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Chunk #47 — ONLINE METHODS — Data acquisition, quality control, and normalization — Joint and conditional analysis.

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Integrative transcriptome analyses of the aging brain implicate altered splicing in Alzheimer's disease susceptibility.
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Joint and conditional analysis of TWAS results was performed using the summary statistic-based method described in Yang et al.41, which we applied to genes instead of SNPs. We used TWAS statistics from the main results and a correlation matrix to evaluate the joint/conditional model. The correlation matrix was estimated by predicting the cis-genetic component of expression for each TWAS gene and computing Pearson correlations across all pairs of genes. We used FUSION tool to perform the joint/conditional analysis, generate conditional outputs, and generate plots.