Article

Mendelian Randomization Analysis Using Multiple Biomarkers of an Underlying Common Exposure

2021-02-07

Abstract excerpt

<h4> S ummary </h4> Mendelian Randomization (MR) analysis is increasingly popular for testing the causal effect of exposures on disease outcomes using data from genome-wide association studies. In some settings, the underlying exposure, such as systematic inflammation, may not be directly observable, but measurements can be available on multiple biomarkers or other types of traits that are coregulated by the ex...

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Literature Corpus work: e507ca3a-a6f5-5398-9c3b-c14c71c74e3d
DOI: 10.1101/2021.02.05.429979

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