Version 70 (modified by 12 years ago) (diff) | ,
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SOP for converting LifeLines Geno Data for one study
Table of Contents
Background
Researcher request access to LifeLines. If granted, they get a 'study'. In this study data set all identifiers should be impossible to link back to the rest of lifelines. Therefore, all 'lifelines participant identifiers' will need to be replaced with 'study sample identifiers'. This SOP describes how to do that for genotypic data.
Variables per study:
- studyId - the id of study. E.g. 'OV039'
- studyDir - the folder where all converted data should go. E.g. '../home/lifelines_OV039'
- mappingFile - describing the mapping of 'lifelines gwas IDs' to 'study sample IDs' are. E.g.:
LL_WGA0001 12345 LL_WGA0002 09876 LL_WGA0003 64542 ...
- So: LifeLines GWAS ID's - TAB - Study sample IDs
- Items are TAB-separated and it doesn't end with a newline
Constants over all studies (for LL3):
- Beagle imputed dosage files per chromosome (dose): /target/gpfs2/lifelines_rp/releases/LL3/BeagleImputedDosage/*.dose
- Beagle imputed genotype files per chromosome (ped/map): /target/gpfs2/lifelines_rp/releases/LL3/BeagleImputedPedAndMap/*.map and *.ped
- Beagle batch and quality files: /target/gpfs2/lifelines_rp/releases/LL3/BeagleImputedDosage/BeagleBatches.txt and BeagleQualityScores?.txt
- PCA analysis of the genotypes; used for QC (filtering of individuals genetically too different): /target/gpfs2/lifelines_rp/releases/LL3/UnimputedPedMap
Expected outputs
Result of this procedure is that there will be a folder readable to a lifelines_OV039 user containing:
- [studyId]_Chr.PED/MAP/FAM imputed genotype files (split per chromosome, with missing value phenotype, monomorphic filtered)
- [studyId]_Chr.BIM/BED/FAM imputed genotype files (split per chromosome, with missing value phenotype, monomorphic filtered)
- [studyId]_Chr.DOSE imputed dosage files (split per chromosome, with missing value phenotype, monomorphic filtered)
- [studyId]_imputation_batch.txt listing imputation batches
- [studyId]_imputation_batch_quality.txt listing imputation quality per SNP x batch
NB: All files should be prefixed with studyId
.
TODO monomorphic filtering
Procedure
Step 0: request a study user
Contact "Target beheer" (admins, e.g. Ger) and ask for an account.
E.g. username = lifelines_OV093
group = none
home directory = /target/gpfs2/lifelines-genome/home/lifelines_OV093
Step 1: GCC gets a mapping file
This is done by member of TCC:
- In every [StudyID] schema for a study that has geno data, there is a VW_DICT_GENO_PSEUDONYMS view
- In this view, PA_IDs (LL IDs) are related to GNO_IDs ("WGA" IDs, the LL_WGA numbers)
- Export this view (tab separated, no enclosures, no headers) to subset_study<n>.txt
- scp to cluster.gcc.rug.nl:/target/gpfs2/lifelines_rp/releases/LL3
The result is the mappingFile as described above
Step 2: generate conversion jobs
The conversion has been fully automated (see below for details). First we generate all the jobs needed to convert.
(1) Create the conversion script.
We edit a file, e.g. convert_OV039.sh
Command:
sh /target/gpfs2/lifelines_rp/releases/LL3/scripts/generateGenoJobs.sh \ --studyId OV039 \ --studyDir /full/path/to/lifelines_OV039 \ --mappingFile /full/path/to/mappingFile_OV039.txt
NB use full path names
(2)
Run the script
sh convert_OV039.sh
Step 3: submit jobs
change directory to the 'studyDir/jobs' directory, inspect jobs and submit:
change directory:
cd ../lifelines_OV039/jobs
list scripts (we expect jobs for 'plink' and 'dose' and each chromosome):
ls -lah
submit to cluster
sh submit_jobs.sh
monitor job completions (on an empty cluster this takes >2hr)
qstat -u <user>
Step 4: QC results
Steps
- check jobs/*.finished files for all jobs (should all exist)
- check error logs (should not be there)
- run the test
sh jobs/run_test.sh
Step 5: release
cd ../lifelines_OV039/ #remove temp files (!) rm temp* #copy the quality scores cp /target/gpfs2/lifelines_rp/releases/LL3/BeagleImputeDosage/BeagleImputedQualityScores.txt OV039_imputation_batch_qualities.txt #give user permission to see the data chown lifelines_OV039:lifelines *
