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Genome-Wide Association Study of CSF Levels of 59 Alzheimer's Disease Candidate Proteins: Significant Associations with Proteins Involved in Amyloid Processing and Inflammation
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Cerebrospinal fluid (CSF) 42 amino acid species of amyloid beta (Aβ42) and tau levels are strongly correlated with the presence of Alzheimer's disease (AD) neuropathology including amyloid plaques and neurodegeneration and have been successfully used as endophenotypes for genetic studies of AD. Additional CSF analytes may also serve as useful endophenotypes that capture other aspects of AD pathophysiology. Here we have conducted a genome-wide association study of CSF levels of 59 AD-related analytes. All analytes were measured using the Rules Based Medicine Human DiscoveryMAP Panel, which includes analytes relevant to several disease-related processes. Data from two independently collected and measured datasets, the Knight Alzheimer's Disease Research Center (ADRC) and Alzheimer's Disease Neuroimaging Initiative (ADNI), were analyzed separately, and combined results were obtained using meta-analysis. We identified genetic associations with CSF levels of 5 proteins (Angiotensin-converting enzyme (ACE), Chemokine (C-C motif) ligand 2 (CCL2), Chemokine (C-C motif) ligand 4 (CCL4), Interleukin 6 receptor (IL6R) and Matrix metalloproteinase-3 (MMP3)) with study-wide significant p-values (p<1.46×10-10) and significant, consistent evidence for association in both the Knight ADRC and the ADNI samples. These proteins are involved in amyloid processing and pro-inflammatory signaling. SNPs associated with ACE, IL6R and MMP3 protein levels are located within the coding regions of the corresponding structural gene. The SNPs associated with CSF levels of CCL4 and CCL2 are located in known chemokine binding proteins. The genetic associations reported here are novel and suggest mechanisms for genetic control of CSF and plasma levels of these disease-related proteins. Significant SNPs in ACE and MMP3 also showed association with AD risk. Our findings suggest that these proteins/pathways may be valuable therapeutic targets for AD. Robust associations in cognitively normal individuals suggest that these SNPs also influence regulation of these proteins more generally and may therefore be relevant to other diseases.
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“This dataset represents an expansion of previous CSF pQTL work10,16–19 in both sample size (n=3,506) and number of proteins (n=6,361).”
From Proteogenomic analysis of human cerebrospinal fluid identifies neurologically relevant regulation and implicates causal proteins for Alzheimer’s disease (2024) · cites this paper as [19]
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“cerebrospinal fluid (CSF) levels of the angiotensin-converting enzyme (ACE) are associated with Aβ levels81 and LOAD risk82, and studies show ACE can inhibit Aβ toxicity and aggregation83.”
From Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing (2019) · cites this paper as [82]
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“In a previous GWAS we looked for genetic loci associated with CSF levels of CLU in an overall smaller dataset (n=574) by analyzing each study and performing a meta-analysis, and we found no genome-wide significant associations (Kauwe, et al., 2014)”
From A potential endophenotype for Alzheimer's disease: cerebrospinal fluid clusterin (2016) · cites this paper as Kauwe, et al., 2014
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Influence of Genetic Variation on Plasma Protein Levels in Older Adults Using a Multi-Analyte Panel
Kim, S., Swaminathan, S., Inlow, M. H., Risacher, S. L., Nho, K. T., Shen, L., Foroud, T., Petersen, R. C., Aisen, P. S. S., Soares, H. D., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0070269 · Cited by 55
Decreased soluble interleukin-6 receptor in cerebrospinal fluid of patients with Alzheimer's disease
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Expression of the membrane-type 3 matrix metalloproteinase (MT3-MMP) in human brain tissues
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Kauwe, J. S. K., Cruchaga, C., Bertelsen, S. E., Mayo, K., Latu, W., Nowotny, P., Hinrichs, A. L., Fagan, A. M., Holtzman, D. M., Initiative, A. D. N., et al. (2010) · Journal of Alzheimer s Disease · doi:10.3233/jad-2010-091711 · Cited by 44
Self-citationPeterson, D., Munger, C., Crowley, J., Corcoran, C., Cruchaga, C., Goate, A. M., Norton, M. C., Green, R. C., Munger, R. G., Breitner, J. C. S., et al. (2014) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2013.02.010 · Cited by 44
Self-citationACE variants and association with brain Aβ levels in Alzheimer's disease.
