M-DATA: A statistical approach to jointly analyzing de novo mutations for multiple traits.

ABSTRACT: Recent studies have demonstrated that multiple early-onset diseases have shared risk genes, based on findings from de novo mutations (DNMs). Therefore, we may leverage information from one trait to improve statistical power to identify genes for another trait. However, there are few methods that can jointly analyze DNMs from multiple traits. In this study, we develop a framework called M-DATA (Multi-trait framework for De novo mutation Association Test with Annotations) to increase the statistical power of association analysis by integrating data from multiple correlated traits and their functional annotations. Using the number of DNMs from multiple diseases, we develop a method based on an Expectation-Maximization algorithm to both infer the degree of association between two diseases as w

SUBMITTER: Xie Y 

PROVIDER: S-EPMC8568192 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature