Back to search

Article

Model Checking via Testing for Direct Effects in Mendelian Randomization and Transcriptome-wide Association Studies

2021-07-10

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) using cis-...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
754085c2-2c7d-5daf-b5ae-86eb6fd0bf40
DOI
10.1101/2021.07.09.451811
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Model Checking via Testing for Direct Effects in Mendelian Randomization and Transcriptome-wide Association StudiesDOI 10.1101/2021.07.09.451811
Model checking via testing for direct effects in Mendelian Randomization and transcriptome-wide association studies.Semantic proximity
Mendelian randomization informs shared genetic etiology underlying exposure and outcome by interrogating correlated horizontal pleiotropySemantic proximity
MR-LDP: a two-sample Mendelian randomization for GWAS summary statistics accounting for linkage disequilibrium and horizontal pleiotropySemantic proximity
Mendelian randomization accounting for complex correlated horizontal pleiotropy while elucidating shared genetic etiology.Semantic proximity
MR-LDP: a two-sample Mendelian randomization for GWAS summary statistics accounting for linkage disequilibrium and horizontal pleiotropySemantic proximity
Testing the principles of Mendelian randomization: Opportunities and complications on a genomewide scaleSemantic proximity
Bayesian Mendelian Randomization Analysis for Latent Exposures Leveraging GWAS Summary Statistics for Traits Co-Regulated by the ExposuresSemantic proximity
Testing and controlling for horizontal pleiotropy with probabilistic Mendelian randomization in transcriptome-wide association studies.Semantic proximity
An iterative approach to detect pleiotropy and perform Mendelian Randomization analysis using GWAS summary statistics.Semantic proximity
Reciprocal causation mixture model for robust mendelian randomization analysis using genome-scale summary dataSemantic proximity
Integrating genetic data with biological insight: A practical guide to cis-Mendelian randomization.Semantic proximity
Enhancing Mendelian Randomization Causal Inference through Pleiotropic Clustering in the Presence of Correlated Horizontal PleiotropySemantic proximity
Select a neighboring publication to make it the new centre.