| Literature DB >> 29504051 |
Jucimara Ferreira Figueiredo Almeida1,2,3, Lígia Ramos Dos Santos4, Maira Trancozo4,5, Flavia de Paula4,5.
Abstract
Genome-wide association studies (GWAS) have associated several genetic variants with late-onset Alzheimer's disease (LOAD), a neurodegenerative disease. Among those, rs3764650 ABCA7, rs6656401 CR1, and rs744373 BIN1 were associated as risk factors for LOAD, while rs11136000 CLU and rs610932 MS4A6A were protective. Recently, several case-control studies have investigated the association of these polymorphisms with AD. However, not all meta-analyses analyzed these variants across different ethnic groups. Therefore, we performed an updated meta-analysis of rs3764650 ABCA7, rs6656401 CR1, rs744373 BIN1, rs11136000 CLU, and rs610932 MS4A6A variants associated with LOAD, considering different ethnic populations. We utilized samples from 38 articles, comprising a total of 24,771 patients and 35,324 controls obtained through the PubMed database. Odds ratios (ORs) with 95% confidence intervals (CI) for polymorphisms were calculated by allelic comparison as an additive genetic model. We validated the risk for LOAD with BIN1 (rs744373), CR1 (rs6656401), and ABCA7 (rs376465), as well as the protective association for MS4A6A (rs610932) and CLU (rs11136000) variants.Entities:
Keywords: Alzheimer’s disease; GWAS SNPs; LOAD; Meta-analysis
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Year: 2018 PMID： 29504051 DOI： 10.1007/s12031-018-1045-y
Source DB: PubMed Journal: J Mol Neurosci ISSN： 0895-8696 Impact factor: 3.444