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Chunk #61 — Online Methods — eQTS mapping — Pruning SNPs and PGSs

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Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression.
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To identify the set of uncorrelated PGSs, 10 permuted trans-eQTL Z-score matrices from the combined trans-eQTL analysis were first confined to the pruned set of SNPs. Those matrices were then used to identify 3,042 uncorrelated genes based on Z-score correlations (absolute Pearson R<0.05). Next, permuted eQTS Z-score matrices were confined to uncorrelated genes and used to calculate pairwise correlations between all genetic risk scores to define a set of 1,873 uncorrelated PGSs (Pearson R2<0.1).