Are myocardial infarction-associated single-nucleotide polymorphisms associated with ischemic stroke?

Yu Ching Cheng, Christopher D. Anderson, Silvia Bione, Keith Keene, Jane M. Maguire, Michael Nalls, Asif Rasheed, Marion Zeginigg, John Attia, Ross Baker, Simona Barlera, Alessandro Biffi, Ebony Bookman, Thomas G. Brott, Robert D. Brown, Fang Chen, Wei Min Chen, Emilio Ciusani, John W. Cole, Lynelle CortelliniJohn Danesh, Kimberly Doheny, Luigi Ferrucci, Maria Grazia Franzosi, Philippe Frossard, Karen L. Furie, Jonathan Golledge, Graeme J. Hankey, Dena Hernandez, Elizabeth G. Holliday, Fang Chi Hsu, Jim Jannes, Ayeesha Kamal, Muhammad Saleem Khan, Steven J. Kittner, Simon A. Koblar, Martin Lewis, Lisa Lincz, Antonella Lisa, Mar Matarin, Pablo Moscato, Josyf C. Mychaleckyj, Eugenio A. Parati, Silvia Parolo, Elizabeth Pugh, Natalia S. Rost, Michael Schallert, Helena Schmidt, Rodney J. Scott, Jonathan W. Sturm, Sunaina Yadav, Moazzam Zaidi, Giorgio B. Boncoraglio, Christopher Royce Levi, James F. Meschia, Jonathan Rosand, Michele Sale, Danish Saleheen, Reinhold Schmidt, Pankaj Sharma, Bradford Worrall, Braxton D. Mitchell

Research output: Contribution to journalArticlepeer-review

21 Scopus citations


Background and Purpose-Ischemic stroke (IS) shares many common risk factors with coronary artery disease (CAD). We hypothesized that genetic variants associated with myocardial infarction (MI) or CAD may be similarly involved in the etiology of IS. To test this hypothesis, we evaluated whether single-nucleotide polymorphisms (SNPs) at 11 different loci recently associated with MI or CAD through genome-wide association studies were associated with IS. Methods-Meta-analyses of the associations between the 11 MI-associated SNPs and IS were performed using 6865 cases and 11 395 control subjects recruited from 9 studies. SNPs were either genotyped directly or imputed; in a few cases a surrogate SNP in high linkage disequilibrium was chosen. Logistic regression was performed within each study to obtain study-specific βs and standard errors. Meta-analysis was conducted using an inverse variance weighted approach assuming a random effect model. Results-Despite having power to detect odds ratio of 1.09-1.14 for overall IS and 1.20-1.32 for major stroke subtypes, none of the SNPs were significantly associated with overall IS and/or stroke subtypes after adjusting for multiple comparisons. Conclusions-Our results suggest that the major common loci associated with MI risk do not have effects of similar magnitude on overall IS but do not preclude moderate associations restricted to specific IS subtypes. Disparate mechanisms may be critical in the development of acute ischemic coronary and cerebrovascular events.

Original languageEnglish (US)
Pages (from-to)980-986
Number of pages7
Issue number4
StatePublished - Apr 2012


  • cerebral infarct
  • genetics
  • ischemia

ASJC Scopus subject areas

  • Clinical Neurology
  • Cardiology and Cardiovascular Medicine
  • Advanced and Specialized Nursing


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