Cited by 3,485Genetic Associations and EpidemiologyAdvanced Causal Inference TechniquesMeta-analysis and systematic reviews

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Robust inference in summary data Mendelian randomization via the zero modal pleiotropy assumption

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Hartwig, Fernando Pires, Davey Smith, George, Bowden, Jack·2017·International Journal of Epidemiology

DOI 10.1093/ije/dyx102PMC PMC5837715

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Abstract

Background: Mendelian randomization (MR) is being increasingly used to strengthen causal inference in observational studies. Availability of summary data of genetic associations for a variety of phenotypes from large genome-wide association studies (GWAS) allows straightforward application of MR using summary data methods, typically in a two-sample design. In addition to the conventional inverse variance weighting (IVW) method, recently developed summary data MR methods, such as the MR-Egger and weighted median approaches, allow a relaxation of the instrumental variable assumptions. Methods: Here, a new method - the mode-based estimate (MBE) - is proposed to obtain a single causal effect estimate from multiple genetic instruments. The MBE is consistent when the largest number of similar (identical in infinite samples) individual-instrument causal effect estimates comes from valid instruments, even if the majority of instruments are invalid. We evaluate the performance of the method in simulations designed to mimic the two-sample summary data setting, and demonstrate its use by investigating the causal effect of plasma lipid fractions and urate levels on coronary heart disease risk. Results: The MBE presented less bias and lower type-I error rates than other methods under the null in many situations. Its power to detect a causal effect was smaller compared with the IVW and weighted median methods, but was larger than that of MR-Egger regression, with sample size requirements typically smaller than those available from GWAS consortia. Conclusions: The MBE relaxes the instrumental variable assumptions, and should be used in combination with other approaches in sensitivity analyses.

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Authors: Hartwig, F. P., Davey Smith, G., & Bowden, J.
Affiliations: Universidade Federal de Pelotas (BR)
MRC Integrative Epidemiology Unit and
University of Bristol (GB)
Corresponding author: Hartwig, Fernando Pires
ORCID: Hartwig, Fernando Pires
Bowden, Jack
Venue: International Journal of Epidemiology
Publisher: Oxford University Press (OUP)
Published: 2017-07-12
Volume: 46
Issue: 6
Pages: 1985-1998
ISSN: 0300-5771 (ISSN-L)
1464-3685
DOI: 10.1093/ije/dyx102
PMC: PMC5837715
OpenAlex: W2613603864
Cited by: 3,485
References: 28
Citations by year: 2026: 387 · 2025: 798 · 2024: 1094 · 2023: 475 · 2022: 231 · 2021: 226 · 2020: 119 · 2019: 88 · 2018: 53 · 2017: 12
FWCI: 49.57
Type: journal article
Language: en
Open access: hybrid
doi.org
Licence: cc-by
Locations: International Journal of Epidemiology (publishedVersion, cc-by)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
Bristol Research (University of Bristol) (submittedVersion, cc-by)
Explore Bristol Research (submittedVersion, cc-by)
Funders: University of Bristol (MC_UU_12013/9)
Medical Research Council (MC_UU_12013, MR/N501906/1, MC_UU_12013/9)
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: Mendelian randomization, summary data, invalid instruments, causal effect estimation, MR-Egger, weighted median, inverse variance weighting, plasma lipids, uric acid, coronary artery disease, sensitivity analysis
MeSH terms: Humans, Models, Statistical, Causality, Sample Size, Genome-Wide Association Study, Mendelian Randomization Analysis, Genetic Pleiotropy

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Robust inference in summary data Mendelian randomization via the zero modal pleiotropy assumption

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