Table 2. Student attitudes toward personal genome testing.
| Genotyped group N = 23 | Non-genotyped group N = 8 | Genotyped vs. Non-genotyped | |||||
| Questiona | Pre | Post | P valueb | Pre | Post | P valueb | P valuec |
| If you were to undergo PGT, would you share your results with a physician? | 23 (100.0) | – | 6 (75.0) | 8 (100.0) | |||
| If you were to undergo PGT, would you ask a health care provider for help in interpreting the results? | 12 (52.2) | – | 4 (50.0) | 4 (50.0) | |||
| Would you at this time recommend PGT for a patient? | 9 (39.1) | 8 (34.8) | 1 | 4 (50.0) | 1 (12.5) | 0.25 | 0.38 |
| Most people can accurately interpret their PGT results | 0 (0.0) | 1 (4.3) | 0.025 | 0 (0.0) | 0 (0.0) | 1 | 0.38 |
| PGT companies provide an accurate analysis and interpretation of genotype data | 2 (8.7) | 10 (43.5) | 0.02 | 0 (0.0) | 0 (0.0) | 1 | 0.14 |
| PGT companies should be regulated by the federal government | 15 (65.2) | 18 (78.3) | 0.36 | 4 (50.0) | 7 (87.5) | 0.037 | 0.47 |
a
For yes/no questions, the number (and percentage) of subjects responding yes is reported. For Likert items, the number (and percentage) of subjects who agreed or strongly agreed with the statement is reported.
b
McNemar's test for binary response questions and Wilcoxon signed-rank test for Likert-scale items comparing pre- to post-course responses.
c
Fisher's exact test for binary response questions and Mann-Whitney U-test for Likert-scale items comparing post-course responses between genotyped and non-genotyped groups.