Cited by 32Migraine and Headache StudiesGenetic Associations and EpidemiologyCardiovascular and Diving-Related Complications

Effect of genetic liability to migraine on coronary artery disease and atrial fibrillation: a Mendelian randomization study

Daghlas, I., Guo, Y., Chasman, D. I.·2020·European Journal of Neurology

Abstract

Background and purpose: Observational studies have implicated migraine as a risk factor for coronary artery disease (CAD) and atrial fibrillation (AF); however, it is unclear whether migraine is causal in this relationship. Potential causality between genetically instrumented liability to migraine and cardiovascular disease outcomes was investigated using two‐sample Mendelian randomization. Methods: The exposure comprised 35 independent, genome‐wide significant genetic variants identified in the largest published genome‐wide association study of migraine (Ncases = 59 674/Ncontrols = 316 078). The outcome datasets included genome‐wide association studies of CAD (76 014/264 785), myocardial infarction (43 676/128 199), angina (10 618/326 065) and AF (60 620/970 216). Mendelian randomization estimates were calculated using inverse‐variance weighted regression, and were further assessed with conventional Mendelian randomization sensitivity analyses. Results: Evidence was found for a protective effect of migraine liability on CAD (odds ratio 0.86, 95% confidence interval 0.76–0.96, P = 0.003), myocardial infarction (0.86, 0.74–0.96, P = 0.01) and angina (0.86, 0.75–0.99, P = 0.04), but not on AF (1.00, 0.95–1.05, P = 0.88). Analyses by migraine subtype showed an effect of liability to migraine without aura on CAD risk (0.91, 0.84–0.99, P = 0.014), but not of migraine with aura (1.00, 0.97–1.03, P = 0.89). Sensitivity analyses indicated minimal bias by horizontal pleiotropy, outliers, reverse causality or sample overlap. Conclusions: A potentially protective effect of genetically instrumented liability to migraine on CAD risk was identified. Mechanistic research investigating this link is warranted.

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Crossref · 10.1111/ene.14111

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  • In two sample MR studies with exposure samples containing only a small number of participants who have experienced the exposure, the causal effect estimate reflects the effects of the genetic liability to the exposure rather than the exposure itself.

    “For example, when two sample MR studies are carried out in exposure samples that contain only a small number of participants who have experienced the exposure in question, it would be misleading to interpret the effects as being those of the exposure itself. Instead, the causal effect estimate should be interpreted as reflecting the effects of the genetic liability to the exposure.115 116”

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References 34 · Cited by 32

Authors
Daghlas, I., Guo, Y., & Chasman, D. I.
Affiliations
Brigham and Women's Hospital (US)
Corresponding author
  • Daghlas, I.
  • Chasman, D. I.
Venue
European Journal of Neurology
Publisher
Wiley
Published
2019-11-25
Volume
27
Issue
3
Pages
550-556
ISSN
  • 1351-5101 (ISSN-L)
  • 1468-1331
OpenAlex
W2982490410
Cited by
32
References
34
Citations by year
2026: 2 · 2025: 3 · 2024: 10 · 2023: 4 · 2022: 4 · 2021: 5 · 2020: 4
FWCI
2.59
Type
journal article
Language
en
Open access
closed
Locations
  • European Journal of Neurology (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Institute of Neurological Disorders and Stroke (R21NS09296, R21NS104398)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Migraine and Headache Studies
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Cardiovascular and Diving-Related Complications
Keywords
migraine, coronary artery disease, atrial fibrillation, myocardial infarction, angina pectoris, migraine with aura, migraine without aura, cardiovascular risk
MeSH terms
Angina Pectoris, Atrial Fibrillation, Coronary Artery Disease, Humans, Migraine Disorders, Myocardial Infarction, Genetic Variation, Causality, Databases, Factual, Genetic Predisposition to Disease, Migraine with Aura, Migraine without Aura, Polymorphism, Single Nucleotide, Genome-Wide Association Study, Mendelian Randomization Analysis

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