Interaction of eNOS and iNOS polymorphisms supports the role of genes related to nitric oxide (NO) bioavailability in migraine pathophysiology
TL;DRAbstract
Migraine is a debilitating neurovascular disorder with high prevalence worldwide but its pathophysiology is not completely clarified. There is strong evidence that NO is critically involved in migraine etiology. In this regard, genes encoding for regulators of endothelial function and vascular permeability have been suggested as important candidate genes. However, although gene‐gene interactions are suggested to be an important component to complex disease, only a few studies focused on this issue in migraine. Therefore, we sought to characterize the possible interactions among polymorphisms of clinical relevance in the eNOS, iNOS and VEGF genes with migraine using multifactor dimensionality reduction (MDR) method. We observed a best model of interaction of the rs743506 SNP of eNOS gene with the G2087A SNP in exon 16 of iNOS gene associated when all migraine patients were compared to control group (C; N=103) (P=0.012). Interestingly, the same interaction best model was significantly as
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Migraine is a debilitating neurovascular disorder with high prevalence worldwide but its pathophysiology is not completely clarified. There is strong evidence that NO is critically involved in migraine etiology. In this regard, genes encoding for regulators of endothelial function and vascular permeability have been suggested as important candidate genes. However, although gene‐gene interactions are suggested to be an important component to complex disease, only a few studies focused on this issue in migraine. Therefore, we sought to characterize the possible interactions among polymorphisms of clinical relevance in the eNOS, iNOS and VEGF genes with migraine using multifactor dimensionality reduction (MDR) method. We observed a best model of interaction of the rs743506 SNP of eNOS gene with the G2087A SNP in exon 16 of iNOS gene associated when all migraine patients were compared to control group (C; N=103) (P=0.012). Interestingly, the same interaction best model was significantly as
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