Meta-analysis on correlation between genetic polymorphism of ApoE and late onset Alzheimer's disease in Chinese population

<p><strong>Objective</strong> To systematically review the correlation between genetic polymorphism of apolipoprotein E (<em>ApoE</em>) and late onset Alzheimer's disease (LOAD) in Chinese population. <strong>Methods </strong>Taking "<em>Ap...

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Main Authors: Shu-ling LIU, Ting ZHANG, Ya-jing ZHANG, Wei YUE, Zhi-hong SHI, Ya-lin GUAN, Shuai LIU, Xiao-dan WANG, Yong JI
Format: Article
Language:English
Published: Tianjin Huanhu Hospital 2016-01-01
Series:Chinese Journal of Contemporary Neurology and Neurosurgery
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Online Access:http://www.cjcnn.org/index.php/cjcnn/article/view/1339
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Summary:<p><strong>Objective</strong> To systematically review the correlation between genetic polymorphism of apolipoprotein E (<em>ApoE</em>) and late onset Alzheimer's disease (LOAD) in Chinese population. <strong>Methods </strong>Taking "<em>ApoE</em>, late onset Alzheimer's disease, polymorphism, China and Chinese" as retrieval words, databases of PubMed, EMBASE/SCOPUS, EBSCO-CINAHL, Cochrane Library, China Biology Medicine (CBM), China National Knowledge Infrastructure (CNKI) and Wanfang Data were retrieved with computer for collecting case-control studies about the correlation between genetic polymorphism of ApoE and LOAD in Chinese population in recent 20 years. Newcastle-Ottawa Scale (NOS) was used for methodological quality assessment. Meta-analysis was conducted by using RevMan 5.0 software. <strong>Results </strong> There were a total of 249 records through preliminary searching. After eliminating 113 duplicate ones and 124 articles which did not meet the inclusion criteria and adding one article by searching the references of 27 screened articles, 13 high-quality clinical trials were finally selected (NOS score ≥ 5). A total of 3372 subjects (1360 LOAD patients and 2012 controls) were included. Meta-analysis showed that the LOAD risk in population with allele <em>ApoEε4</em> was significantly higher than those with allele <em>ApoEε3</em> (<em>OR</em> = 3.710, 95%CI:2.960-4.640;<em> P</em> = 0.000), while had no statistical difference from those with allele <em>ApoEε 2</em>. Meta-analysis also showed that the LOAD risk in those with genotype <em>ApoEε3/ε4</em> (<em>OR</em> = 3.160, 95%CI: 2.390-4.180; <em>P</em> = 0.000), genotype<em> ApoE ε 2/ε 4</em> (<em>OR</em> = 3.410, 95% CI: 2.160-5.380; <em>P</em> = 0.000), genotype <em>ApoE ε 4/ε 4</em> (<em>OR</em> = 16.400, 95% CI: 8.200-32.810; <em>P</em> = 0.000) was significantly higher than those with genotype <em>ApoE ε 3/ε 3</em>, while had no statistical differences from those with genotype <em>ApoE ε 2/ε 3</em> and genotype <em>ApoE ε 2/ε 2</em>. <strong>Conclusions</strong> The evidences indicate that<em> ApoEε4</em> allele and <em>ApoE</em> genotype <em>ε3/ε4</em>, <em>ε2/ε4</em> and <em>ε4/ε4</em> are high risk factors for LOAD in Chinese population.</p><p> </p><p><strong>DOI: </strong>10.3969/j.issn.1672-6731.2016.01.006</p>
ISSN:1672-6731