Miners, J. S., Helmond, Z. V., Raiker, M., Love, S., & Kehoe, P. G. (2010) · PubMed Central · Cited by 43
ACE activity in CSF of patients with mild cognitive impairment and Alzheimer disease
He, M., Ohrui, T., Maruyama, M., Tomita, N., Nakayama, K. I., Higuchi, M., Furukawa, K., & Arai, H. (2006) · Neurology · doi:10.1212/01.wnl.0000238102.04582.ec · Cited by 43
D�rr, S., Lechtenböhmer, N., Rau, R., Herborn, G., Wagner, U. G., Müller‐Myhsok, B., Hansmann, I., & Keyszer, G. M. (2004) · Arthritis Research & Therapy · doi:10.1186/ar1164 · Cited by 42
Ning, M., Yang, Y., Zhang, Z., Chen, Z., Zhao, T., Zhang, D., Zhou, D., Xu, J., Liu, Z., Wang, Y., et al. (2010) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0b013e3181e6a575 · Cited by 38
Common variants of ACE contribute to variable age-at-onset of Alzheimer’s disease
Kehoe, P. G., Katzov, H., Andreasen, N., Gatz, M., Wilcock, G. K., Cairns, N. J., Palmgren, J., Fairé, U. D., Brookes, A. J., Pedersen, N. L., et al. (2004) · Human Genetics · doi:10.1007/s00439-004-1093-y · Cited by 37
Bindarit, Inhibitor of CCL2 Synthesis, Protects Neurons Against Amyloid-β-Induced Toxicity
Severini, C., Passeri, P. P., Ciotti, M. T., Florenzano, F., Possenti, R., Zona, C., Matteo, A. D., Guglielmotti, A., Calissano, P., Pachter, J. S., et al. (2013) · Journal of Alzheimer s Disease · doi:10.3233/jad-131070 · Cited by 36
A Multi-Center Study of ACE and the Risk of Late-Onset Alzheimer's Disease
Belbin, O., Brown, K., Shi, H., Medway, C., Abraham, R., Passmore, P., Mann, D., Smith, A. D., Holmes, C., McGuinness, B., et al. (2011) · Journal of Alzheimer's Disease · doi:10.3233/jad-2011-101914 · Cited by 34
An age effect on the association of common variants of ACE with Alzheimer's disease.
Helbecque, N., Codron, V., Cottel, D., & Amouyel, P. (2009) · Neuroscience Letters · doi:10.1016/j.neulet.2009.06.006 · Cited by 34
Flex, A., Gaetani, E., Proia, A. S., Pecorini, G., Straface, G., Biscetti, F., Fioroni, G., Sabusco, A., Flore, R. A., Tondi, P., et al. (2006) · The Journals of Gerontology Series A · doi:10.1093/gerona/61.10.1065 · Cited by 33
Mitochondrial Haplotypes Associated with Biomarkers for Alzheimer’s Disease
Ridge, P. G., Koop, A., Maxwell, T. J., Bailey, M. H., Swerdlow, R. H., Kauwe, J. S. K., Honea, R. A., & Initiative, A. D. N. (2013) · PLoS ONE · doi:10.1371/journal.pone.0074158 · Cited by 30
Self-citationCheng, Y.-C., Kao, W.-H. L., Mitchell, B. D., O’Connell, J. R., Shen, H., McArdle, P. F., Gibson, Q., Ryan, K. A., Shuldiner, A. R., & Pollin, T. I. (2009) · Circulation Cardiovascular Genetics · doi:10.1161/circgenetics.108.834986 · Cited by 25
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Haplotypes Across ACE and the Risk of Alzheimer's Disease: The Three-City Study
Bruandet, A., Richard, F., Tzourio, C., Berr, C., Dartigues, J., Alpérovitch, A., Amouyel, P., & Helbecque, N. (2008) · Journal of Alzheimer's Disease · doi:10.3233/jad-2008-13310 · Cited by 19
Wang, M., Song, H., & Jia, J. (2010) · Brain Research · doi:10.1016/j.brainres.2010.02.067 · Cited by 15
Matrix metalloproteinase 3 haplotypes and dementia and Alzheimer's disease
Reitz, C., van Rooij, F. J. A., de Maat, M. P. M., den Heijer, T., Albert Hofman, D., Witteman, J. C. M., & Breteler, M. M. B. (2007) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2007.01.001 · Cited by 11
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Genetic Discoveries in AD Using CSF Amyloid and Tau
Cruchaga, C., Ebbert, M., & Kauwe, J. S. K. (2014) · Current Genetic Medicine Reports · doi:10.1007/s40142-014-0031-0 · Cited by 11
Self-citationCALHM1 P86L polymorphism does not alter amyloid-β or tau in cerebrospinal fluid
Giedraitis, V., Glaser, A., Sarajärvi, T., Brundin, R., Gunnarsson, M. D., Schjeide, B. M., Tanzi, R. E., Helisalmi, S., Pirttilä, T., Kilander, L., et al. (2009) · Neuroscience Letters · doi:10.1016/j.neulet.2009.12.011 · Cited by 9
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Self-citation
Flagged first, then by citations
1 of the 106 references couldn’t be matched to a known paper.
Research works printed but not linked: 2
- D Peterson, 2013, Variants in PPP3R1 and MAPT are associated with more rapid functional decline in Alzheimer's disease: The Cache County Dementia Progression Study, Alzheimers Dement, 10, 366, 10.1016/j.jalz.2013.02.010 · DOI · Paper page
- G Abecasis, 2007, Metal—Meta Analysis Helper, Center for Statistical Genetics
Cited by
Sorted by citations
Alzheimer Disease Genetics Consortium (ADGC), Kunkle, B. W., The European Alzheimer’s Disease Initiative (EADI), Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium (CHARGE), Genetic and Environmental Risk in AD/Defining Genetic, P. A. E. R. F. A. D. C. (., Grenier-Boley, B., Sims, R., Bis, J. C., Damotte, V., Naj, A. C., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0358-2 · Cited by 2,946
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GWAS on family history of Alzheimer’s disease
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Self-citationGenetics meets proteomics: perspectives for large population-based studies
Suhre, K., McCarthy, M. I., & Schwenk, J. M. (2021) · Nature Reviews Genetics · doi:10.1038/s41576-020-0268-2 · Cited by 478
Cerebrospinal fluid soluble TREM2 is higher in Alzheimer disease and associated with mutation status
Piccio, L., Deming, Y., Del-Águila, J. L., Ghezzi, L., Holtzman, D. M., Fagan, A. M., Fenoglio, C., Galimberti, D., Borroni, B., & Cruchaga, C. (2016) · Acta Neuropathologica · doi:10.1007/s00401-016-1533-5 · Cited by 337
Self-citation
Metadata
- Authors
- Kauwe, J. S. K., Bailey, M. H., Ridge, P. G., Perry, R., Wadsworth, M. E., Hoyt, K. L., Staley, L. A., Karch, C. M., Harari, O., Cruchaga, C., Ainscough, B. J., Bales, K., Pickering, E. H., Bertelsen, S., Initiative, T. A. D. N., Fagan, A. M., Holtzman, D. M., Morris, J. C., & Goate, A. M.
- Affiliations
- Brigham Young University (US)
- Washington University in St. Louis (US)
- Pfizer (United States) (US)
- Corresponding author
- Goate, Alison M.
- ORCID
- Venue
- PLoS Genetics
- Publisher
- Public Library of Science (PLoS)
- Published
- 2014-10-23
- Volume
- 10
- Issue
- 10
- Pages
- e1004758
- ISSN
- 1553-7390 (ISSN-L)
- 1553-7404
- PMC
- PMC4207667
- OpenAlex
- W2028156288
- Cited by
- 125
- References
- 106
- Citations by year
- 2026: 3 · 2025: 7 · 2024: 8 · 2023: 13 · 2022: 8 · 2021: 16 · 2020: 13 · 2019: 11 · 2018: 9 · 2017: 14 · 2016: 15 · 2015: 7 · 2014: 1
- FWCI
- 8.20
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS Genetics (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Digital Commons@Becker (Washington University School of Medicine) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Funders
- U.S. Department of Defense (U01 AG024904, W81XWH, W81XWH-12-2-, W81XWH1220012, AG024904)
- Foundation for the National Institutes of Health (W81XWH-12-2-0012, U01AG024904, Grant U01 AG024904, UL1TR000448, U24 AG021886, AG024904, U01 AG016976, N01-AG-12100)
- Alzheimer's Association (U01 AG016976, U01 AG032984, AG05681, U01 AG024904, ADGC-10–196728, U24AG021886, AG033193, MNIRG-11-205368, W81XWH-12-2-0012)
- Bristol-Myers Squibb (U01 AG024904, AG024904, W81XWH-12-2-0012)
- Eli Lilly and Company (U01 AG024904, AG024904, W81XWH-12-2-0012)
- Pfizer (AG024904, W81XWH-12-2-0012, U01 AG024904)
- Biogen (W81XWH-12-2-0012, U01 AG024904, AG024904)
- University of Southern California (W81XWH-12-2-0012, U01 AG024904)
- BrightFocus Foundation (A2013359S)
- Brigham Young University
- F. Hoffmann-La Roche (W81XWH-12-2-0012, AG024904, U01 AG024904)
- Medpace (U01 AG024904)
- Meso Scale Diagnostics (U01 AG024904, AG024904, W81XWH-12-2-0012)
- Synarc (U01 AG024904)
- Alzheimer's Disease Neuroimaging Initiative (W81XWH-12-2–0012, U01 AG032984, U01AG024904, AG024904, W81XWH-12-2-, Department of Defense award number W81XWH-12-2-0012)
- BioClinica (U01 AG024904, W81XWH-12-2-0012, AG024904)
- Institute of Clinical and Translational Sciences (UL1TR000448)
- Novartis Pharmaceuticals Corporation (W81XWH-12-2-0012, U01 AG024904, AG024904)
- Northern California Institute for Research and Education (U01 AG024904, W81XWH-12-2-0012)
- Wellcome Trust (082604/2/07/Z, 082604, GR082604MA)
- Development of Innovative Strategies for a Transdisciplinary approach to ALZheimer's disease
- Institut National de la Santé et de la Recherche Médicale
- Bundesministerium für Bildung und Forschung (01GI0102, 01GI0711, 01GI0420)
- Erasmus Medisch Centrum
- Eisai (W81XWH-12-2-0012, U01 AG024904, AG024904)
- Servier (AG024904, W81XWH-12-2-0012, U01 AG024904)
- Hjartavernd (N01-AG-1-2100)
- Centre hospitalier régional universitaire de Lille
- IXICO (AG024904, W81XWH-12-2-0012, U01 AG024904)
- National Institutes of Health (n01ag12100-57-0-2, 3u01ag024904-10s2, MNIRG-11-205368, N01-AG-1-2100, W81XWH, UL1TR000448, W81XWH-12-2-0012, NIA AG081220, AG016976, U01-AG024904, AG05681, Grant U01 AG024904, TR000448, AG024904, AG 03991)
- Genentech (W81XWH-12-2-0012, AG024904, U01 AG024904)
- University of California, San Diego
- Canadian Institutes of Health Research (U01 AG024904, W81XWH-12-2-0012)
- Medical Research Council (MR/L501517/1, 503480, U01 AG024904, MR/L010305/1, MR/K013041/1, G0300429)
- National Institute on Aging (U01-AG-024904, AG 016976, R01AG042611, AG03991, W81XWH-12-2–0012, N01-AG12100, R01 AG035053, AG 024904, AG081220, U01AG016976, NIA AG081220, AG 05681, U01AG032984, AG033193, P 50 AG05681, AG026276, AG032984, P50AG005681, P01 AG0 3991, P01AG003991, R01AG033193, AG021886, P01AG026276, U24AG021886)
- National Heart, Lung, and Blood Institute (HL-105756, TR000448, R01HL105756, AG033193)
- National Cancer Institute (T32CA113275)
- National Institute of Biomedical Imaging and Bioengineering (W81XWH-12-2-0012, U01 AG024904, AG024904)
- National Center for Advancing Translational Sciences (TR000448)
- 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 › Genetics › Genetic Associations and Epidemiology
- Keywords
- Alzheimer's disease, cerebrospinal fluid biomarkers, amyloid processing, inflammation, angiotensin-converting enzyme, IL-6 receptor, matrix metalloproteinase-3, MCP-1, carbon tetrachloride, chemokines, single nucleotide polymorphisms, genetic association, endophenotypes, therapeutic target
- MeSH terms
- Alzheimer Disease, Blood Proteins, Female, Humans, Male, Renin, Amyloid beta-Peptides, tau Proteins, Receptors, Lipoprotein, Chemokine CCL2, Matrix Metalloproteinase 3, Receptors, Interleukin-6, Polymorphism, Single Nucleotide, Nerve Growth Factor, Chemokine CCL4, 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.
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