- Introduction
- Citation
- How to install and run GATE
- UK Biobank GWAS Results
- Log for fixing bugs
- Notes for users before running jobs
GATE (Genetic Analysis of Time-to-Event phenotypes) is an R package with Scalable and accurate genome-wide association analysis of censored survival data in large scale biobanks using frailty models.
GATE performs single-variant association tests for time-to-event endpoints. GATE uses uses the saddlepoint approximation (SPA)(mhof, J. P. , 1961; Kuonen, D. 1999; Dey, R. et.al 2017) to account for heavy censoring rates.
GATE is based on joint work by Rouank Dey and Wei Zhou.
https://github.com/weizhouUMICH/SAIGE/wiki/Genetic-association-tests-using-SAIGE
The docker image can be found in the docker hub wzhou88/saige.survival:0.44.1
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After installation, the package needs to be called as SAIGE (will update)
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Currently, the only difference between this and the regular SAIGE job is that for step1, two additional arguments are used
eventTimeCol = “”,
eventTimeBinSize = 1
traitType = “survival”
eventTimeCol is the column name for the event time, e.g. age of diagnosis eventTimeBinSize is used to set the bin size for evene times. eventTimeBinSize=1 means the bin size will be 1 and if eventTimeBinSize is not specified, raw event time values will be used. phenoCol is for event status (0 or 1 is for censored or event)
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0.45 (June-30-2023) check perfect seperation after expanding the factor covariates. fix the Error in solve.default(t(X1) %*% (X1 * V))
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0.44.1 (June-15-2023) changed the package name to GATE from SAIGE
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0.44.1 (December-20-2022) fixed the error X1_fg %*% Z : non-conformable argument
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0.42.1 (August-19-2021) trying to fix the error X1_fg %*% Z : non-conformable argument
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0.42 (July-14-2021) fix the "AF > 0.5" error when input file is VCF
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0.41 (January-11-2021) fix the error from the merging branches
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Download and install miniconda
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Create a conda environment using
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conda environment file is in the SAIGE folder: https://github.com/weizhou0/GATE/conda_env/environment-RSAIGE_v0.yml
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After downloading environment-RSAIGE_v0.yml, run following command
conda env create -f environment-RSAIGE_v0.yml
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Activate the conda environment RSAIGE_v0
conda activate RSAIGE_v0 FLAGPATH=`which python | sed 's|/bin/python$||'` export LDFLAGS="-L${FLAGPATH}/lib" export CPPFLAGS="-I${FLAGPATH}/include"
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Install zlib
- download zlib and install zlin following the link
- add the path to the zlib.h to ~/.bashrc
export PATH=path_to_zlib:$PATH
- activate ~/.bashrc, you may need to log out and log in the system
source ~/.bashrc
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Install GATE from the source code
src_branch=main repo_src_url=https://github.com/weizhou0/GATE git clone --depth 1 -b $src_branch $repo_src_url Rscript ./GATE/extdata/install_packages_v0.R R CMD INSTALL --library=path_to_final_GATE_library GATE
When call GATE in R, set lib.loc=path_to_final_GATE_library.
library(GATE, lib.loc=path_to_final_GATE_library)