Table 4.
Comparison of targets for exon skipping by population (intra-population analysis).
| Population | Best Target Exon | p-Value | Frequency (%) | Second Best Target | Frequency (%) |
|---|---|---|---|---|---|
| Australia | N/A | p = 0.11 | - | N/A | - |
| Belgium | Exon 51 | p < 0.01 * | 10.26 | Exon 45 | 5.13 |
| Bulgaria | Exon 51 | p < 0.01 | 17.39 | Exon 45 | 8.7 |
| China | Exon 51 | p = 0.02 | 13.65 | Exon 53 | 7.94 |
| Denmark | N/A | p = 0.67 | - | N/A | - |
| France | N/A | p = 0.49 | - | N/A | - |
| Germany | N/A | p = 0.15 | - | N/A | - |
| Greece | Exon 51 | p < 0.01 | 20.22 | Exon 53 | 10.67 |
| Hungary | Exon 51 | p < 0.01 | 11.82 | Exon 53 | 6.36 |
| Italy | N/A | p = 0.96 | - | N/A | - |
| Netherlands | N/A | p = 0.77 | - | N/A | - |
| Portugal | Exon 51 | p < 0.01 * | 8 | Exon 45 | 6 |
| Romania | Exon 51 | p < 0.01 | 19.35 | Exon 53 | 12.9 |
| Serbia/ | Exon 45 | p < 0.01 | 11.27 | Exon 51 | 11.27 |
| Mexico (this study) | N/A | p = 0.53 | - | N/A | - |
* Yate’s corrected p-value.