Genetic Variation in SLIT2 Increases Risk of Acute Coronary Syndrome
A new study conducted by researchers at the Hormozgan University of Medical Sciences has found that a genetic polymorphism in the SLIT2 gene (rs666088) is associated with an increased risk of acute coronary syndrome (ACS) in an Iranian population. The study, published in the BMC Medical Genomics journal, investigated the role of SLIT2 in modulating inflammation and disease progression, and determined that the T allele of rs666088 was significantly more frequent in patients with ACS compared to healthy controls.
Key Takeaways:
- A total of 321 participants, including 217 patients with diagnosed CAD and 104 healthy controls, were recruited for the study.
- Patients were divided into acute coronary syndrome (ACS) and stable angina pectoris (SAP) groups, with 153 patients in the ACS group and 64 patients in the SAP group.
- The frequencies of the T allele of rs666088 were significantly higher in ACS patients compared to healthy controls, and were associated with an increased risk of ACS.
- Analysis of ACS subgroups, including myocardial infarction (MI) and unstable angina pectoris (UAP), revealed consistent results.
- The study concluded that the SLIT2 (rs666088) genetic variation may be considered as a biomarker for early screening and diagnosis of ACS.
Statistics:
- 321 participants were recruited for the study, including 217 patients with diagnosed CAD and 104 healthy controls.
- 153 patients were in the ACS group and 64 patients were in the SAP group.
- The odds ratio (OR) for the association between rs666088 and ACS was 1.5 (95% CI = 1.1-2.2, P = 0.01).
- After adjustment for confounding factors, the OR remained significant at 1.3 (95% CI = 1.1-1.9, P = 0.02).
Sources:
- An intron SNP rs666088 in SLIT2 increases the risk of acute coronary syndrome in an Iranian population. BMC Medical Genomics, 2025,18(1):1-10.
- Hormozgan University of Medical Sciences.
- Pooria Pakdaman, Molecular Medicine Research Center, Hormozgan Health Institute, Hormozgan University of Medical Sciences.
- Nadereh Naderi, Narges Farshidi, Hossein Farshidi, Zahra Jafari, Mahsa Rahimzadeh.