Methods for modeling gene-environment interplay using polygenic risk scores.

Abstract excerpt

Polygenic risk scores (PRS) are increasingly recognized as pivotal tools for quantifying disease risk through the aggregation of multiple genetic variants. As sample sizes in genome-wide association studies (GWAS) continue to expand and PRS become more powerful, they are set to play a key role in translational research and personalized medicine. Understanding the interplay of PRS with environmental factors is...

Topics

• Gene-Environment Interaction
• Genetic Risk Score
• Humans
• Genome-Wide Association Study
• Multifactorial Inheritance
• Genetic Predisposition to Disease