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A Method to Study the C924T Polymorphism of the Thromboxane A2 Receptor Gene
Published on: April 1, 2019
Novel single nucleotide polymorphism markers for low dose aspirin-associated small bowel bleeding
Akiko Shiotani1, Takahisa Murao1, Yoshihiko Fujita2
1Division of Gastroenterology, Department of Internal Medicine, Kawasaki Medical School, Kurashiki City, Okayama, Japan.
Certain genetic variations, specifically single nucleotide polymorphisms (SNPs) in CYP4F11 and CYP2D6, may indicate a higher risk of developing small bowel bleeding when taking low dose aspirin (LDA). Further research is needed to confirm these findings.
Area of Science:
- Pharmacogenomics
- Gastroenterology
- Genetics
Background:
- Aspirin-induced enteropathy is a growing concern, but its mechanisms and risk factors remain unclear.
- Understanding genetic predispositions is crucial for managing aspirin-induced small intestinal damage.
Purpose of the Study:
- To explore the pharmacogenomic profile associated with low dose aspirin (LDA)-induced small bowel bleeding.
- Identify genetic markers that predict the risk of gastrointestinal bleeding from aspirin use.
Main Methods:
- Genome-wide analysis of single nucleotide polymorphisms (SNPs) using Affymetrix DMET™ Plus Premier Pack.
- Genotyping of candidate genes via TaqMan SNP Genotyping Assay kits and direct sequencing.
- Validation in a cohort of 37 patients with small bowel bleeding and 400 controls.
Main Results:
- Four SNPs (CYP4F11 rs1060463, CYP2D6 rs28360521, CYP24A1 rs4809957, GSTP1 rs1695) were more frequent in patients with small bowel bleeding.
- CYP2D6 (rs28360521) GG genotype showed a significant association with small bowel bleeding (OR 4.11, 95% CI 1.62-10.4) after adjustment.
- These findings suggest specific genetic variants are linked to aspirin-induced gastrointestinal events.
Conclusions:
- Single nucleotide polymorphisms (SNPs) in CYP4F11 and CYP2D6 may serve as biomarkers for identifying individuals at increased risk of aspirin-induced small bowel bleeding.
- Pharmacogenomic analysis offers a promising avenue for personalized aspirin therapy and risk stratification.
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