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Association and interaction of genetic variants with occurrence of ischemic stroke among Brazilian patients.

Authors :
Ferreira, Leslie Ecker
Secolin, Rodrigo
Lopes-Cendes, Iscia
Cabral, Norberto Luiz
França, Paulo Henrique Condeixa de
Source :
Gene. May2019, Vol. 695, p84-91. 8p.
Publication Year :
2019

Abstract

Abstract Ischemic Stroke (IS) is a severe and complex disorder of high morbidity and mortality rates associated with clinical, environmental, and genetic predisposing factors. Despite previous studies have associated genetic variants to stroke, inconsistent results from different populations pointed to the genetic heterogeneity for IS. Therefore, we may hypothesize that an interaction effect among genetic variants could contribute to IS occurrence rather than genetic variants independently. In this context, we investigated the association and interaction between genetic variants and large-artery atherosclerosis IS (LAAS-IS) and cardioembolic IS (CE-IS). We genotyped 435 patients (195 LAAS-IS; 240 CE-IS) and 535 controls from a population of Joinville, Santa Catarina, Brazil. Association and interaction analysis were performed by chi-square test and Multifactor-dimensionality Reduction test. We found an association between rs2383207*A allele, nearby CDKN2B-AS1 , and LAAS-IS [OR 2.35 (95% CI = 1.79–3.08); p = 4.66 × 10−10]. We found an interaction among rs2910829, rs966221 and rs152312, with an accuracy of 0.62 (p = 4.3 × 10−5) demonstrating the interaction effect among variants from different genes can contribute to CE-IS risk. Further prediction analysis confirmed that clinical information, such as hypertension and dyslipidemia, presented high accuracy to predict LAAS-IS (86.47%) and CE-IS (90.47%); however, the inclusion of genetic variant information did not increase the accuracy. Highlights • The rs2383207 shows significant association with LAAS ischemic stroke risk in Brazil • There is an interaction effect between genetic variants on cardioembolic stroke risk • Genetic variants show lower accuracy on stroke prediction than classical risk factors [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03781119
Volume :
695
Database :
Academic Search Index
Journal :
Gene
Publication Type :
Academic Journal
Accession number :
135198128
Full Text :
https://doi.org/10.1016/j.gene.2019.01.041