Research Papers: Gerotarget (Focus on Aging):
Detecting the genetic link between Alzheimer’s disease and obesity using bioinformatics analysis of GWAS data
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Abstract
Qi-Shuai Zhuang1,*, Hao Zheng1,*, Xiao-Dan Gu1, Liang Shen1 and Hong-Fang Ji1
1 Shandong Provincial Research Center for Bioinformatic Engineering and Technique, School of Life Sciences, Shandong University of Technology, Zibo, P. R. China
* These authors have contributed equally to the work
Correspondence to:
Liang Shen, email:
Hong-Fang Ji, email:
Keywords: Alzheimer’s disease, obesity, bioinformatics, genome-wide association studies, single nucleotide polymorphisms, Gerotarget
Received: April 07, 2017 Accepted: June 18, 2017 Published: July 08, 2017
Abstract
Alzheimer’s disease (AD) represents the major form of dementia in the elderly. In recent years, accumulating evidence indicate that obesity may act as a risk factor for AD, while the genetic link between the two conditions remains unclear. This bioinformatics analysis aimed to detect the genetic link between AD and obesity on single nucleotide polymorphisms (SNPs), gene, and pathway levels based on genome-wide association studies data. A total of 31 SNPs were found to be shared by AD and obesity, which were linked to 7 genes. These genes included PSMC3, CELF1, MYBPC3, SPI1, APOE, MTCH2 and RAPSN. Further functional enrichment analysis of these genes revealed the following biological pathways, including proteasome, osteoclast differentiation, hypertrophic cardiomyopathy, dilated cardiomyopathy, Epstein-Barr virus and TLV-I infection, as well as several cancer associated pathways, to be common among AD and obesity. The findings deepened our understanding on the genetic basis linking obesity and AD and may help shape possible prevention and treatment strategies.
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