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Article

Model checking via testing for direct effects in Mendelian Randomization and transcriptome-wide association studies.

PLoS computational biology - 1 Aug 2021

Deng Yangqing, Pan Wei

Abstract excerpt

It is of great interest and potential to discover causal relationships between pairs of exposures and outcomes using genetic variants as instrumental variables (IVs) to deal with hidden confounding in observational studies. Two most popular approaches are Mendelian randomization (MR), which usually use independent genetic variants/SNPs across the genome, and transcriptome-wide association studies (TWAS) (or their...

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Identifiers

PMID: 34339418
DOI: 10.1371/journal.pcbi.1009266
PMCID: PMC8360571

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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