Related Experiment Video
Updated: Jun 2, 2026

Large-Scale Multi-Omics Genome-Wide Association Studies (Mo-GWAS): Guidelines for Sample Preparation and Normalization
Published on: July 27, 2021
Using Fisher's method with PLINK 'LD clumped' output to compare SNP effects across Genome-wide Association Study
Hui Shi1, Christopher Medway, Kristelle Brown
1Human Genetics, School of Molecular Medical Sciences, Queens Medical Centre, University of Nottingham Nottingham NG7 2UH, UK.
Unlabelled:
As the number of publically available GWAS datasets continues to grow, bioinformatic tools which enable routine manipulation of data are becoming increasingly useful. Meta-analysis using multiple GWAS datasets has become essential to elucidate novel SNP associations which may not be readily discovered in each GWAS individually due to insufficient power. Replication of GWAS findings is critical and is the 'arbiter' of genuine SNP associations. We have developed an 'LD aware' bioinformatics application which allows efficient comparison of SNP effects across multiple GWAS datasets using Fisher's combined probability test from PLINK (v1.06) 'LD clumped' output.
Availability:
the application is freely available from the authors.
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