Single-nucleotide polymorphisms were selected for a variety of reasons (eFigure 3 and eTable 2), including having the best P values in the meta-analysis and after data integration using Mathematically based Integration of Heterogeneous Data (MIND)11 (validation studies are listed in the eMethods 2). MIND estimates the (posterior) probability that an SNP is associated with the disease after taking all data (GWAS meta-analysis and external data sets) into account. It empirically “weighs” other data according to the strength of its disease-relevant information. We used the following databases that contained significant SCZ information: SzGene12 database, summarizing the results of 1617 studies reporting on 952 SZC candidate genes (excluding findings from the GWAS used in our meta-analysis); top regions from a meta-analysis of 32 independent genome-wide linkage scans of 3255 pedigrees with 7413 SCZ cases13; a gene expression meta-analysis of 12 controlled studies across 6 different microarray platforms using postmortem brain tissue from SCZ cases and controls14; the OMIM database of disease genes; human orthologs of mouse genes associated with behavioral phenotypes relevant to neuropsychiatric outcomes15; and SNPs strongly associated with variation in
