Article

Improving the accuracy of two-sample summary data Mendelian randomization: moving beyond the NOME assumption

2017-07-05

Abstract excerpt

<h4>Background</h4> Two-sample summary data Mendelian randomization (MR) incorporating multiple genetic variants within a meta-analysis framework is a popular technique for assessing causality in epidemiology. If all genetic variants satisfy the instrumental variable (IV) and necessary modelling assumptions, then their individual ratio estimates of causal effect should be homogeneous. Observed heterogeneity signa...

Topics

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

Identifiers and source

Literature Corpus work: 5300c7bf-9b12-5eda-9d7b-961aed8e5788
DOI: 10.1101/159442

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Improving the accuracy of two-sample summary data Mendelian randomization: moving beyond the NOME assumptionDOI 10.1101/159442Read

Assessing the suitability of summary data for two-sample Mendelian randomization analyses using MR-Egger regression: the role of the I2 statistic.Semantic proximity Read

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

Improving on a modal-based estimation method: model averaging for consistent and efficient estimation in Mendelian randomization when a plurality of candidate instruments are validSemantic proximity Read

Approximation of bias and mean-squared error in two-sample Mendelian randomization analyses.Semantic proximity Read

Effect of selection bias on two sample summary data based Mendelian randomization.Semantic proximity Read

A Modified Debiased Inverse-Variance Weighted Estimator in Two-Sample Summary-Data Mendelian Randomization.Semantic proximity Read

Re-evaluating the robustness of Mendelian randomisation to measurement errorSemantic proximity Read

Bias correction for inverse variance weighting Mendelian randomization.Semantic proximity Read

Best (but oft-forgotten) practices: the design, analysis, and interpretation of Mendelian randomization studies.Semantic proximity Read

Nonparametric bounds in two-sample summary-data Mendelian randomization: Some cautionary tales for practice.Semantic proximity Read

Exploiting collider bias to apply two-sample summary data Mendelian randomization methods to one-sample individual level data.Semantic proximity Read

Falsification of the instrumental variable conditions in Mendelian randomization studies in the UK Biobank.Semantic proximity Read