Potential synthetic associations created by epistasis

Abstract excerpt

The prevalence of synthetic associations in GWAS, where non-causal variants become significant by tagging multiple undetected causal variants and not necessarily in strong linkage disequilibrium with any single one, remains unexplored. We introduce a novel machine-learning approach using only genotype data to infer such associations in human GWAS. Our analysis reveals that 3-5% of GWAS Catalog peaks may represent...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Genetic Associations and Epidemiology
• Share to Genetic Mapping and Diversity in Plants and Animals
• Share to Liver Disease Diagnosis and Treatment