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

kGWASflow is a Snakemake workflow for performing k-mers-based GWAS.

From QC to summary statistics

tips and tricks in genome-wide association studies - a tutorial

Genetic correlation calculation pipeline via summary statistics for PheWeb

GWAS analysis process based on EMMAX software

Make interactive LocusZoom plots from a local GWAS file

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.

Analysis code and processing stages for Genome-Wide meta-analysis of low grip strength in older people.

Tool for genome wide association studies with Bayesian inference and statistical learning

GWAS Pre-Processing Pipeline

DRAGGER: Drug Repositioning by Analysis of GWAS and Gene Expression in R (maintained version). For publication version, see https://github.com/AEstebanMar/DAGGER-publication

A pipeline to predict risk genes, implicated cell types and drugs for repurposing based on known risk genes (derived from GWAS) for complex traits.

genome-wide association study (GWAS) workflows

A shinyapp for performing GWAS in rapeseed based on a core collection

A web service to upload and share GWAS results with LocusZoom.js

Code repo for research project with Dr. Gissette Soffer and Dr. Badri Vardarajan at Columbia Medical Center

A simple GWAS parser + CLI