Last updated: 2019-06-25

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• ✔ R Markdown file: up-to-date

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• ✔ Repository version: 8f3b82e

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  Ignored files:
      Ignored:    .Rhistory
      Ignored:    .Rproj.user/
  
  Untracked files:
      Untracked:  analysis/figure/
      Untracked:  analysis/ldl_cad_cache/
      Untracked:  example_data/CAD_META.gz
      Untracked:  example_data/genome_wide_pruned_vars.1.RDS
      Untracked:  example_data/glg_ldl__vanderHarst_cad_cause.RDS
      Untracked:  example_data/glg_ldl__vanderHarst_cad_data.RDS
      Untracked:  example_data/glg_ldl__vanderHarst_cad_grid.RDS
      Untracked:  example_data/jointGwasMc_LDL.txt.gz
      Untracked:  example_data/ld_data.tar.gz
      Untracked:  example_data/ld_data/
      Untracked:  example_data/ldl_cad_cause.RDS
      Untracked:  example_data/ldl_cad_cause.old_grid.RDS
      Untracked:  example_data/ldl_cad_params.RDS
      Untracked:  example_data/snp_overlap.txt
      Untracked:  example_data/snp_overlap_ldpruned.txt
      Untracked:  example_data/top_ldl_pruned_vars.1.RDS
      Untracked:  ll_v7_notes.Rmd
      Untracked:  matrix_lik.RDS
      Untracked:  quantile_sampling.R
      Untracked:  simulations/
      Untracked:  src/RcppExports.o
      Untracked:  src/log_likelihood_functions.o
      Untracked:  test_data/
  
  Unstaged changes:
      Modified:   R/map_pi_rho.R
      Modified:   README.md
      Modified:   analysis/_site.yml
  
  

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Expand here to see past versions:

File	Version	Author	Date	Message
Rmd	8f3b82e	Jean Morrison	2019-06-25	wflow_publish(files = c(“analysis/about.Rmd”, “analysis/index.Rmd”, “analysis/ldl_cad.Rmd”, “analysis/license.Rmd”,
html	46b159a	Jean Morrison	2018-10-17	Build site.
Rmd	19edfa4	Jean Morrison	2018-10-17	wflow_git_commit(“analysis/index.Rmd”)
html	f15238b	Jean Morrison	2018-10-14	Build site.
Rmd	d163752	Jean Morrison	2018-10-14	update about and index
Rmd	efc43ef	Jean Morrison	2018-10-14	Start workflowr project.

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Weclome to the CAUSE website!

Find a pre-print of the paper here.

CAUSE is a Mendelian Randomization method using genome-wide summary statistics. CAUSE models both horizontal and correlated pleiotropy in order to avoid false positives that can occur using other methods.

In this website you will find:

• A tutorial on how to use the cause R package
• Instructions for replicating simulations in the paper
• Instructions for replicating data analysis in the paper (coming soon)

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This reproducible R Markdown analysis was created with workflowr 1.1.1

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