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GWAS Pipeline in R

A pipeline for conducting genome-wide association studies (GWAS) using bash & R.

Table of Contents

Introduction

Pipeline for performing genome-wide association studies (GWAS) using R. It supports data preprocessing, statistical analysis, and visualization of results.

Parts

  • Subsetting and filtering imputed germline vcf
  • SNP filtering based on Allele sequenced and frequency
  • Merging with covariates datasets
  • Elastic net feature selection & coxph
  • Visualization of FDR-significant SNPs with kaplan-meier curve
  • roc-test of FDR-significant SNPs
  • Visualization of results with Manhattan and QQ plots
  • Fine-mapping

InputDataRequired

  • .vcf file containing population of interest
  • .info file containing imputation information
  • list of patients in 0_TCGA-.-._TCGA-.-. line-delimited format

Notes

Refer to the Rmd directory The order is the same for both Rmd and scripts

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Survival Analysis and visualization

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