Fig. 3.
Ability of polygenic scores for CP and seven related traits to predict cerebral palsy (CP) in the full Australian cohort and subgroups with or without a monogenic CP diagnosis. A) Single-PGS logistic regressions, adjusted for sex and 10 ancestry PCs. Star = significant association of polygenic score with CP status after p-value adjustment for eight comparisons. B) Multiple-PGS logistic regression, adjusted for sex and 10 ancestry PCs (all eight polygenic scores in the same model). Star = significant association of polygenic score with CP status after p-value adjustment for eight comparisons. C) Area under the receiver operating characteristics curve for each polygenic score, or all eight polygenic scores in the same model. Star = AUC significantly >0·5, after p-value adjustment for nine comparisons. D) Variance explained in CP on the liability scale attributable to each polygenic score, or to all eight polygenic scores in the same model. Population prevalence of 0·0014 used for the Australian cohort (1 in 700 live with CP in Australia). Variance on the liability scale explained significantly >0 after p-value adjustment for nine comparisons is indicated by ∗. Points = means; bars = 95% CIs for A–B (two-tailed Wald tests, α = 0·05), and 90% CIs for C–D (one-tailed Z-tests, α = 0·05). Dark green circles = Full Australian cohort (ncases = 525, ncontrols = 20,410), lighter green triangles = individuals with a monogenic diagnosis of CP (ncases = 122, ncontrols = 20,410), lightest green squares = individuals without a monogenic diagnosis for CP (ncases = 395, ncontrols = 20,410).