Table 1.
The association of polygenic risk score (PRS) for schizophrenia and bipolar disorder with the corresponding diseases in 106806 unrelated participants form the Taiwan Biobank data. Participants with BPD were excluded when predicting SCZ, and vice versa.
Schizophrenia 176 cases & 105919 controls |
Bipolar disorder 695 cases & 105919 controls |
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PRS | # variants | OR | p-value | R2a (%) | OR | p-value | R2a (%) |
SCZ | 872,662 | 2.22 | <0.001 | 4.32% | 1.18 | <0.001 | 0.23% |
SCZ (EAS) | 865,712 | 1.81 | <0.001 | 2.39% | 1.18 | <0.001 | 0.23% |
BPD | 871,342 | 1.51 | <0.001 | 1.14% | 1.24 | <0.001 | 0.39% |
SCZBPD vs. CONT | 867,670 | 1.63 | <0.001 | 1.64% | 1.24 | <0.001 | 0.38% |
SCZ vs.BPD | 863,006 | 1.15 | 0.074 | 0.12% | 0.92 | 0.024 | 0.06% |
SCZ concordant | 531,978 | 2.18 | <0.001 | 4.10% | 1.22 | <0.001 | 0.33% |
SCZ discordant | 334,201 | 1.55 | <0.001 | 1.32% | 0.99 | 0.742 | 0.00% |
BPD concordant | 531,983 | 1.69 | <0.001 | 1.86% | 1.27 | <0.001 | 0.48% |
BPD discordant | 334,204 | 0.94 | 0.369 | 0.03% | 1.08 | 0.041 | 0.05% |
aIncrease in Nagelkerke pseudo R2 when adding the PRS into the model including gender, age, batch version, and 20 population stratification dimensions.