A novel rare variants association test for binary traits in family-based designs via copulas.

ABSTRACT: With the cost-effectiveness technology in whole-genome sequencing, more sophisticated statistical methods for testing genetic association with both rare and common variants are being investigated to identify the genetic variation between individuals. Several methods which group variants, also called gene-based approaches, are developed. For instance, advanced extensions of the sequence kernel association test, which is a widely used variant-set test, have been proposed for unrelated samples and extended for family data. Family data have been shown to be powerful when analyzing rare variants. However, most of such methods capture familial relatedness using a random effect component within the generalized linear mixed model framework. Therefore, there is a need to develop unified and flexibl

SUBMITTER: Dossa HRG 

PROVIDER: S-EPMC10683345 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature