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Article type: Short Communication
Authors: Gao, Lei1 | Cui, Zhen1 | Shen, Liang* | Ji, Hong-Fang*
Affiliations: Shandong Provincial Research Center for Bioinformatic Engineering and Technique, School of Life Sciences, Shandong University of Technology, Zibo, P. R. China
Correspondence: [*] Correspondence to: Correspondence to: Liang Shen and Hong-Fang Ji, Shandong Provincial Research Center for Bioinformatic Engineering and Technique, School of Life Sciences, Shandong University of Technology, Zibo, P.R. China. Tel./Fax: +86 533 2782220; E-mails: [email protected], [email protected].
Note: [1] These authors contributed equally to the work.
Abstract: Type 2 diabetes (T2D) and Alzheimer’s disease (AD) are two major health issues, and increasing evidence in recent years supports the close connection between these two diseases. The present study aimed to explore the shared genetic etiology underlying T2D and AD based on the available genome wide association studies (GWAS) data collected through August 2014. We performed bioinformatics analyses based on GWAS data of T2D and AD on single nucleotide polymorphisms (SNPs), gene, and pathway levels, respectively. Six SNPs (rs111789331, rs12721046, rs12721051, rs4420638, rs56131196, and rs66626994) were identified for the first time to be shared genetic factors between T2D and AD. Further functional enrichment analysis found lipid metabolism related pathways to be common between these two disorders. The findings may have important implications for future mechanistic and interventional studies for T2D and AD.
Keywords: Alzheimer’s disease, bioinformatics, genetic basis, genome wide association studies, SNPs, type 2 diabetes
DOI: 10.3233/JAD-150580
Journal: Journal of Alzheimer's Disease, vol. 50, no. 1, pp. 13-17, 2016
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