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

Abstract

Objective To systematically review the correlation between genetic polymorphism of apolipoprotein E ( ApoE ) and late onset Alzheimer's disease (LOAD) in population. Methods Taking ApoE , 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 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. Results 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 ApoEe4 was significantly higher than those with allele ApoEe3 ( OR = 3.710, 95%CI:2.960-4.640; P = 0.000), while had no statistical difference from those with allele ApoEe 2 . Meta-analysis also showed that the LOAD risk in those with genotype ApoEe3/e4 ( OR = 3.160, 95%CI: 2.390-4.180; P = 0.000), genotype ApoE e 2/e 4 ( OR = 3.410, 95% CI: 2.160-5.380; P = 0.000), genotype ApoE e 4/e 4 ( OR = 16.400, 95% CI: 8.200-32.810; P = 0.000) was significantly higher than those with genotype ApoE e 3/e 3 , while had no statistical differences from those with genotype ApoE e 2/e 3 and genotype ApoE e 2/e 2 . Conclusions The evidences indicate that ApoEe4 allele and ApoE genotype e3/e4 , e2/e4 and e4/e4 are high risk factors for LOAD in population. DOI: 10.3969/j.issn.1672-6731.2016.01.006