JEM: A joint test to estimate the effect of multiple genetic variants on DNA methylation.

ABSTRACT: Multiple methods have been proposed to aggregate genetic variants in a gene or a region and jointly test their association with a trait of interest. However, these joint tests do not provide estimates of the individual effect of each variant. Moreover, few methods have evaluated the joint association of multiple variants with DNA methylation. We propose a method based on linear mixed models to estimate the joint and individual effect of multiple genetic variants on DNA methylation leveraging genomic annotations. Our approach is flexible, can incorporate covariates and annotation features, and takes into account relatedness and linkage disequilibrium (LD). Our method had correct Type-I error and overall high power for different simulated scenarios where we varied the number and specificity

SUBMITTER: Sarnowski C 

PROVIDER: S-EPMC8005415 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature