Last updated: 2021-01-08

Checks: 2 0

Knit directory: mmbr-rss-dsc/

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These are the previous versions of the repository in which changes were made to the R Markdown (analysis/mmbr_rss_ukb_simulation_20210107.Rmd) and HTML (docs/mmbr_rss_ukb_simulation_20210107.html) files. If you’ve configured a remote Git repository (see ?wflow_git_remote), click on the hyperlinks in the table below to view the files as they were in that past version.

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Rmd e1aed76 zouyuxin 2021-01-08 wflow_publish(“analysis/mmbr_rss_ukb_simulation_20210107.Rmd”)
Rmd c0cfcbe zouyuxin 2021-01-08 add new simulation result

This is result from our M&M 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.

Overall: Ignoring correlation between conditions in residual matrix results in poor fit.

PIP calibration

Artificial Mixture

UKB Bloodcells Mixture

Power

Artificial Mixture

  1. Comparing different residuals

  1. Comparing different priors

UKB Bloodcells Mixture

  1. Comparing different residuals

  1. Comparing different priors

CS

Artificial Mixture

  1. Comparing different residuals

  1. Comparing different priors

UKB Bloodcells Mixture

  1. Comparing different residuals

  1. Comparing different priors