Assessment and visualization of phenome-wide causal relationships using genetic data: an application to dental caries and periodontitis.

ABSTRACT: Hypothesis-free Mendelian randomization studies provide a way to assess the causal relevance of a trait across the human phenome but can be limited by statistical power, sample overlap or complicated by horizontal pleiotropy. The recently described latent causal variable (LCV) approach provides an alternative method for causal inference which might be useful in hypothesis-free experiments across human phenome. We developed an automated pipeline for phenome-wide tests using the LCV approach including steps to estimate partial genetic causality, filter to a meaningful set of estimates, apply correction for multiple testing and then present the findings in a graphical summary termed causal architecture plot. We apply this pipeline to body mass index (BMI) and lipid traits as exemplars of trai

SUBMITTER: Haworth S 

PROVIDER: S-EPMC7868372 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature