Appendix Table 3.
ACMPE best-fitting model results [parameter estimate (standard error)]
| Within SDP |
Within outcome |
Between phenotypes |
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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| as | cs | ms | ps | es | ao | co | mo | po | eo | rA | rC | rM | rP | rE | |
| Birth weight | 0.823 (0.003) | 0.262 (0.003) | 0.213 (0.003) | 0.354 (0.003) | 0.288 | 0.394 (0.003) | 0.207 (0.003) | 0.147 (0.001) | 0.035 (0.003) | 0.300 (0.003) | −0.046 (0.003) | −0.773 (0.001) | −0.679 (0.003) | −1.000 (0.005) | −0.244 (0.001) |
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| Preterm birtha | 0.828 (0.008) | 0.183 (0.015) | 0.202 (0.017) | 0.394 (0.003) | 0.290 | 0.514 (1.314) | 0.494 (0.003) | 0.277 (0.002) | 0 | 0.644 | 0.045 (0.131) | 0.212 (0.170) | 0.385 (0.248) | 0 | 0.048 (0.012) |
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| Born small for gestational agea | 0.828 (0.008) | 0.183 (0.015) | 0.202 (0.017) | 0.394 (0.003) | 0.290 | 0.660 (0.006) | 0.396 (0.004) | 0.270 (0.005) | 0 | 0.578 | 0.536 (1.321) | 1.000 (1.414) | −0.138 (3.247) | 0 | 0.172 (0.706) |
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| Low academic achievementb | 0.810 | 0.344 | 0.267 | 0.296 | 0.258 | 0.893 | 0.154 | 0.366 | 0.105 | 0.185 | 0.598 | 0 | 0.623 | 0.494 | −0.018 |
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| General cognitive ability | 0.820 (0.047) | 0.283 (0.071) | 0.295 (0.070) | 0.289 (0.027) | 0.278 | 1.114 (0.026) | 0.825 (0.020) | 0 | 0 | 1.228 (0.014) | −0.555 (0.048) | −0.301 (0.093) | 0 | 0 | −0.034 (0.020) |
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| Criminality | 0.808 (0.006) | 0.344 (0.006) | 0.282 (0.006) | 0.293 (0.006) | 0.254 | 0.585 (0.006) | 0.192 (0.006) | 0.227 (0.020) | 0 | 0.755 | 1.000 (0.002) | −0.687 (0.017) | 0 | 0 | −0.001 (0.013) |
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| Violent criminality | 0.802 (0.028) | 0.349 (0.030) | 0.286 (0.036) | 0.297 (0.010) | 0.255 | 0.899 (0.018) | 0 | 0 | 0 | 0.438 | 0.691 (0.027) | 0 | 0 | 0 | 0.026 (0.019) |
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| Drug misuse | 0.850 (0.005) | 0.290 (0.005) | 0.229 (0.005) | 0.281 (0.005) | 0.249 | 0.730 (0.005) | 0 | 0 | 0 | 0.683 | 0.635 (0.005) | 0 | 0 | 0 | −0.002 (0.005) |
Abbreviations: SDP, maternal smoking during pregnancy.
Note: Standard errors may be misleading due to constraints put on the optimizer when fitting the model. The e-parameters for binary phenotypes are defined as remaining variance after estimation of other parameters and are therefore void of standard errors. All values significant, on a 5%-level, except when a “0” is stated, where they are non-significant in a likelihood ratio test and have been removed from model. e-parameters are not subject to significance tests. rE is included in final model regardless of significance.
Due to computational issues the model was fitted in three steps; first SDP and outcome were fitted separately, then the results from model fitting were used in the cross-phenotype analyses.
No valid standard errors could be obtained from the optimization.