Cited by 366Alzheimer's disease research and treatmentsDementia and Cognitive Impairment ResearchGenetic Associations and Epidemiology

Integrating human brain proteomes with genome-wide association data implicates new proteins in Alzheimer’s disease pathogenesis

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Wingo, Aliza P., Liu, Yue, Gerasimov, Ekaterina S., Gockley, Jake, Logsdon, Benjamin A., Duong, Duc M., Dammer, Eric B., Robins, Chloe +9 more·2021·Nature Genetics

Abstract

Genome-wide association studies (GWAS) have identified many risk loci for Alzheimer's disease (AD)1,2, but how these loci confer AD risk is unclear. Here, we aimed to identify loci that confer AD risk through their effects on brain protein abundance to provide new insights into AD pathogenesis. To that end, we integrated AD GWAS results with human brain proteomes to perform a proteome-wide association study (PWAS) of AD, followed by Mendelian randomization and colocalization analysis. We identified 11 genes that are consistent with being causal in AD, acting via their cis-regulated brain protein abundance. Nine replicated in a confirmation PWAS and eight represent new AD risk genes not identified before by AD GWAS. Furthermore, we demonstrated that our results were independent of APOE e4. Together, our findings provide new insights into AD pathogenesis and promising targets for further mechanistic and therapeutic studies.

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  • The brain significance of ACE and CTSH reinforces the relevance of CSF to brain biology.

    “reinforcing the relevance of CSF to brain biology46.”

    From Proteogenomic analysis of human cerebrospinal fluid identifies neurologically relevant regulation and implicates causal proteins for Alzheimer’s disease (2024) · cites this paper as [46]

    The introductory results identify CTSH as having evidence consistent with a causal role in Alzheimer’s disease and ACE as having mixed evidence in the brain-protein analysis (page unavailable). They do not examine CSF or establish that these findings demonstrate the relevance of CSF to brain biology. (LLM, conf=0.82)

    Experimental — accuracy not yet measured
  • A recent proteome-wide association study in LOAD showed that brains of LOAD patients from the ROS-MAP cohort had increased levels of RTFDC1 compared to unaffected controls.

    “This direction of effect is consistent with a recent proteome-wide association study in LOAD showing that the brains of LOAD patients from the ROS-MAP cohort presented with increased levels of RTFDC1 when compared to unaffected controls71.”

    From Variant-to-function mapping of late-onset Alzheimer’s disease GWAS signals in human microglial cell models implicates <i>RTFDC1</i> at the <i>CASS4</i> locus (2024) · cites this paper as [71]

    The introductory results and Methods describe a proteome-wide association study using ROS/MAP brain samples and identify RTFDC1 among proteins implicated in Alzheimer’s disease. They do not report that ROS/MAP patients with late-onset Alzheimer’s had higher measured RTFDC1 levels than unaffected controls; the reported association concerns genetically regulated protein abundance, not a direct patient–control comparison. (LLM, conf=0.84)

    Experimental — accuracy not yet measured

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Research works printed but not linked: 29

