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Article

A Novel Penalized Inverse-Variance Weighted Estimator for Mendelian Randomization with Applications to COVID-19 Outcomes

2021-09-27

Abstract excerpt

<h4>S ummary </h4> Mendelian randomization (MR) utilizes genetic variants as instrumental variables (IVs) to estimate the causal effect of an exposure variable on an outcome of interest even in the presence of unmeasured confounders. However, the popular inverse-variance weighted (IVW) estimator could be biased in the presence of weak IVs, a common challenge in MR studies. In this article, we develop a novel penal...

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Literature Corpus work
3ffb7ff6-c16d-5cea-ad29-34dfbb771c4e
DOI
10.1101/2021.09.25.21264115
Open publication

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A Novel Penalized Inverse-Variance Weighted Estimator for Mendelian Randomization with Applications to COVID-19 OutcomesDOI 10.1101/2021.09.25.21264115
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