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J Neurol Neurosurg Psychiatry 1998;64:227-230 doi:10.1136/jnnp.64.2.227
  • Paper

Meta-analysis of the ACE gene in ischaemic stroke

  1. Pankaj Sharma
  1. Gonville and Caius College, University of Cambridge, Cambridge CB2 1TA, UK
  1. Dr Pankaj Sharma, Clinical Pharmacology Unit, University of Cambridge, Addenbrooke’s Hospital, Cambridge CB2 2QQ, England, UK. Telephone 0044 1223 336739; fax 0044 1223 216893; email: ps100{at}hgmp.mrc.ac.uk
  • Received 12 May 1997
  • Revised 8 July 1997
  • Accepted 9 July 1997

Abstract

OBJECTIVES The angiotensin-1 converting enzyme (ACE) gene is known to have two polymorphic alleles I/D. People with the DD genotype have been shown to be at greater risk of myocardial infarction, but only in some studies. Similar studies in stroke patients also show inconsistent results, but most of these studies have been underpowered to detect a small contribution to stroke risk from the ACE gene. A meta-analysis was undertaken using all known publications of the ACE polymorphism in ischaemic stroke.

METHODS Two computerised databases were searched for all publications relating to case-control studies using the ACE I/D variant in human ischaemic stroke. Seven association studies were identified and a meta-analysis was conducted using the Mantel-Haenszel estimate for odds ratio (OR) to determine whether the DD genotype predicted outcome in either a genetically dominant or recessive model.

RESULTS 1918 white subjects (1196 cases and 722 controls) were used in the meta-analysis. There was no difference in ACE genotype (χ2=2.92, p>0.05) or I/D allele frequency (χ2=3.28, p>0.05) in cases or controls. The overall OR for the D allele as an independent risk factor in ischaemic stroke was 1.31 (95% confidence interval (95% CI): 1.06–1.62, p=0.01) under a recessive model, and 1.14 (95% CI: 0.91–1.44, p=0.26) under a dominant model.

CONCLUSIONS This meta-analysis shows that the the D allele, acting recessively, is a modest but independent risk factor for ischaemic stroke onset. Meta-analysis may usefully be employed in allelic association studies for detecting small attributable risks of candidate genes in polygenic disorders.

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