We used conditional analyses to identify independent associations within loci. These analyses clarify the most strongly associated genes and tissues (Table 1), while we note that nearly co-linear gene-tissue pairs could also represent causal associations. The tissues highlighted allowed us to tabulate apparently independent contributions to SCZ risk from different brain regions, even though their transcriptomes are highly correlated generally. We find DLPFC and Cerebellum effects, as well as from Putamen, Caudate and Nucleus Accumbens Basal Ganglia. One caveat here is that tissue-associations are likely driven by sample size of the eQTL reference panel, as well as biology. It is likely that the large sample size of the DLPFC reference panel contributes partially to the greater signal identified in the DLPFC.
