Predictive Value of Multi-gene Interaction on Aspirin Resistance in Patients with Acute Stroke

OBJECTIVE To explore the predictive value of six genes single nucleotide polymorphisms(SNPs) and their interaction on aspirin resistance(AR) in patients with acute stroke. METHODS The patients with acute stroke were enrolled in the medical record system who were hospitalized in The First Affiliated Hospital of Xiamen University from January 1, 2018 to April 30, 2020. They were divided into AR and aspirin sensitive(AS) group according to the max aggregation ratio. SPSS and generalized multifactor dimensionality reduction(GMDR) were performed to analyze the relationship between AR and six SNPs, including COX-1(rs1330344, rs3842788), GPⅡb(rs5911), GPIBA(rs6065), HO-1(rs2071746) and PEAR1(rs12041331). RESULTS Among the 92 patients, AR group was detected in 15 patients(16.3%), and AS group was detected in 77 patients(83.7%). There were no significant differences in the genotype distributions of the SNPs between two groups. GMDR analysis showed that three-locus interaction model(rs2071746, rs12041331 and rs1330344) was the best model, and the cross-validation consistency was 10/10, and sign test value was 0.010 7. The Logistic regression analysis showed that the interaction of the above three SNPs could increase the risk of AROR=30.917, 95%CI(3.842, 248.781), P=0.001. CONCLUSION The gene-gene interaction among rs2071746, rs12041331 and rs1330344 may confer higher risk for AR in patients with acute stroke.