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Variants in the VCAM1 gene and risk for symptomatic stroke in sickle cell disease

James G Taylor1, Delia C Tang, Sharon A Savage

  • 1Section on Genomic Variation, Pediatric Oncology Branch, National Cancer Institute, National Institutes of Health, Gaithersburg, MD 20877, USA.

Blood
|October 24, 2002
PubMed

Insights

Genetic variations in the VCAM1 gene may influence stroke risk in sickle cell disease patients. A specific VCAM1 SNP (G1238C) showed potential protective effects against stroke in a pilot study.

Area of Science:

  • Genetics
  • Hematology
  • Molecular Biology

Background:

  • Stroke is a significant complication in sickle cell (SS) disease, impacting morbidity and mortality.
  • Genetic factors are suspected to influence the risk of developing stroke in SS disease patients.
  • VCAM1, a cell adhesion molecule, is implicated in the pathogenesis of SS disease.

Purpose of the Study:

  • To investigate single nucleotide polymorphisms (SNPs) in the VCAM1 gene as potential genetic risk factors for stroke in sickle cell disease.
  • To identify specific VCAM1 variants that may modify stroke risk in SS disease.

Main Methods:

  • Sequencing of the VCAM1 locus, including coding, upstream, downstream, and intronic regions, to identify SNPs.
  • Determination of allelic frequencies for selected SNPs in a healthy population.
  • Genetic association study analyzing 10 candidate VCAM1 SNPs in a cohort of SS disease patients with and without stroke.

Main Results:

  • A total of 33 SNPs were identified in the VCAM1 locus.
  • The variant allele of the nonsynonymous SNP, VCAM1 G1238C, was associated with a reduced risk of stroke (OR 0.35, 95% CI 0.15-0.83, P =.04).
  • This finding suggests a potential protective role of this VCAM1 variant against stroke in SS disease.

Conclusions:

  • The VCAM1 G1238C SNP may be a protective genetic factor against stroke in sickle cell disease.
  • Further research is needed to validate the role of this VCAM1 variant as a clinical modifier of stroke risk in SS disease.
  • Identifying genetic modifiers could lead to improved stroke risk prediction and prevention strategies in SS disease.

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