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CHARGE-GLI

CHARGE - Gene-Lifestyle Interaction (GLI) Working group - Material 

The following contains material for quality control and analytical evaluation of genome-wide interaction studies (GWIS) and meta-analyses.

Dr. Thomas Winkler

Here you can download software that was developed for various aspects of GWIS within the CHARGE gene-lifestyle interaction working group (PI: DC Rao, Washington University of St. Louis). 


EasyQC2 (CHARGE-GLI: Quality control and file cleaning)

Description

EasyQC2 is an extension of the previous EasyQC R-package that provides advanced and improved functionality. 

Download

Currect Version: EasyQC2_1.1.2.tar.gz 

CHARGE Gene-Lifestyle Interaction working group - Cleaning

The following EasyQC2 scripts and reference data were used for quality control of study-specific gene-environment (GxE) interaction GWAS within the CHARGE Gene-Lifestyle Interaction working group. The GxE Interaction GWAS were conducted using LinGxEScanR, GEM or MMAP.  

Step 1: Study-QC 

Script: 

  charge2qc_240424.ecf (for binary E) 

  charge2qc_quante_240424.ecf (for quantitative E)

The script is capable with raw LinGxEScanR, GEM and MMAP output. It will conduct study-level QC and create CLEANED files. The script should be run for each study separately. Further details and instructions on the individual steps are shown as comments in the script. The script requires liftover and allele-frequency reference files that are described in the following.  

Script to check joint 2df P values: 

charge2checkp_221221.ecf

This script compares joint 2df P values calculated from the given summary statistics (beta_g, se_g, beta_gxe, se_gxe and covariance) with the given joint 2df P values. NOTE: The current version of the Study-QC script ("221221" version above) already contains these checks. You must only run the checkp script if you have cleaned the data with an earlier version of the Study-QC script. 

Liftover reference: 

  1000G_p3v5.TOPMed_Imputed.add_UKB.Liftover_hg19to38.txt.gz

The liftover reference file contains hg19 and respective hg38 chromosomal positions for 76,553,613 genetic variants. The variants included were obtained from an imputation of 1000 Genomes reference files to TOPmed (as described below) and from the imputed UK Biobank data (available through approved UK Biobank research project #8343). 

Allele frequency references: 

  1000G_AFR_p3v5.TOPMed_Imputed.Allele_Freq.hg38.txt.gz

  1000G_AMR_p3v5.TOPMed_Imputed.Allele_Freq.hg38.txt.gz

  1000G_EUR_p3v5.TOPMed_Imputed.Allele_Freq.hg38.txt.gz

  1000G_EAS_p3v5.TOPMed_Imputed.Allele_Freq.hg38.txt.gz

  1000G_SAS_p3v5.TOPMed_Imputed.Allele_Freq.hg38.txt.gz

The ancestry-specific allele frequency reference files contain three columns:

(i) 'cpaid' : Marker identifier using the format chr:pos:A1_A2 with A1 and A2 in alphabetical order and chr/pos on hg38

(ii) 'AA1_Freq': allele frequency of A1 for the respective ancestry

(iii) 'R2': Imputation quality for the respective ancestry

The allele frequency reference files were derived through imputation of ancestry-specific 1000 Genomes p3v5 reference files to TOPmed using the TOPmed imputation server. The imputation was conducted and results kindly provided by Michael Brown from the University of Texas Health Science Center at Houston. 

Step 2: Premeta-QC 

Script: 

  charge2premetaqc_231214.ecf (for binary E)

  charge2premetaqc_quante_231214.ecf (for quantitative E)

The script is capable with CLEANED study files from step 1. It performs a range of QC checks across studies and should be run with multiple studies at once. Further details and instructions on the individual steps are shown as comments in the script.

Requirements

R 3.1.0 or higher.

Only UNIX/LINUX systems are supported.


Citation

If you use EasyQC2 please cite

"Winkler et al.: Quality control and conduct of genome-wide association meta-analyses. Nature Protocols 2014"

and (if possible) reference our webpage "www.genepi-regensburg.de/easyqc2".

Thank you.


License

EasyQC2 is licensed under the GNU General Public License, version 3.

Copyright © 2022 by Thomas Winkler.

Although we hope that EasyQ2C will be useful, it is published WITHOUT ANY WARRANTY.


Contact

If you require support for a different platform or have any further questions please e-mail Thomas Winkler


EasyStrata2 (CHARGE-GLI: Analytical framework)

Description

EasyStrata2 is an extension of the previous EasyStrata R-package that provides advanced and improved functionality. 

CHARGE GLI - Analytivcal framework

You can download the latest version of EasyStrata2, EasyStrata2 scripts and reference files that are required to run all analyses from CHARGE-GLI analytical framework here: CHARGE-GLI.

Requirements

R 3.1.0 or higher.

Only UNIX/LINUX systems are supported.


Citation

If you use EasyStrata2 please cite

"Winkler et al.: EasyStrata: evaluation and visualization of stratified genome-wide association meta-analysis data. Bioinformatics 2015".

Thank you.


License

EasyStrata2 is licensed under the GNU General Public License, version 3.

Copyright © 2023 by Thomas Winkler.

Although we hope that EasyStrata2 will be useful, it is published WITHOUT ANY WARRANTY.


Contact

If you require support for a different platform or have any further questions please e-mail Thomas Winkler



  1. Fakultät für Medizin

Lehrstuhl für Genetische Epidemiologie

Institut für Epidemiologie und Präventivmedizin

Fittosize 191 191 4464fe38391e129d5ad35222161ab65b Eingang

Universitätsklinikum Regensburg
Franz-Josef-Strauß-Allee 11
93053 Regensburg