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Chunk #32 — 4 Test data generation

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FINEMAP: efficient variable selection using summary data from genome-wide association studies.
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was approximately 0.5. Single-SNP testing using a linear model was performed to compute z-scores. Each set of z-scores was then analyzed with CAVIARBF (default parameters) and FINEMAP (100 iterations saving the top 50 000 evaluated causal configurations). For both methods, the prior standard deviation of the causal effects was set to 0.05 and the prior distribution of each configuration with k causal SNPs was specified as p(γ)∝(1m)k(m−1m)m−k,fork=1,…,K.