Implementation details
The 'generateGenoJobs.sh' script implements the following steps:
Convert MAP/PED and generate BIM/BED/FAM
#step1 #generate 'updateIdsFile' and 'keepFile' files in plink format from the mappingFile #step2: for i in {1..22} #--file [file] is input file in .map and .ped #--keep [file] tells plink what individuals to keep (from mappingFile.txt file with fam + ind id) #--recode tells plink to write results (otherwise no results!!! argh!) #--out defines output prefix (here: filtered.*) #--update-ids [file] tells prefix to update ids #result: filtered.ped/map' /target/gpfs2/lifelines_rp/tools/plink-1.08/plink108 \ --file /target/gpfs2/lifelines_rp/releases/LL3/BeagleImputedPedAndMap/output.$i \ --update-ids $updateIdsFile \ --out $studyDir/${studyId}_chr$i \ --keep $keepFile \ --recode #step 3: for i in {1..22} #convert to bim/fam/bed plink \ --file $studyDir/${studyId}_chr$i \ --make-bed #step 4: #remove temp rm temp*
Convert dosage format
As PLINK cannot updateIds on dosage files we created it ourselves. The command:
#step1: for i in {1..22} #--subsetFile is the mappingFile #--doseFile is the imputed dosages #--outFile is where the converted file should go python /target/gpfs2/lifelines_rp/releases/LL3/scripts/convertDose.py \ --subsetFile $mappingFile \ --doseFile /target/gpfs2/lifelines_rp/releases/LL3/BeagleImputedDosage/ImputedGenotypeDosageFormatPLINK-Chr$i.dose \ --outFile ${studyDir}/${studyId}_chr$i.dose
Deprecated: Maintaining the source code of the tools
To work with the sourcecode:
- Checkout code from svn: http://www.molgenis.org/svn/standalone_tools/
- Find compiled jars at http://www.molgenis.org/svn/standalone_tools/jars/
- Read manuals for use: http://www.molgenis.org/svn/standalone_tools/manuals/
Additional scripts
Define the source folders (where data has been converted) and final destination (folder where data is served). Sometimes the name are different.
For example
sources=("lifelines_OV0xy" "lifelines_OV0xy") targets=("lifelines_OV0ab" "lifelines_OV0cd")
Script to check if all folders are there
total=${#sources[*]} for (( i=0; i<=$(( $total -1 )); i++ )) do if [ -d /target/gpfs2/lifelines-genome/home/${targets[i]}/ ] && [ -d /target/gpfs2/lifelines_rp/releases/LL3/${sources[i]}/ ]; then echo ${targets[i]} else echo "error: "${sources[i]} fi
Batch copy and setup of the data
total=${#sources[*]} for (( i=0; i<=$(( $total -1 )); i++ )) do if [ -d /target/gpfs2/lifelines-genome/home/${targets[i]}/ ] && [ -d /target/gpfs2/lifelines_rp/releases/LL3/${sources[i]}/ ]; then echo ${targets[i]} rm /target/gpfs2/lifelines-genome/home/${targets[i]}/*.bim rm /target/gpfs2/lifelines-genome/home/${targets[i]}/*.ped rm /target/gpfs2/lifelines-genome/home/${targets[i]}/*.map rm /target/gpfs2/lifelines-genome/home/${targets[i]}/*.bed rm /target/gpfs2/lifelines-genome/home/${targets[i]}/*.dose rm /target/gpfs2/lifelines-genome/home/${targets[i]}/*.log rm /target/gpfs2/lifelines-genome/home/${targets[i]}/*.fam rm /target/gpfs2/lifelines-genome/home/${targets[i]}/*_imputation* rsync -av --progress /target/gpfs2/lifelines_rp/releases/LL3/${sources[i]}/ \ /target/gpfs2/lifelines-genome/home/${targets[i]}/ rm /target/gpfs2/lifelines-genome/home/${targets[i]}/temp* rm /target/gpfs2/lifelines-genome/home/${targets[i]}/imputed/test* rm /target/gpfs2/lifelines-genome/home/${targets[i]}/jobs* chown -R $user /target/gpfs2/lifelines-genome/home/${targets[i]}/* chmod -R a-rw /target/gpfs2/lifelines-genome/home/${targets[i]}/* chmod -R u+r /target/gpfs2/lifelines-genome/home/${targets[i]}/* else echo "error: "${sources[i]} fi done
Count files to see if indeed all completed
for (( i=0; i<=$(( $total -1 )); i++ )) do if [ -d /target/gpfs2/lifelines-genome/home/${targets[i]}/ ] && [ -d /target/gpfs2/lifelines_rp/releases/LL3/${sources[i]}/ ]; then echo "${sources[i]} -> ${targets[i]}" echo "raw" ls -lah /target/gpfs2/lifelines_rp/releases/LL3/${sources[i]}/raw | wc -l ls -lah /target/gpfs2/lifelines-genome/home/${targets[i]}/raw | wc -l echo "imputed" ls -lah /target/gpfs2/lifelines_rp/releases/LL3/${sources[i]}/imputed | wc -l ls -lah /target/gpfs2/lifelines-genome/home/${targets[i]}/imputed | wc -l fi done