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Fan Zhang,1,* Hao Peng,1,* Chuanyi Fu,1 Yidong Deng,1 Mao Zhang,1 Wenan Li,1 Jian Zhong,1 Qing Zhou,1 Li Huang,1 Shuli Xiao,1 Jiannong Zhao2 1Department of Cerebrovascular Disease, Hainan Affiliated Hospital of Hainan Medical University, Hainan General Hospital, Haikou, Hainan, 570311, Peopleâs Republic of China; 2Department of Neurosurgery, Hainan Medical University, Hainan Affiliated Hospital of Hainan Medical University, Hainan General Hospital, Haikou, Hainan, 571199, Peopleâs Republic of China*These authors contributed equally to this workCorrespondence: Jiannong Zhao, Department of Neurosurgery, Hainan Medical University, Hainan Affiliated Hospital of Hainan Medical University, Hainan General Hospital, Haikou, 571199, Hainan, Peopleâs Republic of China, Tel/Fax +86-13876673888, Email jiannong_zhao@163.comBackground: Stroke has a high disability rate, and 30% of stroke cases have an unknown cause. Accurate diagnosis and treatment of stroke requires consideration of several rare heritable and non-heritable factors.Objective: This study aimed to evaluate the impacts of three genetic polymorphisms (rs369149111 in HTRA1, rs1803628 in GAS6 and rs9808753 in IFNGR2) on stroke susceptibility among the Chinese Han population.Methods: Three single nucleotide polymorphisms (SNPs) from 623 stroke cases and 572 healthy controls were genotyped by the Agena MassARRAY platform. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated by logistic regression analysis to evaluate the associations of three SNPs with stroke susceptibility. Additionally, SNP-SNP interactions were analyzed by multifactor dimensionality reduction (MDR).Results: As demonstrated by the overall analysis, rs9808753 in IFNGR2 (allele: OR = 1.25, 95% CI = 1.06â 1.47, p = 0.007; homozygous: OR = 1.59, 95% CI = 1.14â 2.23, p = 0.007; dominant: OR = 1.31, 95% CI = 1.02â 1.67, p = 0.032; recessive: OR = 1.42, 95% CI = 1.05â 1.91, p = 0.022; additive: OR = 1.26, 95% CI = 1.07â 1.48, p = 0.007) was associated with an increased susceptibility to stroke. Besides, stratification analysis suggested that rs9808753 was associated with an increased risk of stroke in subgroup aged ⤠64 years, males and drinkers (p < 0.05). And rs1803628 in GAS6 was significantly associated with an increased susceptibility to stroke in non-smokers (p < 0.05).Conclusion: A risk-increasing effect of IFNGR2 rs980875 on stroke was detected in this study, which further broadens the understanding of the relationship between genetic polymorphisms and stroke susceptibility.Keywords: IFNGR2, polymorphisms, stroke, susceptibility, case-control |
