Evidence map›Paper›PMID 27061298›Full record

ArticleGenetic epidemiology2016

Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator.

Jack Bowden, George Davey Smith, Philip C Haycock, Stephen Burgess

Open access · hybridAbstract read
In one paragraph

Article in Genetic epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5,458 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5,458citing papers in PubMed, 7 pooled it
169.9field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5,458 citing papers in PubMed, 7 syntheses or guidelines pooled it, 9,387 citations in OpenAlex.

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  4. The Impact of Omega Fatty Acids on DKD: A Multimodal Study Integrating Mendelian Randomization, Proteomic Mediation Analysis, and Meta-Analysis.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Pooled it
  5. Does illicit drug use increase stroke risk? A systematic review, meta-analyses, and Mendelian randomization analysis.International journal of stroke : official journal of the International Stroke Society · 2026
    Pooled it
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  7. Use of Mendelian Randomization to Unveil Metabolic Markers inJournal of Korean medical science · 2026
    Pooled it
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5,398 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Jack BowdenIntegrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.
George Davey SmithIntegrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.
Philip C HaycockIntegrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.
Stephen BurgessDepartment of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom.
University of Bristol · GBUniversity of Cambridge · GB

Funding

British Heart Foundation RG/08/014/24067British Heart Foundation RG/13/13/30194Cancer Research UKMedical Research Council G0800270Medical Research Council MC_UU_00002/7Medical Research Council MC_UU_12013/1Medical Research Council MR/L003120/1Medical Research Council MR/N501906/1Wellcome Trust 100114
6 · The paper itself

Abstract

Developments in genome-wide association studies and the increasing availability of summary genetic association data have made application of Mendelian randomization relatively straightforward. However, obtaining reliable results from a Mendelian randomization investigation remains problematic, as the conventional inverse-variance weighted method only gives consistent estimates if all of the genetic variants in the analysis are valid instrumental variables. We present a novel weighted median estimator for combining data on multiple genetic variants into a single causal estimate. This estimator is consistent even when up to 50% of the information comes from invalid instrumental variables. In a simulation analysis, it is shown to have better finite-sample Type 1 error rates than the inverse-variance weighted method, and is complementary to the recently proposed MR-Egger (Mendelian randomization-Egger) regression method. In analyses of the causal effects of low-density lipoprotein cholesterol and high-density lipoprotein cholesterol on coronary artery disease risk, the inverse-variance weighted method suggests a causal effect of both lipid fractions, whereas the weighted median and MR-Egger regression methods suggest a null effect of high-density lipoprotein cholesterol that corresponds with the experimental evidence. Both median-based and MR-Egger regression methods should be considered as sensitivity analyses for Mendelian randomization investigations with multiple genetic variants.

Indexed as

Cholesterol, HDLCholesterol, LDLCoronary Artery DiseaseGenetic Predisposition to DiseaseGenetic VariationGenome-Wide Association StudyHumansMendelian Randomization AnalysisModels, GeneticRegression AnalysisResearch DesignCholesterol, HDLCholesterol, LDLEgger regressioninstrumental variablesMendelian randomizationpleiotropyrobust statistics

Identifiers

PMID27061298
PMCPMC4849733
OpenAlexW2324862792

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.