JASPER: Fast, powerful, multitrait association testing in structured samples gives insight on pleiotropy in gene expression.

ABSTRACT: Joint association analysis of multiple traits with multiple genetic variants can provide insight into genetic architecture and pleiotropy, improve trait prediction, and increase power for detecting association. Furthermore, some traits are naturally high-dimensional, e.g., images, networks, or longitudinally measured traits. Assessing significance for multitrait genetic association can be challenging, especially when the sample has population sub-structure and/or related individuals. Failure to adequately adjust for sample structure can lead to power loss and inflated type 1 error, and commonly used methods for assessing significance can work poorly with a large number of traits or be computationally slow. We developed JASPER, a fast, powerful, robust method for assessing significance of m

SUBMITTER: Mbatchou J 

PROVIDER: S-EPMC11339629 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature