Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Extending the MR-Egger method for multivariable Mendelian randomization to correct for both measured and unmeasured pleiotropy.

Statistics in medicine - 20 Dec 2017

Rees Jessica M B, Wood Angela M, Burgess Stephen

Abstract excerpt

Methods have been developed for Mendelian randomization that can obtain consistent causal estimates while relaxing the instrumental variable assumptions. These include multivariable Mendelian randomization, in which a genetic variant may be associated with multiple risk factors so long as any association with the outcome is via the measured risk factors (measured pleiotropy), and the MR-Egger (Mendelian...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Causality
Share to Cholesterol, HDL
Share to Computer Simulation

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Coronary Disease

Share to Genetic Pleiotropy

Share to Mendelian Randomization Analysis

Share to Multivariate Analysis

Share to Risk Factors

Source

Open in PubMed Open full text

Identifiers

PMID: 28960498
DOI: 10.1002/sim.7492
PMCID: PMC5725762

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Extending the MR-Egger method for multivariable Mendelian randomization to correct for both measured and unmeasured pleiotropy.PMID 28960498Read ↗

A Bayesian approach to Mendelian randomization using summary statistics in the univariable and multivariable settings with correlated pleiotropySemantic proximity Read ↗

Multivariable Mendelian randomization: the use of pleiotropic genetic variants to estimate causal effects.Semantic proximity Read ↗

MRBEE: A bias-corrected multivariable Mendelian randomization method.Semantic proximity Read ↗

A robust penalized-regression-based method for multivariable Mendelian randomization using GWAS summary statisticsSemantic proximity Read ↗

Interpreting findings from Mendelian randomization using the MR-Egger method.Semantic proximity Read ↗

MR-LDP: a two-sample Mendelian randomization for GWAS summary statistics accounting for linkage disequilibrium and horizontal pleiotropySemantic proximity Read ↗

Pleiotropy-robust Mendelian randomization.Semantic proximity Read ↗

An efficient and robust approach to Mendelian randomization with measured pleiotropic effects in a high-dimensional setting.Semantic proximity Read ↗

MRCIP: a robust Mendelian randomization method accounting for correlated and idiosyncratic pleiotropy.Semantic proximity Read ↗

Robust inference in summary data Mendelian randomisation via the zero modal pleiotropy assumptionSemantic proximity Read ↗

MR-LDP: a two-sample Mendelian randomization for GWAS summary statistics accounting for linkage disequilibrium and horizontal pleiotropySemantic proximity Read ↗

Efficient Mendelian randomization analysis with self-adaptive determination of sample structure and multiple pleiotropic effects.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.