136
Views
1
CrossRef citations to date
0
Altmetric
Human Biological Survey

A study on the association of rs7950273 polymorphism in the PDGFD with ischaemic stroke in the Chinese Han population

, , , , , , , & show all
Pages 78-80 | Received 18 May 2014, Accepted 04 Feb 2015, Published online: 11 Sep 2015
 

Abstract

Background: The association between the platelet-derived growth factor D (PDGFD) gene and atherosclerosis has been widely proven, whereas the relationship between the PDGFD gene and ischaemic stroke remains unconfirmed.

Aim: A case-control study was performed to further evaluate the association of the C → G mutation of rs7950273 in the PDGFD gene with ischaemic stroke (IS) in a Chinese Han population.

Subjects and methods: This study recruited 3033 cases and 2807 controls from general hospitals in the southern, central and northern areas of China. The MGB probe and Taqman 7900HT Sequence Detection System were applied for genotyping.

Results: Genotype was not significantly associated with ischaemic stroke in total. After adjustment for gender, age, BMI, hypertension, diabetes mellitus and smoking, the CG and GG genotypes were still not associated with ischaemic stroke (p = 0.892 and p = 0.582 for CG and GG, respectively).

Conclusion: This study suggests that the polymorphism of rs7950273 in the PDGFD gene is not associated with ischaemic stroke in the Chinese Han population. Further studies on the gene–gene and gene–environment interactions for the PDGFD gene and ischaemic stroke are needed.

Declaration of interest

The authors report no conflicts of interest. The authors alone are responsible for the content and writing of this article.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access
  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart
* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.