Adaptive testing for multiple traits in a proportional odds model with applications to detect SNP-brain network associations.

ABSTRACT: There has been increasing interest in developing more powerful and flexible statistical tests to detect genetic associations with multiple traits, as arising from neuroimaging genetic studies. Most of existing methods treat a single trait or multiple traits as response while treating an SNP as a predictor coded under an additive inheritance mode. In this paper, we follow an earlier approach in treating an SNP as an ordinal response while treating traits as predictors in a proportional odds model (POM). In this way, it is not only easier to handle mixed types of traits, e.g., some quantitative and some binary, but it is also potentially more robust to the commonly adopted additive inheritance mode. More importantly, we develop an adaptive test in a POM so that it can maintain high power acr

SUBMITTER: Kim J 

PROVIDER: S-EPMC5340645 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature