Lipoprotein lipase gene polymorphisms as risk factors for stroke: a computational and meta-analysis

• Published in: Iranian journal of basic medical sciences Vol. 21; no. 7; pp. 701 - 708
• Main Authors: Nejati, Majid, Atlasi, Mohammad Ali, Karimian, Mohammad, Nikzad, Hossein, Azami Tameh, Abolfazl
• Format: Journal Article
• Language: English
• Published: Iran Mashhad University of Medical Sciences 01.07.2018
• Subjects: Computational biology; Genetic polymorphism; Lipoprotein lipase; Meta-analysis; Original; Risk factors; Stroke; Stroke; Lipoprotein lipase; Genetic polymorphism; Computational biology; Meta-analysis
• ISSN: 2008-3866; 2008-3874
• DOI: 10.22038/ijbms.2018.29009.7001

Stroke is the most common neurological disorder and genetic susceptibility has an important role in its etiology. Polymorphism in several genes such as lipoprotein lipase ( ) is propounded as a risk for stroke. This meta-analysis investigated the association of rs285 and rs320 LPL polymorphism with stroke risk. We searched PubMed, Clarivate Analytics Web of Science, Google Scholar, and Science Direct databases for appropriate studies. The odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to estimate the strength of this association. Also, the effects of four common polymorphisms (rs268, rs285, rs320, and rs328) on the molecular aspects of LPL were evaluated by tools. Five studies were included in meta-analysis after screening. Our data indicated that rs320 significantly decreased the risk of stroke (G vs. T: OR= 0.64, 95%CI=0.54-0.76; GG vs. TT: OR=0.47, 95%CI=0.29-0.75; TG vs. TT: OR=0.65, 95%CI=0.53-0.80; TG+GG vs. TT: OR=0.62, 95%CI=0.51-0.75; GG vs. TT+TG: OR=0.51, 95%CI=0.32-0.82). Moreover, a significant association between rs285 and diminution of stroke risk was seen (P- vs. P+: OR=0.72, 95%CI=0.58-0.91; P-P- vs. P+P+: OR=0.50, 95%CI=0.31-0.82; P+P-+P-P- vs. P+P+: OR=0.72, 95%CI=0.53-0.96; P-P- vs. P+P++P+P-: OR=0.581, 95%CI=0.369-0.916). Also, the same results were observed after stratifying, without any publication bias ( >0.05). Furthermore, computational analysis revealed that rs268 and rs328 may affect the protein structure (prediction: non-neutral; score=19; expected accuracy=59%) while rs320 could affect the RNA structure (distance=0.2264, -value=0.0534; <0.2 is significant). This meta-analysis indicated that risk of stroke was decreased in rs320 and rs285 polymorphisms in the LPL gene.