We used H-MAGMA, a computational tool that incorporates brain chromatin interaction profiles from Hi-C, to identify risk genes associated with PAU based on EUR inputs. Six brain annotations were used: fetal brain, adult brain, adult midbrain dopaminergic, iPSC-derived astrocyte, iPSC-derived neuron and cortical neuron. In total, 319,903 gene–chromatin associations were analyzed across the six brain annotations. Significant genes were those with a P value below the Bonferroni corrected value for the total number of tests (P < 0.05/319,903 = 1.56 × 10−7).
