Table 4.
MR-CAUSE analysis displaying that the sharing model has a significantly worse fit than the causal model for the association between ADHD and the outcomes education, income, TDI, as well as intelligence, respectively
| Model 1a | Model 2a | Δ ELPDb | s.e. Δ ELPD | z-score | p-value |
|---|---|---|---|---|---|
| Education (SNPs=1430) | |||||
| Null | Sharing | −6.9 | 2.2 | −3.2 | 0.00072 |
| Null | Causal | −13.0 | 4 | −3.3 | 0.00041 |
| Sharing | Causal | −6.4 | 1.8 | −3.5 | 0.00023 |
| Income (SNPs=1430) | |||||
| Null | Sharing | −3.1 | 1.5 | −2.1 | 0.018 |
| Null | Causal | −8.2 | 3.6 | −2.3 | 0.011 |
| Sharing | Causal | −5.1 | 2.1 | −2.4 | 0.008 |
| TDI (SNPs=1430) | |||||
| Null | Sharing | −5.2 | 2.2 | −2.4 | 0.0092 |
| Null | Causal | −10.0 | 4.1 | −2.5 | 0.007 |
| Sharing | Causal | −4.8 | 1.9 | −2.5 | 0.0063 |
| Intelligence (SNPs=1430) | |||||
| Null | Sharing | −0.91 | 0.77 | −1.2 | 0.12 |
| Null | Causal | −4.60 | 2.7 | −1.7 | 0.043 |
| Sharing | Causal | −3.70 | 1.9 | −1.9 | 0.027 |
aModel 1 and Model 2 refer to the models being compared (null, sharing, or causal)
bModel fit is measured by Δ Expected Log Pointwise Posterior Density (ELPD); Negative values indicate that model 2 is a better fit