Epistasis Evaluation

Epistasis evaluation characterises genetic interactions where one gene's effect depends on another gene's presence or state. High-order epistasis complicates genotype-phenotype prediction from single-nucleotide variants alone. Genome-wide association studies identification of epistatic loci enhances disease mechanism understanding. Patient stratification based on epistatic profiles predicts therapeutic response optimising treatment selection.

Polygenic risk scores incorporating epistatic interactions improve predictive accuracy over additive models. Pharmacogenetic applications employ epistasis characterising drug response variation. Regulatory submissions incorporating epistatic insights strengthen personalised medicine claims. Emerging artificial intelligence approaches detect epistatic interactions within complex genomic datasets.