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Using population-specific add-on polymorphisms to improve genotype imputation in underrepresented populations

https://www.biorxiv.org/content/10.1101/2021.02.03.429542v1

Data

Add-on SNPs for the H3Africa Array based on the TB-DAR cohort: 369154_H3A.AddOn_08_05_2020.score.csv

Prioritized Gene Regions: Prioritized_regions.csv

Code

1. QC

Main Script: qc_vcf_wgs.R

  • Sample/SNP based QC (Quality, Sex Check, Kinship).
  • Liftover from GRCh38 to GRCh37.
  • Extract SNPs on the H3Africa array.
  • Split data into training and testing set.

2. Imputation and Add-on Tag Selection

A Snakemake file has been created to run Imputation, Add-on Tag Selection, and Evaluation of Imputation Results: Snakefile

  • Input files and settings should be specified in the config file: config.yaml
  • Snakemake should be run for Setting 1 first, then Setting 2. The working directory should be workflow.
  • All outputs will be stored in the results directory.

3. Figures

  • Figures for add-on selection are constructed using plots.R
  • Figures for PCA are constructed using pca_analysis.R
  • Figures for Fst are constructed using AFRMap.R

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