Efficient and accurate framework for genome-wide gene-environment interaction analysis in large-scale biobanks.

Abstract excerpt

Gene-environment interaction (G×E) analysis elucidates the interplay between genetic and environmental factors. Genome-wide association studies (GWAS) have expanded to encompass complex traits like time-to-event and ordinal traits, which provide richer phenotypic information. However, most existing scalable approaches focus only on quantitative or binary traits. Here we propose SPAGxECCT, a scalable and accurate...

Topics

• Humans
• Genome-Wide Association Study
• Gene-Environment Interaction
• Biological Specimen Banks
• Models, Genetic
• Polymorphism, Single Nucleotide