LGALS2 functional variant rs7291467 is not associated with susceptibility to myocardial infarction in Caucasians

Mangino, Massimo; Braund, Peter; Singh, Ravi; Steeds, Rick; Thompson, John R.; Channer, Kevin; Samani, Nilesh J.

doi:10.1016/j.atherosclerosis.2006.10.004

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Volume 194, Issue 1 , Pages 112-115, September 2007

LGALS2 functional variant rs7291467 is not associated with susceptibility to myocardial infarction in Caucasians

Massimo Mangino
- Department of Cardiovascular Sciences, University of Leicester, Clinical Sciences Wing, Glenfield Hospital, Groby Road, Leicester LE3 9QP, UK
- Corresponding author. Tel.: +44 116 256 3048; fax: +44 116 287 5792.
Peter Braund
- Department of Cardiovascular Sciences, University of Leicester, Clinical Sciences Wing, Glenfield Hospital, Groby Road, Leicester LE3 9QP, UK
Ravi Singh
- Department of Cardiovascular Sciences, University of Leicester, Clinical Sciences Wing, Glenfield Hospital, Groby Road, Leicester LE3 9QP, UK
Rick Steeds
- Department of Cardiology, Royal Hallamshire Hospital, Sheffield, UK
John R. Thompson
- Departments of Health Sciences, University of Leicester, Leicester, UK
Kevin Channer
- Department of Cardiology, Royal Hallamshire Hospital, Sheffield, UK
Nilesh J. Samani
- Department of Cardiovascular Sciences, University of Leicester, Clinical Sciences Wing, Glenfield Hospital, Groby Road, Leicester LE3 9QP, UK

Received 7 August 2006; received in revised form 3 October 2006; accepted 6 October 2006. published online 15 November 2006.

Abstract

Myocardial infarction (MI) is currently among the leading causes of death in the developed world. A functional SNP (rs7291467) in galectin-2 (LGALS2), a protein involved in the LTA cascade, has been associated with susceptibility to MI in the Japanese population. We explored for the first time the hypothesis that the same SNP could be associated with the risk of MI in the British population.

We conducted a case–control association study on a cohort of 752 British MI patients and 705 population controls. Power calculations showed that our resource had 98% of power to detect a significant association at OR of 1.57, and 80% power to detect an association with an OR of 1.35 (recessive model). Despite this, we found no significant association of allele frequency with risk of MI. Stratification for age, gender and other cardiovascular risk factors also failed to reveal an association of this polymorphism with MI.

Keywords: Myocardial infarction, LGALS2