Cited by 8,591Genetic Associations and EpidemiologyAdvanced Causal Inference TechniquesMeta-analysis and systematic reviews

Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases

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Verbanck, Marie, Chen, Chia-Yen, Neale, Benjamin, Do, Ron·2018·Nature Genetics

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Abstract

Horizontal pleiotropy occurs when the variant has an effect on disease outside of its effect on the exposure in Mendelian randomization (MR). Violation of the 'no horizontal pleiotropy' assumption can cause severe bias in MR. We developed the Mendelian randomization pleiotropy residual sum and outlier (MR-PRESSO) test to identify horizontal pleiotropic outliers in multi-instrument summary-level MR testing. We showed using simulations that the MR-PRESSO test is best suited when horizontal pleiotropy occurs in <50% of instruments. Next we applied the MR-PRESSO test, along with several other MR tests, to complex traits and diseases and found that horizontal pleiotropy (i) was detectable in over 48% of significant causal relationships in MR; (ii) introduced distortions in the causal estimates in MR that ranged on average from -131% to 201%; (iii) induced false-positive causal relationships in up to 10% of relationships; and (iv) could be corrected in some but not all instances.

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  • The MR-PRESSO global test found no significant P values for horizontal pleiotropy in the four studies used in the MR meta-analysis (UKB GWAX P = 0.07, UKB GWAS P = 0.20, FinnGen P = 0.84, GR@ACE P = 0.91, unadjusted for multiple comparisons).

    “We further used the MR-PRESSO global test49 to assess for horizontal pleiotropy and found no significant P values in the four studies used in the MR meta-analysis (UKB GWAX P = 0.07, UKB GWAS P = 0.20, FinnGen P = 0.84 and GR@ACE P = 0.91, all P values unadjusted for multiple comparisons).”

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  1. [25]Fox J & Long JS Modern methods of data analysis. (Sage Publications, 1990).

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Authors
Verbanck, M., Chen, C.-Y., Neale, B., & Do, R.
Affiliations
  • Icahn School of Medicine at Mount Sinai (US)
  • Broad Institute (US)
Corresponding author
  • Neale, Benjamin
  • Do, Ron
Venue
Nature Genetics
Published
2018-04-23
Volume
50
Issue
5
Pages
693-698
ISSN
  • 1061-4036 (ISSN-L)
  • 1546-1718
OpenAlex
W2803072880
Cited by
8,591
References
77
Citations by year
2026: 837 · 2025: 1873 · 2024: 2845 · 2023: 1422 · 2022: 743 · 2021: 441 · 2020: 252 · 2019: 136 · 2018: 35 · 2017: 3 · 2016: 1 · 2013: 1
FWCI
134.78
Type
journal article
Language
en
Open access
Licence
Locations
  • Nature Genetics (publishedVersion)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • American Heart Association (15CVGPSD27130014)
  • National Institutes of Health
  • National Heart, Lung, and Blood Institute (R01HL139865)
  • National Institute of Mental Health (R01MH107649, R01MH094469)
  • National Human Genome Research Institute (U01HG009088)
  • National Institute of General Medical Sciences (R35GM124836)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
Keywords
horizontal pleiotropy, Mendelian randomization, MR-PRESSO, causal inference, complex traits, disease, summary-level data
MeSH terms
Disease, Humans, Genetic Variation, Genetic Predisposition to Disease, Genetic Pleiotropy

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