The impact of APOA5, APOB, APOC3 and ABCA1 gene polymorphisms on ischemic stroke: Evidence from a meta-analysis
Background and aims Genetic studies have been reported on the association between APOA5, APOB, APOC3 and ABCA1 gene polymorphisms and ischemic stroke, but results remain controversial. Hence, this meta-analysis aimed to infer the causal relationships of APOA5 (rs662799, rs3135506), APOB (rs693, rs10...
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| Format: | Article |
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Elsevier Ireland Ltd
2017
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| author | Au, A. Griffiths, L. R. Irene, L. Kooi, C. W. Wei, L. K. |
| author_facet | Au, A. Griffiths, L. R. Irene, L. Kooi, C. W. Wei, L. K. |
| author_sort | Au, A. |
| collection | ePrints |
| description | Background and aims Genetic studies have been reported on the association between APOA5, APOB, APOC3 and ABCA1 gene polymorphisms and ischemic stroke, but results remain controversial. Hence, this meta-analysis aimed to infer the causal relationships of APOA5 (rs662799, rs3135506), APOB (rs693, rs1042031, rs1801701), APOC3 (rs4520, rs5128, rs2854116, rs2854117) and ABCA1 rs2230806 with ischemic stroke risk. Methods A systematic review was performed for all the articles retrieved from multiple databases, up until March 2017. Data were extracted from all eligible studies, and meta-analysis was carried out using RevMan 5.3 and R package 3.2.1. The strength of association between each studied polymorphism and ischemic stroke risk was measured as odds ratios (ORs) and 95% confidence intervals (CIs), under fixed- and random-effect models. Results A total of 79 studies reporting on the association between the studied polymorphisms and ischemic stroke risk were identified. The pooled data indicated that all genetic models of APOA5 rs662799 (ORs = 1.23–1.43), allelic and over-dominant models of APOA5 rs3135506 (ORs = 1.77–1.97), APOB rs1801701 (ORs = 1.72–2.13) and APOB rs1042031 (ORs = 1.66–1.88) as well as dominant model of ABCA1 rs2230806 (OR = 1.31) were significantly associated with higher risk of ischemic stroke. However, no significant associations were observed between ischemic stroke and the other five polymorphisms, namely ApoB (rs693) and APOC3 (rs4520, rs5128, rs2854116 and rs2854117), under any genetic model. Conclusions The present meta-analysis confirmed a significant association of APOA5 rs662799 CC, APOA5 rs3135506 CG, APOB rs1801701 GA, APOB rs1042031 GA and ABCA1 rs2230806 GG with increased risk of ischemic stroke. |
| first_indexed | 2024-03-05T20:10:08Z |
| format | Article |
| id | utm.eprints-75420 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T20:10:08Z |
| publishDate | 2017 |
| publisher | Elsevier Ireland Ltd |
| record_format | dspace |
| spelling | utm.eprints-754202018-03-22T11:08:20Z http://eprints.utm.my/75420/ The impact of APOA5, APOB, APOC3 and ABCA1 gene polymorphisms on ischemic stroke: Evidence from a meta-analysis Au, A. Griffiths, L. R. Irene, L. Kooi, C. W. Wei, L. K. TP Chemical technology Background and aims Genetic studies have been reported on the association between APOA5, APOB, APOC3 and ABCA1 gene polymorphisms and ischemic stroke, but results remain controversial. Hence, this meta-analysis aimed to infer the causal relationships of APOA5 (rs662799, rs3135506), APOB (rs693, rs1042031, rs1801701), APOC3 (rs4520, rs5128, rs2854116, rs2854117) and ABCA1 rs2230806 with ischemic stroke risk. Methods A systematic review was performed for all the articles retrieved from multiple databases, up until March 2017. Data were extracted from all eligible studies, and meta-analysis was carried out using RevMan 5.3 and R package 3.2.1. The strength of association between each studied polymorphism and ischemic stroke risk was measured as odds ratios (ORs) and 95% confidence intervals (CIs), under fixed- and random-effect models. Results A total of 79 studies reporting on the association between the studied polymorphisms and ischemic stroke risk were identified. The pooled data indicated that all genetic models of APOA5 rs662799 (ORs = 1.23–1.43), allelic and over-dominant models of APOA5 rs3135506 (ORs = 1.77–1.97), APOB rs1801701 (ORs = 1.72–2.13) and APOB rs1042031 (ORs = 1.66–1.88) as well as dominant model of ABCA1 rs2230806 (OR = 1.31) were significantly associated with higher risk of ischemic stroke. However, no significant associations were observed between ischemic stroke and the other five polymorphisms, namely ApoB (rs693) and APOC3 (rs4520, rs5128, rs2854116 and rs2854117), under any genetic model. Conclusions The present meta-analysis confirmed a significant association of APOA5 rs662799 CC, APOA5 rs3135506 CG, APOB rs1801701 GA, APOB rs1042031 GA and ABCA1 rs2230806 GG with increased risk of ischemic stroke. Elsevier Ireland Ltd 2017 Article PeerReviewed Au, A. and Griffiths, L. R. and Irene, L. and Kooi, C. W. and Wei, L. K. (2017) The impact of APOA5, APOB, APOC3 and ABCA1 gene polymorphisms on ischemic stroke: Evidence from a meta-analysis. Atherosclerosis, 265 . pp. 60-70. ISSN 0021-9150 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028503238&doi=10.1016%2fj.atherosclerosis.2017.08.003&partnerID=40&md5=9c48378b5f27ca64620744030a4d4ffe |
| spellingShingle | TP Chemical technology Au, A. Griffiths, L. R. Irene, L. Kooi, C. W. Wei, L. K. The impact of APOA5, APOB, APOC3 and ABCA1 gene polymorphisms on ischemic stroke: Evidence from a meta-analysis |
| title | The impact of APOA5, APOB, APOC3 and ABCA1 gene polymorphisms on ischemic stroke: Evidence from a meta-analysis |
| title_full | The impact of APOA5, APOB, APOC3 and ABCA1 gene polymorphisms on ischemic stroke: Evidence from a meta-analysis |
| title_fullStr | The impact of APOA5, APOB, APOC3 and ABCA1 gene polymorphisms on ischemic stroke: Evidence from a meta-analysis |
| title_full_unstemmed | The impact of APOA5, APOB, APOC3 and ABCA1 gene polymorphisms on ischemic stroke: Evidence from a meta-analysis |
| title_short | The impact of APOA5, APOB, APOC3 and ABCA1 gene polymorphisms on ischemic stroke: Evidence from a meta-analysis |
| title_sort | impact of apoa5 apob apoc3 and abca1 gene polymorphisms on ischemic stroke evidence from a meta analysis |
| topic | TP Chemical technology |
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