Extended Data Table 3. Polygenic score analyses comparing 1,266 Australian neurodevelopmental cases and 1,688 controls.
| Polygenic score parameters | Resultsa | |||||
|---|---|---|---|---|---|---|
| Polygenic score | r2 for SNP pruning | P-value threshold for SNP pruning | Number of SNPs in score | Beta | Standard error | P-value |
| Educational attainment (SSGAC, 2018) | 0.1 | 1 | 92,091 | -0.218 | 0.038 | 9.97x10-9 |
| Height (Wood et al., 2014) | 0.1 | 0.005 | 9,809 | -0.155 | 0.04 | 8.84x10-5 |
| Intelligence (Sniekers et al., 2017) | 0.1 | 0.05 | 21,551 | -0.126 | 0.038 | 7.61x10-4 |
| Schizophrenia (QIMR removed) (Pardinas et al., 2018) | 0.1 | 0.05 | 23,878 | 0.092 | 0.038 | 0.014 |
| Intracranial volume (Adams et al., 2016) | 0.1 | 1 | 90,928 | -0.078 | 0.038 | 0.041 |
| Autism (Grove et al., 2017) | 0.1 | 0.1 | 26,846 | 0.07 | 0.038 | 0.063 |
| Birth weight (Horikoshi et al., 2016) | 0.1 | 0.01 | 6,828 | -0.062 | 0.038 | 0.098 |
| Developmental disorder risk (discovery GWAS) | 0.1 | 1 | 67,001 | -0.047 | 0.038 | 0.212 |
a
Logistic regression of case/control status on polygenic score using 10 ancestry principal components as covariates. P-values are uncorrected, two-sided, and from z-score distribution.