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Associated Chromosome Trap for Identifying Long-range DNA Interactions
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Association of

Jiaxing Pan1, Qingqing Zhuo1, Xu Chen1

  • 1Department of Neurology, People's Hospital of Wanning, Wanning, Hainan, China.

Frontiers in Neurology
|June 5, 2023
PubMed
Summary

Genetic variations in the LIPC gene, specifically rs690 and rs6074, are linked to an increased stroke risk in the Chinese population. These single nucleotide polymorphisms (SNPs) may influence stroke risk through effects on platelet distribution width, hematocrit, and LDL-C levels.

Keywords:
Chinese populationLIPCcase-control studypolymorphismsstokesusceptibility

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Area of Science:

  • Genetics
  • Cerebrovascular Diseases
  • Molecular Biology

Background:

  • Stroke is a prevalent cerebrovascular disease.
  • Understanding genetic predispositions is crucial for stroke prevention.
  • The LIPC gene plays a role in lipid metabolism, a key factor in cardiovascular health.

Purpose of the Study:

  • To investigate the association between LIPC single nucleotide polymorphisms (SNPs) and stroke risk.
  • To explore potential interactions between LIPC SNPs and stroke risk.
  • To examine the relationship between LIPC SNPs and clinical parameters in stroke patients.

Main Methods:

  • Genotyping of four LIPC SNPs (rs690, rs6083, rs3829461, rs6074) in 710 stroke patients and 701 controls.
  • Statistical analysis using odds ratios (OR) and 95% confidence intervals (CI).
  • Multifactor dimensionality reduction (MDR) analysis to assess SNP-SNP interactions and bioinformatics analysis to evaluate gene expression.

Main Results:

  • The LIPC SNP rs690 was significantly associated with increased stroke risk (T vs. G: OR=1.19, p=0.041).
  • Stratified analyses showed rs690 and rs6074 were associated with increased stroke risk in specific subgroups (age, sex, smoking, drinking).
  • rs690 correlated with platelet distribution width (PDW) and hematocrit (HCT), while rs6074 correlated with low-density lipoprotein cholesterol (LDL-C).
  • Bioinformatics analysis revealed differential expression of LIPC and related genes in stroke patients, primarily linked to lipid metabolism.

Conclusions:

  • Specific LIPC SNPs (rs690 and rs6074) are significantly associated with an elevated risk of stroke in the Chinese population.
  • These genetic variations may contribute to stroke risk by influencing key clinical parameters such as PDW, HCT, and LDL-C.
  • The findings highlight the role of LIPC gene polymorphisms in stroke pathogenesis and suggest potential targets for risk assessment.