A semi-empirical Bayes approach for calibrating weak instrumental bias in sex-specific Mendelian randomization studies.

ABSTRACT: Strong sex differences exist in sleep phenotypes and also cardiovascular diseases (CVDs). However, sex-specific causal effects of sleep phenotypes on CVD-related outcomes have not been thoroughly examined. Mendelian randomization (MR) analysis is a useful approach for estimating the causal effect of a risk factor on an outcome of interest when interventional studies are not available. We first conducted sex-specific genome-wide association studies (GWASs) for suboptimal-sleep phenotypes (insomnia, obstructive sleep apnea [OSA], short and long sleep durations, and excessive daytime sleepiness) utilizing the Million Veteran Program (MVP) dataset. We then developed a semi-empirical Bayesian framework that (1) calibrates variant-phenotype effect estimates by leveraging information across sex g

SUBMITTER: Huang YJ 

PROVIDER: S-EPMC12416758 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature