Evidence map›Paper›PMID 32081875›Full record

ArticleNature communications2020

Exploiting horizontal pleiotropy to search for causal pathways within a Mendelian randomization framework.

Yoonsu Cho, Philip C Haycock, Eleanor Sanderson, Tom R Gaunt, Jie Zheng, Andrew P Morris, George Davey Smith, Gibran Hemani

Abstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed, 4 pooled it
–field-weighted citation impact
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

84 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Multi-Ancestry Mendelian Randomization Reveals Lipid-Associated Genetic Risk Factors for COPD.International journal of chronic obstructive pulmonary disease · 2025
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  12. Bidirectional Association between Atrial Fibrillation and Ovarian Cancer: Evidence from the UK Biobank and Mendelian Randomization.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
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24 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

8 authors.

Yoonsu ChoMRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK.ORCID http://orcid.org/0000-0001-6118-6652
Philip C HaycockMRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK.
Eleanor SandersonMRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK.ORCID http://orcid.org/0000-0001-5188-5775
Tom R GauntMRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK.ORCID http://orcid.org/0000-0003-0924-3247
Jie ZhengMRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK.
Andrew P MorrisDepartment of Biostatistics, University of Liverpool, Liverpool, L69 3GL, UK.
George Davey SmithMRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK.ORCID http://orcid.org/0000-0002-1407-8314
Gibran HemaniMRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK. g.hemani@bristol.ac.uk.ORCID http://orcid.org/0000-0003-0920-1055

Funding

Medical Research Council MC_UU_00011/1Medical Research Council MC_UU_00011/4Wellcome Trust
6 · The paper itself

Abstract

In Mendelian randomization (MR) analysis, variants that exert horizontal pleiotropy are typically treated as a nuisance. However, they could be valuable in identifying alternative pathways to the traits under investigation. Here, we develop MR-TRYX, a framework that exploits horizontal pleiotropy to discover putative risk factors for disease. We begin by detecting outliers in a single exposure-outcome MR analysis, hypothesising they are due to horizontal pleiotropy. We search across hundreds of complete GWAS summary datasets to systematically identify other (candidate) traits that associate with the outliers. We develop a multi-trait pleiotropy model of the heterogeneity in the exposure-outcome analysis due to pathways through candidate traits. Through detailed investigation of several causal relationships, many pleiotropic pathways are uncovered with already established causal effects, validating the approach, but also alternative putative causal pathways. Adjustment for pleiotropic pathways reduces the heterogeneity across the analyses.

Indexed as

Genetic PleiotropyMendelian Randomization AnalysisModels, GeneticCausalityComputer SimulationDatabases, GeneticDiseaseGenetic VariationGenome-Wide Association StudyHumansPhenotypePolymorphism, Single NucleotideRisk Factors

Identifiers

PMID32081875
PMCPMC7035387

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LicenceCC BY
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Registered trials

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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.