  1. [1]Jansen IE, Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer’s disease risk. Nature genetics 51, 404– 413 (2019). 30617256 PMC6836675
  2. [3]Ballard C, Alzheimer’s disease. Lancet (London, England) 377, 1019– 1031 (2011). 21371747
  3. [4]Wingo AP, Shared proteomic effects of cerebral atherosclerosis and Alzheimer’s disease on the human brain. Nature neuroscience 23, 696– 700 (2020). 32424284 PMC7269838
  4. [5]Gusev A, Integrative approaches for large-scale transcriptome-wide association studies. Nature genetics 48, 245– 252 (2016). 26854917 PMC4767558
  5. [6]Beach TG, Arizona Study of Aging and Neurodegenerative Disorders and Brain and Body Donation Program. Neuropathology 35, 354– 389 (2015). 25619230 PMC4593391
  6. [8]Zhu Z, Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets. Nature genetics 48, 481– 487 (2016). 27019110
  7. [9]Nicolas A, Genome-wide Analyses Identify KIF5A as a Novel ALS Gene. Neuron 97, 1268– 1283. e1266 (2018). 29566793 PMC5867896
  8. [10]Nalls MA, Identification of novel risk loci, causal insights, and heritable risk for Parkinson’s disease: a meta-analysis of genome-wide association studies. The Lancet. Neurology 18, 1091– 1102 (2019). 31701892 PMC8422160
  9. [11]Nagel M, Meta-analysis of genome-wide association studies for neuroticism in 449,484 individuals identifies novel genetic loci and pathways. Nature genetics 50, 920– 927 (2018). 29942085
  10. [12]Yengo L, Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry. Human molecular genetics 27, 3641– 3649 (2018). 30124842 PMC6488973
  11. [13]Pulit SL, Meta-analysis of genome-wide association studies for body fat distribution in 694 649 individuals of European ancestry. Human molecular genetics 28, 166– 174 (2018). PMC6298238 30239722
  12. [14]Wu Y, Integrative analysis of omics summary data reveals putative mechanisms underlying complex traits. Nat Commun 9, 918 (2018). 29500431 PMC5834629
  13. [16]Wainberg M, Opportunities and challenges for transcriptome-wide association studies. Nature genetics 51, 592– 599 (2019). 30926968 PMC6777347
  14. [17]Mathys H, Single-cell transcriptomic analysis of Alzheimer’s disease. Nature 570, 332– 337 (2019). 31042697 PMC6865822
  15. [18]Gusev A, Transcriptome-wide association study of schizophrenia and chromatin activity yields mechanistic disease insights. Nature genetics 50, 538– 548 (2018). 29632383 PMC5942893
  16. [19]Huckins LM, Gene expression imputation across multiple brain regions provides insights into schizophrenia risk. Nature genetics 51, 659– 674 (2019). 30911161 PMC7034316
  17. [20]Raj T, Integrative transcriptome analyses of the aging brain implicate altered splicing in Alzheimer’s disease susceptibility. Nature genetics 50, 1584– 1592 (2018). 30297968 PMC6354244
  18. [21]Bennett DA, Religious Orders Study and Rush Memory and Aging Project. Journal of Alzheimer’s disease: JAD 64, S161– s189 (2018). 29865057 PMC6380522
  19. [22]Mertins P, Reproducible workflow for multiplexed deep-scale proteome and phosphoproteome analysis of tumor tissues by liquid chromatography-mass spectrometry. Nature protocols 13, 1632– 1661 (2018). 29988108 PMC6211289
  20. [23]De Jager PL, A multi-omic atlas of the human frontal cortex for aging and Alzheimer’s disease research. Scientific data 5, 180142 (2018). 30084846 PMC6080491
  21. [24]Purcell S, PLINK: a toolset for whole-genome association and population-based linkage analysis. American journal of human genetics 81, 559– 575 (2007). 17701901 PMC1950838
  22. [25]Manichaikul A, Robust relationship inference in genome-wide association studies. Bioinformatics (Oxford, England) 26, 2867– 2873 (2010). PMC3025716 20926424
  23. [27]Das S, Next-generation genotype imputation service and methods. Nature genetics 48, 1284– 1287 (2016). 27571263 PMC5157836
  24. [28]Allen M, Human whole genome genotype and transcriptome data for Alzheimer’s and other neurodegenerative diseases. Scientific data 3, 160089 (2016). 27727239 PMC5058336
  25. [29]Wang M, The Mount Sinai cohort of large-scale genomic, transcriptomic and proteomic data in Alzheimer’s disease. Scientific data 5, 180185 (2018). 30204156 PMC6132187
  26. [30]Logsdon BA, Meta-analysis of the human brain transcriptome identifies heterogeneity across human AD coexpression modules robust to sample collection and methodological approach. bioRxiv, 510420 (2019).
  27. [33]Freedman ML, Assessing the impact of population stratification on genetic association studies. Nature genetics 36, 388– 393 (2004). 15052270
  28. [34]Wu L, A transcriptome-wide association study of 229,000 women identifies new candidate susceptibility genes for breast cancer. Nature genetics 50, 968– 978 (2018). 29915430 PMC6314198
  29. [35]Sieberts SK, Large eQTL meta-analysis reveals differing patterns between cerebral cortical and cerebellar brain regions. Scientific data 7, 340 (2020). 33046718 PMC7550587

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Authors
Wingo, A. P., Liu, Y., Gerasimov, E. S., Gockley, J., Logsdon, B. A., Duong, D. M., Dammer, E. B., Robins, C., Beach, T. G., Reiman, E. M., Epstein, M. P., De Jager, P. L., Lah, J. J., Bennett, D. A., Seyfried, N. T., Levey, A. I., & Wingo, T. S.
Affiliations
  • Emory University (US)
  • Sage Bionetworks (US)
  • Banner Sun Health Research Institute (US)
  • University of Arizona (US)
  • Rush University Medical Center (US)
Corresponding author
  • Wingo, Aliza P.
  • Wingo, Thomas S.
Venue
Nature Genetics
Published
2021-01-28
Volume
53
Issue
2
Pages
143-146
ISSN
  • 1061-4036 (ISSN-L)
  • 1546-1718
OpenAlex
W3123744360
Cited by
366
References
9
Citations by year
2026: 59 · 2025: 90 · 2024: 80 · 2023: 50 · 2022: 57 · 2021: 28 · 2019: 1
FWCI
33.79
Type
journal article
Language
en
Open access
Locations
  • Nature Genetics (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
Funders
  • U.S. Department of Health & Human Services | National Institutes of Health (R01 AG056533, U01 AG046152, U01 AG061356, R01 AG015819, R01 AG017917, RC2 AG036547, R01 AG053960, R01 AG057911, R01 AG061800, P30 AG066511, P30 NS055077, P50 AG025688, U01 AG046161, U01 AG061357)
  • U.S. Department of Veterans Affairs (I01 BX003853, IK4 BX005219)
Topics
  • Health Sciences › Medicine › Physiology › 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, brain proteome, proteome-wide association study, genetic susceptibility loci, causal genes, cis-regulation, APOE ε4, Alzheimer's disease pathogenesis, therapeutic target
MeSH terms
Alzheimer Disease, Apolipoproteins E, Brain, Epoxide Hydrolases, Humans, Parkinson Disease, Receptors, Virus, Sequence Analysis, RNA, Proteome, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Genome-Wide Association Study, Single-Cell Analysis

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