BACKGROUND: Single-nucleotide polymorphisms (SNPs) in inflammation-related genes have been linked to an increased risk of ischemic stroke. Most of these SNP results have not been replicated, however, and metaanalyses of the effects of inflammation-related genes are rare. We investigated 49 SNPs in 34 genes previously reported to be related to inflammation in our study. We tested 459 patients with acute ischemic stroke or transient ischemic attack and 459 controls individually matched by sex and age. METHODS: We studied genetic variation by PCR analysis and subsequent hybridization to linear arrays of sequence-specific oligonucleotides. We used univariate conditional logistic regression analysis to test for associations of conventional vascular risk factors and the SNPs with stroke. Variables showing significant differences (P < 0.05) between cases and controls were included in a multivariate model. ROC curves were plotted to assess the contribution of genetic variation to stroke risk in addition to that of conventional risk factors. RESULTS: Univariate regression analysis revealed 3 SNPs with significant allelic differences between patients and controls, which fulfilled the criteria for further analysis. Only one of these SNPs, the C5 (complement component 5) 2416A>G variant (rs17611), remained significant after the multivariate analysis (odds ratio, 0.585; P = 0.0037). ROC curve analysis revealed no contribution of this genetic variation to stroke risk. CONCLUSIONS: We found evidence for an association of the 2416A>G polymorphism in the C5 gene with the risk for ischemic stroke. Our data suggest that the C5 gene particularly influences the risk for patients with microangiopathy.
BACKGROUND: Single-nucleotide polymorphisms (SNPs) in inflammation-related genes have been linked to an increased risk of ischemic stroke. Most of these SNP results have not been replicated, however, and metaanalyses of the effects of inflammation-related genes are rare. We investigated 49 SNPs in 34 genes previously reported to be related to inflammation in our study. We tested 459 patients with acute ischemic stroke or transient ischemic attack and 459 controls individually matched by sex and age. METHODS: We studied genetic variation by PCR analysis and subsequent hybridization to linear arrays of sequence-specific oligonucleotides. We used univariate conditional logistic regression analysis to test for associations of conventional vascular risk factors and the SNPs with stroke. Variables showing significant differences (P < 0.05) between cases and controls were included in a multivariate model. ROC curves were plotted to assess the contribution of genetic variation to stroke risk in addition to that of conventional risk factors. RESULTS: Univariate regression analysis revealed 3 SNPs with significant allelic differences between patients and controls, which fulfilled the criteria for further analysis. Only one of these SNPs, the C5 (complement component 5) 2416A>G variant (rs17611), remained significant after the multivariate analysis (odds ratio, 0.585; P = 0.0037). ROC curve analysis revealed no contribution of this genetic variation to stroke risk. CONCLUSIONS: We found evidence for an association of the 2416A>G polymorphism in the C5 gene with the risk for ischemic stroke. Our data suggest that the C5 gene particularly influences the risk for patients with microangiopathy.
Authors: Rand Arnaout; Sahar Al Shorbaghi; Hasan Al Dhekri; Hamoud Al-Mousa; Abdulaziz Al Ghonaium; Bandar Al Saud; Saleh Al Muhsen; Lina Al Baik; Abbas Hawwari Journal: J Clin Immunol Date: 2013-02-01 Impact factor: 8.317
Authors: Eric J Heyer; Christopher P Kellner; Hani R Malone; Samuel S Bruce; Joanna L Mergeche; Justin T Ward; E Sander Connolly Journal: J Neurosurg Date: 2013-05-10 Impact factor: 5.115
Authors: Alison R Clarke; Brandon R Christophe; Anadjeet Khahera; Justin L Sim; E Sander Connolly Journal: Front Immunol Date: 2019-07-30 Impact factor: 7.561
Authors: Jessica Kristin Henes; Patrick Groga-Bada; Elke Schaeffeler; Stefan Winter; Luis Hack; Monika Zdanyte; Karin Mueller; Michal Droppa; Fabian Stimpfle; Meinrad Gawaz; Harald Langer; Matthias Schwab; Tobias Geisler; Dominik Rath Journal: Pharmgenomics Pers Med Date: 2021-07-21