Recent findings suggests that PDE4D (gene encoding phosphodiesterase 4D) is a stroke-related gene in the Icelandic population, but it is still very controversial as to whether it is a susceptible gene for stroke in other populations. In the present study, we attempted to explore the role of the gene in the pathogenesis of stroke in the Chinese Han population of eastern China. A total of 649 ischaemic stroke patients and 761 unrelated control individuals with no history of stroke or transient ischaemic attack were examined in a case-control study. Four SNPs (single nucleotide polymorphisms) rs152312 (C/T), SNP56 (A/T), SNP83 (C/T) and SNP87 (C/T) with a minor allele frequency over 5% were genotyped and the corresponding haplotypes were constructed. In an analysis of the combined cardiogenic and carotid stroke group, both the allele (P=0.0060) and genotype (P=0.0160) frequencies between cases and controls at SNP83 showed significant differences. However, no difference in haplotype frequencies was observed between cases and controls at rs152312 and SNP56. In the analysis of the small-artery-occlusive stroke group, no difference in allele or genotype frequencies was observed at any marker between cases and controls; the global haplotype frequency in rs152312 and SNP56 had a significant difference between cases and controls (P=0.0162); the frequency of haplotype C-A was higher in cases than in controls (P=0.0122). In conclusion, our present findings show that polymorphisms in the PDE4D gene are associated with an increased risk of ischaemic stroke in the Chinese Han population. The present study adds further support to the role of PDE4D in stroke.
Association between the PDE4D gene and ischaemic stroke in the Chinese Han population
- Views Icon Views
- Share Icon Share
- Cite Icon Cite
Yun Sun, Yanyan Huang, Xu Chen, Yun Liu, Xiaozhe Lu, Yongyong Shi, Wei Tang, Jiandong Yang, Wuyan Chen, Xinzhi Zhao, Linghan Gao, Sheng Li, Guoyin Feng, Lin He; Association between the PDE4D gene and ischaemic stroke in the Chinese Han population. Clin Sci (Lond) 1 October 2009; 117 (7): 265–272. doi: https://doi.org/10.1042/CS20080471
Download citation file: