CMAX3: A Robust Statistical Test for Genetic Association Accounting for Covariates.

ABSTRACT: The additive genetic model as implemented in logistic regression has been widely used in genome-wide association studies (GWASs) for binary outcomes. Unfortunately, for many complex diseases, the underlying genetic models are generally unknown and a mis-specification of the genetic model can result in a substantial loss of power. To address this issue, the MAX3 test (the maximum of three separate test statistics) has been proposed as a robust test that performs plausibly regardless of the underlying genetic model. However, the original implementation of MAX3 utilizes the trend test so it cannot adjust for any covariates such as age and gender. This drawback has significantly limited the application of the MAX3 in GWASs, as covariates account for a considerable amount of variability in thes

SUBMITTER: Chen Z 

PROVIDER: S-EPMC8622598 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature