The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Alzheimer’s Disease Variants with the Genome-Wide Significance are Significantly Enriched in Immune Pathways and Active in Immune Cells
Abstract
The existing large-scale genome-wide association studies (GWAS) datasets provide strong support for investigating the mechanisms of Alzheimer's disease (AD) by applying multiple methods of pathway analysis. Previous studies using selected single nucleotide polymorphisms (SNPs) with several thresholds of nominal significance for pathway analysis determined that the threshold chosen for SNPs can reflect the disease model. Presumably, then, pathway analysis with a stringent threshold to define "associated" SNPs would test the hypothesis that highly associated SNPs are enriched in one or more particular pathways. Here, we selected 599 AD variants (P < 5.00E-08) to investigate the pathways in which these variants are enriched and the cell types in which these variants are active. Our results showed that AD variants are significantly enriched in pathways of the immune system. Further analysis indicated that AD variants are significantly enriched for enhancers in a number of cell types, in particular the B-lymphocyte, which is the most substantially enriched cell type. This cell type maintains its dominance among the strongest enhancers. AD SNPs also display significant enrichment for DNase in 12 cell types, among which the top 6 significant signals are from immune cell types, including 4 B cells (top 4 significant signals) and CD14+ and CD34+ cells. In summary, our results show that these AD variants with P < 5.00E-08 are significantly enriched in pathways of the immune system and active in immune cells. To a certain degree, the genetic predisposition for development of AD is rooted in the immune system, rather than in neuronal cells.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The gene coding is related to Alzheimer’s disease [37,38,39].”
From An Efficient Classifier for Alzheimer’s Disease Genes Identification (2018) · cites this paper as [38]
Citations
Cites
Meta-Analysis of 74,046 Individuals Identifies 11 New Susceptibility Loci for Alzheimer’s Disease
(EADI), E. A. D. I., Lambert, J.-C., (GERAD), G. A. E. R. I. A. D., Alzheimer's Disease Genetic Consortium (ADGC), (CHARGE), C. F. H. A. A. R. I. G. E., Ibrahim-Verbaas, C. A., Harold, D., Naj, A. C., Sims, R., Bellenguez, C., et al. (2013) · Nature Genetics · doi:10.1038/ng.2802 · Cited by 4,336
Hindorff, L. A., Sethupathy, P., Junkins, H. A., Ramos, E. M., Mehta, J. P., Collins, F. S., & Manolio, T. A. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0903103106 · Cited by 4,013
Ward, L. D., & Kellis, M. (2012) · Nucleic Acids Research · doi:10.1093/nar/gkr917 · Cited by 2,229
WebGestalt: an integrated system for exploring gene sets in various biological contexts
Zhang, B., Kirov, S. A., & Snoddy, J. R. (2005) · Nucleic Acids Research · doi:10.1093/nar/gki475 · Cited by 1,803
The Genetics of Alzheimer Disease: Back to the Future
Bertram, L., Lill, C. M., & Tanzi, R. E. (2010) · Neuron · doi:10.1016/j.neuron.2010.10.013 · Cited by 834
Jones, L., Holmans, P. A., Hamshere, M. L., Harold, D., Moskvina, V., Ivanov, D., Pocklington, A., Abraham, R., Hollingworth, P., Sims, R., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013950 · Cited by 606
Conserved epigenomic signals in mice and humans reveal immune basis of Alzheimer's disease
Gjoneska, E., Pfenning, A. R., Mathys, H., Quon, G., Kundaje, A., Tsai, L.-H., & Kellis, M. (2015) · Nature · doi:10.1038/nature14252 · Cited by 576
Convergent genetic and expression data implicate immunity in Alzheimer's disease
International Genomics of Alzheimer's Disease Consortium (IGAP), Jones, L., Lambert, J., Wang, L., Choi, S., Harold, D., Vedernikov, A., Escott‐Price, V., Stone, T., Richards, A., et al. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2014.05.1757 · Cited by 199
Genome-wide Association Study Identifies Candidate Genes for Male Fertility Traits in Humans
Kosova, G., Scott, N. M., NIEDERBERGER, C. S., Prins, G. S., & Ober, C. (2012) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2012.04.016 · Cited by 149
Implication of the Immune System in Alzheimer's Disease: Evidence from Genome-Wide Pathway Analysis
Lambert, J.-C., Grenier-Boley, B., Chouraki, V., Heath, S., Zelenika, D., Fievet, N., Hannequin, D., Pasquier, F., Hanon, O., Brice, A., et al. (2010) · Journal of Alzheimer's Disease · doi:10.3233/jad-2010-100018 · Cited by 144
Cited by
Sorted by citations
Nano Biosensors: Properties, applications and electrochemical techniques
Huang, X., Zhu, Y., & Kianfar, E. (2021) · Journal of Materials Research and Technology · doi:10.1016/j.jmrt.2021.03.048 · Cited by 511
Zhao, Y., Jaber, V., & Lukiw, W. J. (2017) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2017.00318 · Cited by 379
B cells in autoimmune and neurodegenerative central nervous system diseases
Sabatino, J. J., Pröbstel, A., & Zamvil, S. S. (2019) · Nature reviews. Neuroscience · doi:10.1038/s41583-019-0233-2 · Cited by 361
Distance-based Support Vector Machine to Predict DNA N6- methyladenine Modification
Zhang, H., Zou, Q., Ju, Y., Song, C., & Chen, D. (2022) · Current Bioinformatics · doi:10.2174/1574893617666220404145517 · Cited by 323
Bacteroides fragilis Lipopolysaccharide and Inflammatory Signaling in Alzheimer’s Disease
Lukiw, W. J. (2016) · Frontiers in Microbiology · doi:10.3389/fmicb.2016.01544 · Cited by 294
Metadata
- Authors
- Jiang, Q., Jin, S., Jiang, Y., Liao, M., Feng, R., Zhang, L., Liu, G., & Hao, J.
- Affiliations
- Harbin Institute of Technology (CN)
- Harbin Medical University (CN)
- Rice University (US)
- Chinese Academy of Sciences (CN)
- Tianjin Medical University General Hospital (CN)
- Corresponding author
- Liu, Guiyou
- Venue
- Molecular Neurobiology
- Published
- 2016-01-09
- Volume
- 54
- Issue
- 1
- Pages
- 594-600
- ISSN
- 0893-7648 (ISSN-L)
- 1559-1182
- OpenAlex
- W2231149964
- Cited by
- 132
- References
- 21
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 4 · 2023: 2 · 2022: 23 · 2021: 41 · 2020: 5 · 2019: 15 · 2018: 17 · 2017: 14 · 2016: 8
- FWCI
- 14.47
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Molecular Neurobiology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Nature Science Foundation of China (81300945, 61571152)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Keywords
- Alzheimer's disease, genome-wide association study, single nucleotide polymorphisms, pathway enrichment, immune pathways, enhancers, DNase I hypersensitivity, B cells, CD14+ monocytes, CD34+ cells, immune cells, genetic susceptibility, cell type-specific gene expression
- MeSH terms
- Alzheimer Disease, Humans, Immunity, Cellular, Immune System Diseases, Genetic Variation, Genetic Predisposition to Disease, Databases, Genetic, Genome-Wide Association Study
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review