Incorporating family disease history and controlling case-control imbalance for population-based genetic association studies.

ABSTRACT:

Motivation

In the genome-wide association analysis of population-based biobanks, most diseases have low prevalence, which results in low detection power. One approach to tackle the problem is using family disease history, yet existing methods are unable to address type I error inflation induced by increased correlation of phenotypes among closely related samples, as well as unbalanced phenotypic distribution.

Results

We propose a new method for genetic association test with family disease history, mixed-model-based Test with Adjusted Phenotype and Empirical saddlepoint approximation, which controls for increased phenotype correlation by adopting a two-variance-component mixed model, accounts for case-control imbalance by using empirical saddlepoint approximation, and is flex

SUBMITTER: Zhuang Y 

PROVIDER: S-EPMC9477535 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature