کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
2058524 1543963 2014 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
ACE-II genotype and I allele predicts ischemic stroke among males in south India
موضوعات مرتبط
علوم زیستی و بیوفناوری بیوشیمی، ژنتیک و زیست شناسی مولکولی بیوشیمی، ژنتیک و زیست شناسی مولکولی (عمومی)
پیش نمایش صفحه اول مقاله
ACE-II genotype and I allele predicts ischemic stroke among males in south India
چکیده انگلیسی


• ACE II and I allele were significantly associated with south Indian IS patients.
• Gender specific association (ACE II and I) were observed only in IS male patients.
• Smoking was the most powerful independent predictor for LVD subtypes of stroke.

Two hundred ischemic stroke patients and 193 age and sex matched healthy controls were studied for the presence of Angiotensin Converting Enzyme Insertion/Deletion (ACE I/D) gene polymorphism. The PCR studies revealed that ACE ‘II’ (OR = 2.055; p = 0.004) genotype and ‘I’ (OR = 1.411; p = 0.018) alleles were significantly associated with IS patients. Gender specific analysis revealed a strong association of ‘II’ (OR = 2.044; p = 0.014) genotype and ‘I’ (OR = 1.531; p = 0.011) allele with male sex. Classification of patients based on TOAST criteria, revealed a significant association for ‘II’ genotype (OR = 1.713; p = 0.043) and ‘I’ (OR = 1.382; p = 0.039) allele in LVD patients only. When the data was stratified based on age and sex, a statistically significant association was observed for ACE ‘II’ genotype (OR = 2.288; p = 0.006) and ‘I’ allele (OR = 1.395; p = 0.054) in IS male patients of > 50 years of age. The ACE ‘D’ allele was found to be increased in controls (OR = 0.709; p = 0.018) than IS patients. Multivariate logistic regression analysis showed that smoking and diabetes were the most powerful independent risk factor in LVD type of stroke. Thus, we presented here an evidence for a strong association of ACE ‘II’ genotype and ‘I’ allele compounded by factors such as smoking and diabetes among south Indian IS patients.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Meta Gene - Volume 2, December 2014, Pages 661–669
نویسندگان
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