Last updated: 2021-03-16

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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

  1. Artificial mixture: 20 conditions. The oracle residual variance is a diagonal matrix.

  2. UKB Bloodcells mixture: 16 conditions. The oracle residual variance is a dense matrix.

We estimate prior weights using ‘EM’ method.

Comparing with previous simulation 20210107, we add a small diagonal to ED priors.

Global comparison

We compare the CS and PIP for each SNP.

PIP calibration

Artificial Mixture

  1. Different residuals with Oracle prior

  1. Different priors with Oracle residual

  1. Different priors with estimated residual from close to null z scores

UKB Bloodcells Mixture

  1. Different residuals with Oracle prior

  1. Different priors with Oracle residual

  1. Different priors with estimated residual from close to null z scores

Power

Artificial Mixture

  1. Different residuals with Oracle prior

  1. Different priors with Oracle residual

  1. Different priors with estimated residual from close to null z scores

UKB Bloodcells Mixture

  1. Different residuals with Oracle prior

  1. Different priors with Oracle residual

  1. Different priors with estimated residual from close to null z scores

CS

Artificial Mixture

mnm_rss_naive has overlapping CSs.

  1. Different residuals with Oracle prior

  1. Different priors with Oracle residual

  1. Different priors with estimated residual from close to null z scores

UKB Bloodcells Mixture

  1. Different residuals with Oracle prior

  1. Different priors with Oracle residual

  1. Different priors with estimated residual from close to null z scores

Trait specific comparison

We compare the CS and PIP for each SNP in each trait.

PIP calibration

Artificial Mixture

  1. Different residuals with Oracle prior

  1. Different priors with Oracle residual

  1. Different priors with estimated residual from close to null z scores

UKB Bloodcells Mixture

  1. Different residuals with Oracle prior

  1. Different priors with Oracle residual

  1. Different priors with estimated residual from close to null z scores

Power

Artificial Mixture

  1. Different residuals with Oracle prior

  1. Different priors with Oracle residual

  1. Different priors with estimated residual from close to null z scores

UKB Bloodcells Mixture

  1. Different residuals with Oracle prior

  1. Different priors with Oracle residual

  1. Different priors with estimated residual from close to null z scores

CS

Artificial Mixture

mnm_rss_naive and mnm_rss_ed+oracle have overlapping CSs.

  1. Different residuals with Oracle prior

  1. Different priors with Oracle residual

  1. Different priors with estimated residual from close to null z scores

UKB Bloodcells Mixture

  1. Different residuals with Oracle prior

  1. Different priors with Oracle residual

  1. Different priors with estimated residual from close to null z scores