Identification of genetic contribution to ischemic stroke by screening of single nucleotide polymorphisms in stroke patients by using a case control study design

Prasad²,

Kathuria³

et al. 2015

Neuroepidemiology

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Background: Stroke is a multifactorial disease and is influenced by complex environmental interactions. The contribution of various risk factors to the burden of stroke worldwide is not well known, particularly in developing countries. The present case-control study is aimed at exploring the association between a low socioeconomic status and the risk of ischemic stroke among the North Indian population. Methods: The study design was a hospital-based, case-control study. Age- and sex-matched controls were included. The demographic characteristics and risk factor variables were documented by means of a personal interview through a standardized case record form. The household asset index for determining the socioeconomic status (HAISS) was used for the assessment of the socioeconomic status of the population. HAISS was validated with the widely used Kuppuswamy scale for measurement of socioeconomic status. The multivariable logistic regression model was used to estimate the odds ratio associated with stroke. Results: In all, 224 ischemic stroke patients and 224 controls were recruited between February 2009 and February 2012. The mean age of cases and controls was 53.47 ± 14 and 52.92 ± 13.4, respectively. The low economic status was independently associated with the risk of ischemic stroke after adjustment for demographic and risk factor variables (OR 2.8; 95% CI 1.2-6.3). Conclusion: Our findings suggest that there is a significant association between a low socioeconomic status and the risk of ischemic stroke risk in North Indian population. Well-designed studies embedded with long-term prospective cohorts are required for confirming the results.

Section: Methodsmentioning

confidence: 99%

Low Socioeconomic Status Is an Independent Risk Factor for Ischemic Stroke: A Case-Control Study in North Indian Population

Prasad²,

Kathuria³

et al. 2015

Neuroepidemiology

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International Journal of Neuroscience

“…Hence, in any genetic study a proper case-control design with sufficient sample size, proper variables (risk factors) and observed genotypes and alleles following Hardy-Weinberg equilibrium is a prerequisite for appropriate analysis. Further, genotyping error that can substantially contribute to wrong interpretation of statistical data should be paid utmost attention too [53].…”

Section: Pharmacology Studiesmentioning

confidence: 99%

Association between PDE4D gene and ischemic stroke: recent advancements

Das

Roy

Munshi

2015

Stroke is a severe complication and a leading cause of death worldwide and genetic studies among different ethnicities has provided the basis for involvement of phosphodiesterase 4D (PDE4D) gene in cerebrovascular diseases. Recent advancements have evaluated the role of this gene in stroke and these studies have provided a stronger support for the involvement of this gene in stroke development and few studies also suggest that it may influence outcome. Furthermore, case-control studies and meta-analysis studies have provided strong evidence for certain variants in PDE4D to predispose to stroke only among certain ethnicities. Thus, this review focuses on recent progress made in PDE4D gene research involving genetic, molecular and pharmacological aspect. A strong conclusion has emerged that clearly indicates a pivotal role played by this gene in ischemic stroke globally. Studies have also noticeably highlighted that PDE4D gene/pathway can be a suitable drug target for managing stroke; however, a more comprehensive research is still required to understand the molecular and cellular intricacies this gene plays in stroke development, progression and its outcome.

“…The National Institutes of Health Stroke Scale (NIHSS) was used for determination of clinical severity on the day of admission. Definitions of variables were modified from the study protocol published by Kumar et al [14]. …”

Section: Methodsmentioning

confidence: 99%

Association between Beta-Fibrinogen C148T Gene Polymorphism and Risk of Ischemic Stroke in a North Indian Population: A Case-Control Study

Misra

et al. 2016

Pulse

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Background and Purpose: Stroke is a multifactorial disease influenced by both genetic and environmental factors. The aim of this case-control study was to determine the association between β-fibrinogen C148T (rs1800787) gene polymorphism and susceptibility to ischemic stroke (IS) in a North Indian population. Methods: In the present case-control study, genotyping was performed using the PCR-RFLP (polymerase chain reaction-restriction fragment length polymorphism) method on 250 IS patients and 250 age- and sex-matched controls. Frequency distributions of genotypes and alleles were compared between the cases and controls by conditional logistic regression. Results: Hypertension, diabetes, dyslipidemia, low socioeconomic status, and family history of stroke were found to be independent risk factors for IS. The mean age of the cases and controls was 52.83 ± 12.59 and 50.97 ± 12.70 years, respectively. Multivariate logistic regression analysis showed an independent association between β-fibrinogen C148T (rs1800787) polymorphism and risk of IS in dominant (OR = 2.19; 95% CI 1.23-3.90; p = 0.007) and allelic (OR = 1.66; 95% CI 1.19-2.33; p = 0.002) models. Based on the Trial of Org 10172 in Acute Stroke Treatment (TOAST) classification, an independent association of small vessel disease with risk of IS was observed in the dominant (OR = 2.09; 95% CI 1.10-3.96; p = 0.02) and allelic (OR = 1.75; 95% CI 1.12-2.75; p = 0.01) models, and a significant association of cardioembolic stroke with risk of IS was seen in the allelic model (OR = 2.11; 95% CI 1.07-4.17; p = 0.02). All the genotype frequencies observed were in accordance with Hardy-Weinberg equilibrium in both cases and controls. Conclusion: The findings of the present study suggest that polymorphism in the C148T position of the β-fibrinogen gene might be a risk factor for IS mainly for the small vessel disease stroke subtype in a North Indian population. Further, large prospective studies are required to confirm these findings.