Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2013 Jun 17;8(6):e66374.
doi: 10.1371/journal.pone.0066374. Print 2013.

Genetic polymorphism in PDE4D gene and risk of ischemic stroke in Chinese population: a meta-analysis

Affiliations

Genetic polymorphism in PDE4D gene and risk of ischemic stroke in Chinese population: a meta-analysis

Xu Liu et al. PLoS One. .

Abstract

Background: Stroke is the second most common cause of death and major cause of disability worldwide. The SNP 83 in PDE4D gene has been suggested as a risk factor in ischemic stroke, but direct evidence from genetic association studies remains inconclusive even in Chinese population.

Methods: Meta-analysis of case-control studies on the relationship between SNP 83 in PDE4D gene and susceptibility to ischemic stroke in Chinese population published domestically and abroad from January 2003 to September 2012.

Results: 9 case-control studies were selected. Meta-analysis results showed that the significant association between SNP 83 and ischemic stroke was found under the dominant model (OR = 1.34, 95% CI: 1.20-1.49) and recessive model (OR = 1.45, 95% CI: 1.19-1.76) in Chinese population. In subgroup meta-analysis, SNP 83 and atherothrombotic stroke, rather than lacunar stroke, showed the significant association under the dominant model (OR = 1.69, 95% CI: 1.41-2.01) and recessive model (OR = 1.47, 95% CI: 1.04-2.06).

Conclusions: The results suggest that SNP 83 in PDE4D gene is significantly associated with susceptibility to ischemic stroke in Chinese population.

PubMed Disclaimer

Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Figure 1
Figure 1. The flow diagram of study selection.
Figure 2
Figure 2. Forrest plot on the association between SNP 83 and ischemic stroke under the dominant model (CC+CT/TT).
Figure 3
Figure 3. Forrest plot on the association between SNP 83 and ischemic stroke under the recessive model (CC/CT+TT).
Figure 4
Figure 4. Sensitivity analysis on the association between SNP 83 and ischemic stroke under the dominant model(CC+CT/TT).
Figure 5
Figure 5. Sensitivity analysis on the association between SNP 83 and ischemic stroke under the recessive model (CC/CT+TT).
Figure 6
Figure 6. Subgroup analysis on the association between SNP 83 and ischemic stroke under the dominant model (CC+CT/TT).
Figure 7
Figure 7. Subgroup analysis on the association between SNP 83 and ischemic stroke under the recessive model (CC/CT+TT).
Figure 8
Figure 8. Funnel plot for studies investigating the effect of SNP 83 on the risk of ischemic stroke under the dominant (pane A) and recessive (pane B) models.

References

    1. Donnan GA, Fisher M, Macleod M, Davis SM (2008) Stroke. Lancet 371: 1612–1623. - PubMed
    1. Liu L, Wang D, Wong KS, Wang Y (2011) Stroke and stroke care in China: huge burden, significant workload, and a national priority. Stroke 42: 3651–3654. - PubMed
    1. Thrift AG, Dewey HM, Macdonell RA, McNeil JJ, Donnan GA (2001) Incidence of the major stroke subtypes: initial findings from the North East Melbourne stroke incidence study (NEMESIS). Stroke 32: 1732–1738. - PubMed
    1. Meschia JF, Worrall BB, Rich SS (2011) Genetic susceptibility to ischemic stroke. Nat Rev Neurol 7: 369–378. - PMC - PubMed
    1. Flossmann E, Schulz UG, Rothwell PM (2004) Systematic review of methods and results of studies of the genetic epidemiology of ischemic stroke. Stroke 35: 212–227. - PubMed

Publication types

Substances