kGWASflow is a Snakemake workflow for performing k-mers-based GWAS.
This is a general (somewhat comprehensive) description of the LNG GWAS pipeline which can be used to guide researchers on how-to run a GWAS.
GWAS summary statistics files QC tool
GWAS analysis process based on EMMAX software
From QC to summary statistics
tips and tricks in genome-wide association studies - a tutorial
Genetic correlation calculation pipeline via summary statistics for PheWeb
Make interactive LocusZoom plots from a local GWAS file
Analyze human genetic knockouts to predict drug efficacy and side effects
Analysis code and processing stages for Genome-Wide meta-analysis of low grip strength in older people.
We suggest a novel way of defining NCD as a continuous phenotype, and we employ a mixed linear model to account for pronounced population stratification in the South Asian sample, which is more diverse than European samples, for example.
Tool for genome wide association studies with Bayesian inference and statistical learning
GWAS Pre-Processing Pipeline
A pipeline to predict risk genes, implicated cell types and drugs for repurposing based on known risk genes (derived from GWAS) for complex traits.
DRAGGER: Drug Repositioning by Analysis of GWAS and Gene Expression in R (maintained version). For publication version, see https://github.com/AEstebanMar/DAGGER-publication
Repository for performing federated GWAS across biobanks
A web service to upload and share GWAS results with LocusZoom.js
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