After testing, genes that represent independent associations were termed jointly significant, and those that were no longer significant were termed marginally significant. 2.5 Bayesian colocalization To determine whether the GWAS summary data and eQTL signal shared the same causal variant, we performed a Bayesian colocalization analysis using the COLOC R package ( https://cran.r-project.org/web/packages/coloc/ , version 5.1.0).
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A cross-tissue transcriptome association study identifies key genes in essential hypertension.
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