New Computational Tool Unveils Genetic Interactions Affecting Human Traits
A new computational method, FAME, has been developed to detect genetic interactions that influence complex human traits. This tool, applied to large genomic datasets, identifies how a person's genetic background can modify the effects of individual genetic variants on traits. The study, published in Nature Genetics, highlights the ability of FAME to uncover interaction effects that are often missed by traditional single-variant analyses. By analyzing data from the UK Biobank, the researchers identified 16 instances of genetic interactions affecting traits such as cholesterol and liver enzymes. This advancement provides a deeper understanding of the genetic basis of complex traits and could enhance precision medicine. 
