needed. In this study, we proposed a risk score in terms of cleavage by RNase H1, binding energy between an ASO and an mRNA, and the secondary structure of mRNAs. For the evaluation, we used the 13-mer gapmer targeting human APOB (gap-A13) and the 13-mer gapmer targeting human PCSK9 (gap-P13) used in previous study. For each gapmer ASO, Pearson correlation coefficients between the experimental values of log fold-change (logFC) and the assessed risk scores were calculated for a large number of genes. The results of the calculations were r = -0.091 for gap-A13 and r = -0.124 for gap-P13. This result indicates that the risk score is not practical as a valid risk measure. However, there was a statistically significant difference in gene expression intensity before the introduction of ASO between the gene groups with overestimated risk scores and the others. This suggests that the gene expression intensity before ASO introduction is important for evaluating off-target effects.