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      Functional annotation of Alzheimer's disease associated loci revealed by GWASs

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          Abstract

          Genome-wide association studies (GWASs) discovered a number of SNPs and genes associated with Alzheimer's disease (AD). However, how these SNPs and genes influence the liability to AD is not fully understood. We deployed computational approaches to explore the function and action mechanisms of AD -related SNPs and genes identified by GWASs, including the effects of 195 GWAS lead SNPs and 338 proxy SNPs on miRNAs binding and protein phosphorylation, their RegulomeDB and 3DSNP scores, and gene ontology, pathway enrichment and protein-protein interaction network of 126 AD-associated genes. Our computational analysis identified 6 lead SNPs (rs10119, rs1048699, rs148763909, rs610932, rs6857 and rs714948) and 2 proxy SNPs (rs12539172 and rs2847655) that potentially impacted the miRNA binding. Lead SNP rs2296160 and proxy SNPs rs679620 and rs2228145 were identified as PhosSNPs potentially influencing protein phosphorylation. AD-associated genes showed enrichment of “regulation of beta-amyloid formation”, “regulation of neurofibrillary tangle assembly”, “leukocyte mediated immunity” and “protein-lipid complex assembly” signaling pathway. Protein-protein interaction network and functional module analyses identified highly-interconnected “hub” genes ( APOE, PICALM, BIN1, ABCA7, CD2AP, CLU, CR1, MS4A4E and MS4A6A) and bottleneck genes ( APOE, TOMM40, NME8, PICALM, CD2AP, ZCWPW1, FAM180B, GAB2 and PTK2B) that created three tight subnetworks. Our results provided the targets for further experimental assessment and further insight on AD pathophysiology.

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          Most cited references21

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          Natural and engineered nicking endonucleases—from cleavage mechanism to engineering of strand-specificity

          Restriction endonucleases (REases) are highly specific DNA scissors that have facilitated the development of modern molecular biology. Intensive studies of double strand (ds) cleavage activity of Type IIP REases, which recognize 4–8 bp palindromic sequences, have revealed a variety of mechanisms of molecular recognition and catalysis. Less well-studied are REases which cleave only one of the strands of dsDNA, creating a nick instead of a ds break. Naturally occurring nicking endonucleases (NEases) range from frequent cutters such as Nt.CviPII (^CCD; ^ denotes the cleavage site) to rare-cutting homing endonucleases (HEases) such as I-HmuI. In addition to these bona fida NEases, individual subunits of some heterodimeric Type IIS REases have recently been shown to be natural NEases. The discovery and characterization of more REases that recognize asymmetric sequences, particularly Types IIS and IIA REases, has revealed recognition and cleavage mechanisms drastically different from the canonical Type IIP mechanisms, and has allowed researchers to engineer highly strand-specific NEases. Monomeric LAGLIDADG HEases use two separate catalytic sites for cleavage. Exploitation of this characteristic has also resulted in useful nicking HEases. This review aims at providing an overview of the cleavage mechanisms of Types IIS and IIA REases and LAGLIDADG HEases, the engineering of their nicking variants, and the applications of NEases and nicking HEases.
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            Implication of the immune system in Alzheimer's disease: evidence from genome-wide pathway analysis.

            The results of several genome-wide association studies (GWASs) in the field of Alzheimer's disease (AD) have recently been published. Although these studies reported in detail on single-nucleotide polymorphisms (SNPs) and the neighboring genes with the strongest evidence of association with AD, little attention was paid to the rest of the genome. However, complementary statistical and bio-informatics approaches now enable the extraction of pertinent information from other SNPs and/or genes which are only nominally associated with the disease risk. Two different tools (the ALIGATOR and GenGen/KEGG software packages) were used to analyze a large GWAS dataset containing 2,032 AD cases and 5,328 controls. Convergent outputs from the two gene set enrichment approaches suggested an immune system dysfunction in AD. Furthermore, although these statistical approaches did not adopt a priori hypotheses concerning a biological function's putative role in the disease process, genes associated with AD risk were overrepresented in the "Alzheimer's disease" KEGG pathway. In conclusion, a systematic search for biological pathways using GWAS data set seems to comfort the primary causes already suspected but may specifically highlight the importance of the immune system in AD.
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              Leveraging cross-species transcription factor binding site patterns: from diabetes risk loci to disease mechanisms.

              Genome-wide association studies have revealed numerous risk loci associated with diverse diseases. However, identification of disease-causing variants within association loci remains a major challenge. Divergence in gene expression due to cis-regulatory variants in noncoding regions is central to disease susceptibility. We show that integrative computational analysis of phylogenetic conservation with a complexity assessment of co-occurring transcription factor binding sites (TFBS) can identify cis-regulatory variants and elucidate their mechanistic role in disease. Analysis of established type 2 diabetes risk loci revealed a striking clustering of distinct homeobox TFBS. We identified the PRRX1 homeobox factor as a repressor of PPARG2 expression in adipose cells and demonstrate its adverse effect on lipid metabolism and systemic insulin sensitivity, dependent on the rs4684847 risk allele that triggers PRRX1 binding. Thus, cross-species conservation analysis at the level of co-occurring TFBS provides a valuable contribution to the translation of genetic association signals to disease-related molecular mechanisms. Copyright © 2014 Elsevier Inc. All rights reserved.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                26 June 2017
                2017
                : 12
                : 6
                : e0179677
                Affiliations
                [001]School of Life Sciences, Central China Normal University, Wuhan, China
                Nathan S Kline Institute, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                • Conceptualization: QH.

                • Data curation: ZH HH YG.

                • Formal analysis: ZH HH YG QH.

                • Funding acquisition: ZH QH.

                • Investigation: ZH HH.

                • Methodology: QH ZH HH.

                • Project administration: ZH QH.

                • Resources: ZH HH YG.

                • Software: ZH HH.

                • Supervision: QH.

                • Visualization: ZH HH.

                • Writing – original draft: QH ZH HH.

                • Writing – review & editing: QH.

                Author information
                http://orcid.org/0000-0001-8274-4588
                Article
                PONE-D-16-48239
                10.1371/journal.pone.0179677
                5484478
                28650998
                c161bcaf-75e7-40bd-ab8d-42d4f85803bc
                © 2017 Han et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 14 December 2016
                : 4 June 2017
                Page count
                Figures: 5, Tables: 4, Pages: 14
                Funding
                This work was supported by the National Natural Science Foundation of China (No. 31371275), Students Innovation Training Plan Project of Central China Normal University (No. B2015186) and self-determined research funds of Central China Normal University (No. CCNU16JCZX03). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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                Research Article
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

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