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ORIGINAL RESEARCH

Association Between HTRA1, GAS6 and IFNGR2 Gene Polymorphisms and Stroke Susceptibility in the Chinese Han Population

, , , , , , , , , & show all
Pages 717-727 | Received 16 Feb 2023, Accepted 20 Jun 2023, Published online: 07 Jul 2023

Figures & data

Table 1 Demographic Characteristic of the Cases with Stroke and Controls

Table 2 Basic Information About SNPs and Association with Risk of Stroke in Allele Model

Table 3 Genetic Model Analyses of the Association Between Three SNPs and the Risk of Stroke (Adjusted by Age and Gender)

Table 4 Distribution of SNPs in Different Age, Gender, Smoking Status, Drinking Status and Its Association with Risk of Stroke

Table 5 Summary of SNP-SNP Interactions on the Risk of Stroke Analyzed by MDR Method

Figure 1 Dendrogram about the analysis of SNP-SNP interactions. Colors in the dendrogram indicate synergies or redundancies. Red indicates a high degree of synergistic interaction; Orange indicates a lesser degree, whereas brown represents the midpoint; blue represents the highest level of redundancy, followed by green. The shorter the distance between nodes, the stronger the interaction between them.

Figure 1 Dendrogram about the analysis of SNP-SNP interactions. Colors in the dendrogram indicate synergies or redundancies. Red indicates a high degree of synergistic interaction; Orange indicates a lesser degree, whereas brown represents the midpoint; blue represents the highest level of redundancy, followed by green. The shorter the distance between nodes, the stronger the interaction between them.

Table 6 Clinical Characteristics of Stroke Patients Based on the Genotypes of Selected SNPs