Genetic Association Mapping Leveraging Gaussian Processes

Abstract

Gaussian processes (GPs) are a useful and powerful approach for modeling nonlinear phenomena in various scientific fields, including genomics and genetics. In this review, we demonstrate an application of GPs specifically in genetic association mapping. Our focus is on the identification of genetic variants that alter gene regulation along cellular states at the molecular level, as well as disease susceptibility over time at the population level. Additionally, we address the challenges and opportunities that lie ahead in this field.