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Are Myocardial Infarction–Associated Single-Nucleotide Polymorphisms Associated With Ischemic Stroke?

Authors :
Lynelle Cortellini
Simona Barlera
Maria Grazia Franzosi
Eugenio Parati
Ayeesha Kamran Kamal
Danish Saleheen
Luigi Ferrucci
Jonathan Golledge
Giorgio B. Boncoraglio
Antonella Lisa
Martin Lewis
Christopher D. Anderson
Silvia Parolo
Muhammad Saleem Khan
Thomas G. Brott
Simon A. Koblar
Reinhold Schmidt
John W. Cole
Elizabeth G. Holliday
Braxton D. Mitchell
Jonathan Rosand
Asif Rasheed
Michael Schallert
Jonathan Sturm
Pablo Moscato
Mike A. Nalls
Silvia Bione
Mar Matarin
Lisa F. Lincz
Kimberly F. Doheny
Philippe M. Frossard
Ross I. Baker
Rodney J. Scott
Natalia S. Rost
Marion Zeginigg
Graeme J. Hankey
Robert D. Brown
Wei-Min Chen
Dena G. Hernandez
Emilio Ciusani
James F. Meschia
Fang Chen
Alessandro Biffi
Bradford B. Worrall
Elizabeth W. Pugh
John Danesh
Fang-Chi Hsu
Christopher R Levi
Jim Jannes
Steven J. Kittner
Helena Schmidt
Michèle M. Sale
Josyf C. Mychaleckyj
Moazzam Zaidi
Pankaj Sharma
Karen L. Furie
Yu-Ching Cheng
Jane Maguire
John Attia
Sunaina Yadav
Keith L. Keene
Ebony Bookman
Publication Year :
2012

Abstract

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.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....ad320243bb3ad524f9a186af68997313