SOP for converting LifeLines Geno Data

How to pseudonomize geno data per study

This SOP applies to LL3.

Specifications:

• Geno data is released to researcher 'per study' (i.e. an approved research request).
• Per study a subset of the individuals is selected
• The individual identifiers are 're-pseunomized' from 'WGA' to 'study' identifiers
• Data is reformatted in various PLINK formats

Expected outputs

The IDS should be filtered (e.g. 5000) and recoded (psuedoids) for one study.

User expects files in PLINK format:

• PED/MAP/FAM genotype files (split per chromosome, with missing value phenotype, monomorphic filtered)
• BIM/BED/FAM genotype files (split per chromosome, with missing value phenotype, monomorphic filtered)
• MAP/PED dosage files (split per chromosome, with missing value phenotype, monomorphic filtered)

Required inputs

The following are input for the conversion procedure:

• Beagle imputed genotype files (fam/ped/map): /target/gpfs2/lifelines_rp/releases/LL3/BeagleImputedPedAndMap
• Beagle imputed dosage files (dose): /target/gpfs2/lifelines_rp/releases/LL3/BeagleImputedDosage
• per study mapping file for study to filter and re-pseudonomize identifiers

Example mapping file:

1   LL_WGA0001   1   STUDYPSEUDO1
1   LL_WGA0002   1   STUDYPSEUDO2
1   LL_WGA0003   1   STUDYPSEUDO3
...

• So: Geno family ID's - TAB - Geno individual ID's - TAB - Study family psuedonyms TAB Study pseudonyms
• Items are TAB-separated and it doesn't end with a newline

Procedure

Step 1: create subset_study<n>.txt file for study<n>

• In every STUDY<n> 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 ("Marcel" 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

Step 2: convert into study<n>.tped format

cd to directory:

cd /target/gpfs2/lifelines_rp/releases/LL3

reformat mapping file WHY IS THIS?:

./formatsubsetfile.sh study<n>.txt

filter individuals (repeat per chr)

#--file [file] is input file (expects .map and .ped)
#--keep [file] tells plink what individuals to keep (from 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'

plink --file testdata_chr1 --keep subset.txt --recode --out temp_chr1

update individuals ids (repeat per chr)

#--file [file] is input file
#--keep [file] tells plink what individuals to update 
#(from txt file with OLD fam + ind id + NEW fam id + ind id)
#--recode tells plink to write results (otherwise no results!!! argh!)
# result: updatedids.map/ped

plink --file temp_chr1 --update-ids subset.txt --recode --out study2_chr1 

#step 3: #convert to bed (repeat per chr) plink --file study2_chr1 --make-bed

Step 4: convert into dosage format

TODO! ask Joeri?

Step 5: copy all study*<n> files to the lifelines0<n> folder

cp study<n>* ../../lifelines0<n>

• May take some time!

Maintaining the source code of the tools

To work with the sourcecode:

1. Checkout code from svn: ​http://www.molgenis.org/svn/standalone_tools/
2. Find compiled jars at ​http://www.molgenis.org/svn/standalone_tools/jars/
3. Read manuals for use: ​http://www.molgenis.org/svn/standalone_tools/manuals/

Overview

A schematic overview of the export procedures described above.