8000 GitHub - luyang-ai4med/DL-GWAS
[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to content

luyang-ai4med/DL-GWAS

Folders and 8000 files

NameName
Last commit message
Last commit date

Latest commit

 

History

36 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Genetic association studies using disease liabilities from deep neural networks

This repository contains scripts for GWAS analysis. The preprint is online.

Installation

To replicate the analysis you will have to install the LDAK software > v5.2. Installation instructions and documentation can be found here.

Usage

First, you will have to prepare your phenotypes in PLINK Format. This pipeline expects phenotypes to be adjusted for covariates.

The analysis was performed on directly genotyped data from the UK Biobank. Data is expected to be in PLINK Format. Please also provide a list of samples to be included (homogeneous ancestry and unrelated individuals) and markers (i.e. SNP) that passed quality control (e.g. MAF > 0.01). For sex-specific analyses, provide the corresponding files of phenotypes and list of included individuals of the sex of interest.

For the LDAK-Bolt-Predict procedure, 65 functional annotations, of which 64 can be downloaded are needed. The final annotation depends on the genetic data at hand with code provided in the Snakefile.

The pipeline we followed is outlined in the Snakefile. Once all input data files and paths are specified, computation can be launched with the command snakemake. Cluster usage for snakemake is described here.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 2

  •  
  •  
0