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Original Research ARTICLE Provisionally accepted The full-text will be published soon. Notify me

Front. Genet. | doi: 10.3389/fgene.2018.00703

Identification of Alzheimer’s Disease-related genes based on data integration method

  • 1Harbin Institute of Technology, China
  • 2General Hospital of Heilongjiang Province Land Reclamation Bureau, China
  • 3Harbin Medical University, China

Alzheimer disease (AD) is the fourth major cause of death in the elderly following cancer, heart disease and cere-brovascular disease. Finding candidate causal genes can help human design Gene targeted drugs and effectively reduce the risk of the disease. Complex diseases such as AD are usual-ly caused by multiple genes. By Genome-wide association study (GWAS), human has identified the pote dntial genetic variants for most diseases. However, because of the exist-ence of linkage disequilibrium (LD), it is difficult to identi-fy the causative mutations that directly cause diseases. In this study, we combined expression quantitative trait locus (eQTL) studies with GWAS to find the genes causing Alz-heimer disease from a comprehensive level. The method used in this paper is Summary Mendelian randomization (SMR) which is a novel method to integrate summary data. Two GWAS studies and five eQTL studies are used in this paper. We find out several candidate SNPs which have strong relationship with AD and most of these SNPs over-lap in different data sets, which proves that the reliability is relatively high.

Keywords: Alzhcimer's disease, SNPs (single nucleotide polymorphisms), Mendelian randomisation, GWAS, eQTL

Received: 15 Oct 2018; Accepted: 14 Dec 2018.

Edited by:

Yan Huang, Harvard Medical School, United States

Reviewed by:

Hao Lin, University of Electronic Science and Technology of China, China
Lei Deng, Central South University, China  

Copyright: © 2018 Hu, Zhao, Zang, Zhang and Cheng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Prof. Tianyi Zang, Harbin Institute of Technology, Harbin, China, tianyi.zang@hit.edu.cn
Mrs. Ying Zhang, General Hospital of Heilongjiang Province Land Reclamation Bureau, Harbin, China, zhangying_hmu@163.com
Prof. Liang Cheng, Harbin Medical University, Harbin, 130012, Heilongjiang, China, liangcheng@hrbmu.edu.cn