Literature DB >> 31659653

ABCA7 and EphA1 Genes Polymorphisms in Late-Onset Alzheimer's Disease.

Mahnaz Talebi1, Azra Delpak1, Mohamad Khalaj-Kondori2, Saeed Sadigh-Eteghad1, Malihe Talebi3, Elham Mehdizadeh1, Alireza Majdi4.   

Abstract

Large-scale genome-wide studies have revealed the role of several genes and their respective single-nucleotide polymorphisms (SNPs) in the pathophysiology of late-onset Alzheimer's disease (LOAD). Here, the frequencies of ABCA7 SNPs rs3764650 and rs4147929 and EphA1 SNP rs11771145 were assessed and compared in LOAD patients and healthy subjects. In a case-control study, 110 patients with LOAD (case) and 88 healthy unrelated age- and gender-matched individuals (control), both from Azeri descent, were enrolled. DNA was extracted from blood samples using the salting out method, and the genotyping was performed by RFLP-PCR for rs3764650, rs4147929, and rs11771145 polymorphisms. Electrophoresis was carried out on agarose gel. Sequencing was utilized for confirmation of the results. No differences were found in the frequencies of ABCA7 SNP rs3764650 and EphA1 SNP rs11771145 between healthy subjects and LOAD patients. However, a significant difference was revealed in the frequencies of AA (p = 0.042, OR = 0.150; 95%CI = 0.005-1.410) and GG (p = 0.009, OR = 1.716; 95%CI = 0.918-3.218) genotypes of ABCA7 SNP rs4147929 between the mentioned groups. This study showed that ABCA7 SNP rs4147929 might be a predisposing factor for LOAD. However, such an association was not found between ABCA7 SNP rs3764650 as well as EphA1 SNP rs11771145 and LOAD. These results must be confirmed in other ethnic groups.

Entities:  

Keywords:  ABCA7; Association; EPHA1; Late-onset Alzheimer’s disease; Single-nucleotide polymorphism

Year:  2019        PMID: 31659653     DOI: 10.1007/s12031-019-01420-x

Source DB:  PubMed          Journal:  J Mol Neurosci        ISSN: 0895-8696            Impact factor:   3.444


  5 in total

1.  Analysis of Genetic Association Between ABCA7 Polymorphism and Alzheimer's Disease Risk in the Southern Chinese Population.

Authors:  Lijun Wang; Yang Jiao; Aonan Zhao; Xiaomeng Xu; Guanyu Ye; Yichi Zhang; Ying Wang; Yulei Deng; Wei Xu; Jun Liu
Journal:  Front Aging Neurosci       Date:  2022-05-25       Impact factor: 5.702

2.  Evaluation of Utilizing the Distinct Genes as Predictive Biomarkers in Late-Onset Alzheimer's Disease.

Authors:  Sercan Kenanoglu; Nefise Kandemir; Hilal Akalin; Nuriye Gokce; Mehmet F Gol; Murat Gultekin; Emel Koseoglu; Meral Mirza; Munis Dundar
Journal:  Glob Med Genet       Date:  2022-03-08

Review 3.  Insights into the mechanisms of non-coding RNAs' implication in the pathogenesis of Alzheimer's disease.

Authors:  Majid Khodayi-Shahrak; Mohammad Khalaj-Kondori; Mohammad Ali Hosseinpour Feizi; Mahnaz Talebi
Journal:  EXCLI J       Date:  2022-06-30       Impact factor: 4.022

4.  Plasma lncRNA profiling identified BC200 and NEAT1 lncRNAs as potential blood-based biomarkers for late-onset Alzheimer's disease.

Authors:  Majid Khodayi; Mohammad Khalaj-Kondori; Mohammad Ali Hoseinpour Feizi; Mortaza Jabarpour Bonyadi; Mahnaz Talebi
Journal:  EXCLI J       Date:  2022-05-09       Impact factor: 4.022

5.  Genetic and polygenic risk score analysis for Alzheimer's disease in the Chinese population.

Authors:  Xiaopu Zhou; Yu Chen; Fanny C F Ip; Nicole C H Lai; Yolanda Y T Li; Yuanbing Jiang; Huan Zhong; Yuewen Chen; Yulin Zhang; Shuangshuang Ma; Ronnie M N Lo; Kit Cheung; Estella P S Tong; Ho Ko; Maryam Shoai; Kin Y Mok; John Hardy; Vincent C T Mok; Timothy C Y Kwok; Amy K Y Fu; Nancy Y Ip
Journal:  Alzheimers Dement (Amst)       Date:  2020-08-05
  5 in total

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