Last updated: 2021-01-26
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Knit directory: mmbr-rss-dsc/
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This is result from our mvSuSiE RSS simulation using UKB data. There are 600 datasets. The max PVE across traits is 0.0005.
For each dataset, we simulate signals using 2 type of priors, the details are here
Artificial mixture: 20 conditions. The oracle residual variance is a diagonal matrix.
UKB Bloodcells mixture: 16 conditions. The oracle residual variance is a dense matrix.
We estimate prior weights using ‘EM’ method.
Overall: Ignoring correlation between conditions in residual matrix results in poor fit. Joint modeling improves power.
We compare the CS and PIP for each SNP.
Artificial Mixture
UKB Bloodcells Mixture
Artificial Mixture
UKB Bloodcells Mixture
Artificial Mixture
mnm_rss_naive and mnm_rss_ed+oracle have overlapping CSs.
UKB Bloodcells Mixture
We compare the CS and PIP for each SNP in each trait.
Artificial Mixture
UKB Bloodcells Mixture
Artificial Mixture
UKB Bloodcells Mixture
Artificial Mixture
UKB Bloodcells Mixture