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Chunk #53 — Methods — eQTL agreement

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Brain expression quantitative trait locus and network analyses reveal downstream effects and putative drivers for brain-related diseases.
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of the fold change in expression values between alleles92. We note that whereas AC, π1 and Rb can be calculated from summary statistics, caFC requires access to genotype and expression data. We therefore limited the caFC analysis to comparisons within the MetaBrain datasets and comparisons with the GTEx tissues. Details on how we calculated these measures of agreement are in the Supplementary Note. For AC, π1 and Rb comparisons with GTEx, we used the summary statistics for GTEx-v8 that were downloaded from the GTEx portal website. Calculations of the aFC per eQTL were performed with the original aFC script by Mohammadi and colleagues92 using the settings –log_xform 1 and –log_base 2, after which Pearson correlation was used to calculate caFC across shared eQTLs. For all comparisons with GTEx tissues, we performed discovery in Cortex-EUR while excluding the GTEx cohort.