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Updated: Jan 30, 2026

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An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
Published on: November 3, 2010
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Association between PPARs Gene Functional Polymorphisms and Ischemic Stroke in Chinese Uyghur Population
The Journal of Nutrition, Health & Aging
|January 31, 2019
Summary
The PPARγ Pro12Ala polymorphism may decrease ischemic stroke risk in the Chinese Uyghur population. The 162Val allele of PPARα was rare in this group, suggesting population-specific genetic associations with stroke.
Area of Science:
- Genetics and Molecular Biology
- Cardiovascular Research
- Neurology
Background:
- Peroxisome proliferator-activated receptors (PPARs) regulate inflammation, glucose metabolism, and endothelial function, suggesting a role in ischemic stroke (IS).
- Genetic variations in PPARs may influence IS susceptibility.
- The Uyghur population, with mixed European and East Asian ancestry, offers a unique genetic context for studying IS.
Purpose of the Study:
- To investigate the association between functional polymorphisms of PPARγ and PPARα and ischemic stroke (IS) in the Chinese Uyghur population.
- To determine if specific PPAR gene variants are linked to IS risk in this unique ethnic group.
Main Methods:
- Genotyping of PPARγ Pro12Ala and PPARα polymorphisms in 100 IS patients and 100 healthy controls from the Chinese Uyghur population.
- Statistical analysis to assess allele and genotype frequencies and their association with IS.
Main Results:
- The PPARγ Pro12Ala polymorphism showed a protective effect, with the Ala allele being more frequent in controls (P = 0.008).
- Carriage of the Pro/Ala genotype for PPARγ was associated with a reduced risk of IS (OR 0.542).
- The 162Val allele of PPARα was found to be extremely rare in both IS patients and controls within the Uyghur population.
Conclusions:
- The PPARγ Pro12Ala polymorphism may act as an independent protective factor against ischemic stroke in the Chinese Uyghur population.
- The low frequency of the PPARα 162Val allele highlights ethnic-specific genetic patterns in IS.
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