Table 4. Logistic regression showing the adjusted odds ratios for the binary and continuous variables for different mutation categories in the Indian and Brazilian cohorts.
Variables | Parameters | "All CYP1B1 mutations" versus "No CYP1B1 mutations" | All "Homozygous CYP1B1 mutations" versus "Heterozygous CYP1B1 mutations" | ||||||
---|---|---|---|---|---|---|---|---|---|
India | India | Brazil | Brazil | India | India | Brazil | Brazil | ||
Adjusted OR (95%CI) | P value | Adjusted OR (95%CI) | P value | Adjusted OR (95%CI) | P value | Adjusted OR (95%CI) | P value | ||
Binary | Gender (Male) | 0.55 (0.25–1.99) | 0.131 | 0.42 (0.13–1.41) | 0.160 | 0.35 (0.10–1.28) | 0.112 | 1.96 (0.28–13.83) | 0.502 |
History of consanguinity | 0.84 (0.39–1.81) | 0.650 | 0.34 (0.02–5.58) | 0.448 | 0.40 (0.10–1.52) | 0.178 | 0.24 (0.03–2.28) | 0.215 | |
Continuous | IOP | 1.02 (0.96–1.09) | 0.481 | 1.05 (0.95–1.15) | 0.284 | 0.98 (0.86–1.11) | 0.751 | 0.93 (0.79–1.10) | 0.395 |
CD | 0.73 (0.50–1.06) | 0.099 | 1.36 (0.65–2.82) | 0.416 | 1.10 (0.59–2.07) | 0.755 | 0.67 (0.17–2.69) | 0.573 |