Topic: single-nucleotide polymorphisms (SNPs)

Imaging genetics has advanced to uncover genetic variants associated with imaging phenotypes characterized by imaging data, which can be considered functional. Functional data refers to data that are inherently functions, where each observation represents a curve, or some other form of continuous variation over a domain.In this study, we propose a novel approach, the functional sequence kernel association test (fSKAT), aimed at identifying single-nucleotide polymorphisms (SNPs) associated with functional phenotypes. To address the infinite space of functional data, we employ functional princip