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Chunk #11 — Materials and methods — Statistics

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Gene-wide analyses of genome-wide association data sets: evidence for multiple common risk alleles for schizophrenia and bipolar disorder and for overlap in genetic risk.
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To calculate empirical gene-wide significance for each gene, we performed 1000 genome-wide permutations for each GWAS data set. For each gene in each permutation we obtained the smallest p and the product of p values as for the original dataset. We then calculated the three empirical p-values for each gene in the observed data by determining the proportion of permuted datasets where the corresponding p-value obtained for each gene was equal to or smaller than was observed in the true dataset.