Last updated: 2020-09-21

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Knit directory: mmbr-rss-dsc/

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This is result from our M&M RSS simulation. There are 300 datasets, each with 1000 SNPs. Per signal PVE is 0.05.

For each dataset, we simulate signals using 2 type of priors:

  1. Artificial mixture: 50 conditions.

The detail about prior is here.

The oracle residual variance is a diagonal matrix.

  1. GTEx mixture: 50 conditions.

The detail about prior is here.

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.

PIP calibration

Artificial Mixture

GTEx Mixture

Power

Artificial Mixture

GTEx Mixture

CS

Artificial Mixture

GTEx Mixture