Last updated: 2022-07-20

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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.

Global PIP

PIP calibration

Using data-driven prior

Artificial Mixture

UKB Bloodcells Mixture

Power vs FDR

The residual variance matrix is estimated using z scores

The prior is oracle.

Trait-specific CS

Using data-driven prior and z score estimated residual correlation matrix.

Trait-specific PIP

PIP calibration

Artificial Mixture

UKB Bloodcells Mixture

Power vs FDR