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Meta-Analysis
. 2018 Mar;64(3):471-477.
doi: 10.1007/s12031-018-1045-y. Epub 2018 Mar 4.

Updated Meta-Analysis of BIN1, CR1, MS4A6A, CLU, and ABCA7 Variants in Alzheimer's Disease

Jucimara Ferreira Figueiredo Almeida  1   2   3 , Lígia Ramos Dos Santos  4 , Maira Trancozo  4   5 , Flavia de Paula  4   5
Affiliations
Meta-Analysis

Updated Meta-Analysis of BIN1, CR1, MS4A6A, CLU, and ABCA7 Variants in Alzheimer's Disease

Jucimara Ferreira Figueiredo Almeida et al. J Mol Neurosci. 2018 Mar.

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.

Keywords: Alzheimer’s disease; GWAS SNPs; LOAD; Meta-analysis.

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