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Correlation of PCSK9 gene polymorphism with cerebral ischemic stroke in Xinjiang Han and Uygur populations
Dengfeng Han1, Jianhua Ma1, Xiaoning Zhang1
1Department of Neurology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China (mainland).
Insights
Specific PCSK9 gene variants are linked to cerebral ischemic stroke (CIS) risk in the Han Chinese population. The A-C haplotype of PCSK9 may serve as a genetic marker for CIS in this group.
Area of Science:
- Genetics
- Cardiovascular Medicine
- Neurology
Background:
- Cerebral ischemic stroke (CIS) is a leading cause of death and disability.
- Atherosclerosis (AS) underlies CIS, with dyslipidemia as a primary risk factor.
- Human proprotein convertase subtilisin/kexin9 (PCSK9) regulates low-density lipoprotein (LDL) cholesterol.
Purpose of the Study:
- To investigate the association between PCSK9 gene polymorphisms and CIS.
- To compare these associations in Chinese Han and Uygur populations.
Main Methods:
- Genotyping of 20 single-nucleotide polymorphisms (SNPs) in the PCSK9 gene.
- Utilized the single-base terminal extension (SNaPshot) method.
- Analyzed 408 CIS patients and 348 controls.
Main Results:
- SNP8 (rs529787) genotype distribution differed significantly between CIS cases and controls.
- In the Han population, SNPs 1 (rs1711503), 2 (rs2479408), and 8 (rs529787) showed significant associations with CIS.
- The A-C haplotype (rs1711503 and rs2479408) was significantly associated with CIS risk in the Han population.
Conclusions:
- PCSK9 gene variants rs1711503 and rs2479408 are associated with CIS in the Han Chinese population.
- The A-C haplotype of PCSK9 may indicate an increased genetic risk for CIS in this population.
Background:
Cerebral ischemic stroke (CIS) is a major cause of morbidity and mortality. Its main pathological basis is atherosclerosis (AS); in turn, the main risk factor in AS is dyslipidemia. Human proprotein convertase subtilisin/kexin9 (PCSK9) plays a key role in regulating plasma low-density lipoprotein (LDL) cholesterol levels. We sought to assess the association between PCSK9 and CIS in Chinese Han and Uygur populations.
Material And Methods:
We selected 408 CIS patients and 348 control subjects and used a single-base terminal extension (SNaPshot) method to detect the genotypes of the 20 single-nucleotide polymorphisms (SNPs) in PCSK9.
Results:
Distribution of SNP8 (rs529787) genotypes showed a significant difference between CIS and control participants (P=0.049). However, when analyzing Han and Uygur populations separately, we found that only Han subjects showed distribution of SNP1 (rs1711503), SNP2 (rs2479408), and SNP8 (rs529787) alleles that was significantly different between CIS and control participants (P=0.028, P=0.013, P=0.006, respectively), and distribution of SNP2 (rs2479408) in the dominant model (CC vs. CG + GG) was significantly different between CIS and control participants (P=0.013), even after adjustment for covariates (OR: 75.262, 95% confidence interval [CI]: 7.232-783.278, P<0.001). Distribution of the 2 haplotypes (A-C and G-C) (rs1711503 and rs2479408) was significantly different between CIS and control participants (both, P=0.011).
Conclusions:
Both rs1711503 and rs2479408 of PCSK9 genes were associated with CIS in the Han population of China. A-C haplotype may be a genetic marker of CIS risk in this population.
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