Cited by 1,222Genetic Associations and EpidemiologyAdvanced Causal Inference TechniquesStatistical Methods in Epidemiology

Mendelian randomization: prospects, potentials, and limitations

Smith, G. D.·2004·International Journal of Epidemiology

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Crossref · 10.1093/ije/dyh132

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118 of 118 references verified0 citation errors · 0 not checkable

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  • The essence of an MR design is that the association between a genetic variant (G) and an outcome (Y) can be used to test whether and by how much the exposure of interest (X) influences the outcome, provided that the genetic variant is associated with the exposure of interest and has no other source of association with the outcome.

    “The essence of an MR design is that the association between a genetic variant (G) and an outcome (Y) can be used to test whether and by how much the exposure of interest (X) influences the outcome, provided that the genetic variant is associated with the exposure of interest and has no other source of association with the outcome.1,9”

    From Mendelian randomization (2022) · cites this paper as [9]

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Authors
Smith, G. D.
Affiliations
University of Bristol (GB)
Corresponding author
Smith, G. D.
Venue
International Journal of Epidemiology
Published
2004-02-01
Volume
33
Issue
1
Pages
30-42
ISSN
  • 0300-5771 (ISSN-L)
  • 1464-3685
OpenAlex
W2102011776
Cited by
1,222
References
118
Citations by year
2026: 58 · 2025: 123 · 2024: 176 · 2023: 102 · 2022: 57 · 2021: 53 · 2020: 54 · 2019: 52 · 2018: 52 · 2017: 45 · 2016: 49 · 2015: 45 · 2014: 39 · 2013: 38 · 2012: 43
FWCI
16.53
Type
journal article
Language
en
Open access
closed
Locations
  • International Journal of Epidemiology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
Keywords
Mendelian randomization, causal inference, genetic variants, confounding, causal effect estimation
MeSH terms
Calcium, Dietary, Coronary Disease, Environmental Exposure, Genotype, Humans, Hyperlipoproteinemia Type II, Lactose Intolerance, Neoplasms, Phenotype, Risk Factors, Tuberculosis, Causality, Genetic Predisposition to Disease

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