Cited by 111Genetic Associations and EpidemiologyAlzheimer's disease research and treatmentsGenetic Mapping and Diversity in Plants and Animals

Proteogenomic analysis of human cerebrospinal fluid identifies neurologically relevant regulation and implicates causal proteins for Alzheimer’s disease

Open access
Western, Daniel, Timsina, Jigyasha, Wang, Lihua, Wang, Ciyang, Yang, Chengran, Phillips, Bridget, Wang, Yueyao, Liu, Menghan +34 more·2024·Nature Genetics

Published version of a preprint

Abstract

The integration of quantitative trait loci (QTLs) with disease genome-wide association studies (GWASs) has proven successful in prioritizing candidate genes at disease-associated loci. QTL mapping has been focused on multi-tissue expression QTLs or plasma protein QTLs (pQTLs). We generated a cerebrospinal fluid (CSF) pQTL atlas by measuring 6,361 proteins in 3,506 samples. We identified 3,885 associations for 1,883 proteins, including 2,885 new pQTLs, demonstrating unique genetic regulation in CSF. We identified CSF-enriched pleiotropic regions on chromosome (chr)3q28 near OSTN and chr19q13.32 near APOE that were enriched for neuron specificity and neurological development. We integrated our associations with Alzheimer's disease (AD) through proteome-wide association study (PWAS), colocalization and Mendelian randomization and identified 38 putative causal proteins, 15 of which have drugs available. Finally, we developed a proteomics-based AD prediction model that outperforms genetics-based models. These findings will be instrumental to further understand the biology and identify causal and druggable proteins for brain and neurological traits.

AI snapshot

Written from the paper’s full text.

TL;DR

The authors generated a cerebrospinal fluid (CSF) proteogenomic atlas by measuring 6,361 proteins in 3,506 samples and identified 3,885 independent pQTL associations, including 2,885 novel to CSF. Integrating these with Alzheimer’s disease (AD) GWAS prioritized 38 putative causal proteins and produced a proteomic AD prediction model that outperformed genetics-based models.

Key findings

  • In 3,506 European-ancestry individuals, 2,477 index pQTL associations were found for 1,883 proteins; conditional analysis yielded 3,885 independent associations (2,605 cis, 1,280 trans), with 2,885 novel to CSF.
  • CSF pQTLs were largely tissue-specific: 1,888 (76.2%) were observed only in CSF, 1,232 of 1,821 tested failed to colocalize with plasma pQTLs, and 428 (33.6%) CSF cis-pQTLs failed to colocalize with any eQTL.
  • Pleiotropic regions included chr3q28 near OSTN (208 proteins, neuron-enriched), chr6p22.2–21.32 in the HLA region (70 proteins, microglia/immune-enriched), and chr19q13.32 near APOE (335 proteins; rs429358 and rs7412 were index variants for 205 and 49 associations).
  • AD integration identified 125 PWAS-significant pQTLs for 108 proteins, 17 MR-prioritized proteins, and 32 colocalized proteins; 38 proteins were significant by at least two methods, 15 had drugs available, and the proteomic risk score classified AD with testing AUC=0.902 versus genetics-based models (P<2.2×10−16).

Methods

  • CSF proteomics used SOMAscan 7k/5k across eight cohorts; after QC, joint pQTL analysis included 3,506 unrelated European-ancestry individuals (1,243 cognitively normal controls, 1,021 late-onset AD cases, 1,242 with other neurodegenerative disorders).
  • pQTLs were identified with PLINK2 additive linear models adjusting for age, sex, ten genetic PCs, and cohort/array; cis significance was P<5×10−8 and trans significance was P<3.45×10−11, followed by conditional analysis.
  • AD integration used FUSION PWAS, TwoSampleMR Mendelian randomization, and coloc/coloc-SuSiE colocalization; a LASSO proteomic risk score was trained in n=1,325 and tested in n=567, with external Olink replication in the Amsterdam Dementia Cohort (n=502).

Limitations

  • The paper states that only individuals of European ancestry were included, limiting applicability to other populations; aptamer-based measurement can introduce binding artifacts and cannot determine isoform binding; AD analyses used proxy-AD cases; prioritization was limited to proteins in the panel; cell-type analyses used healthy RNA data; and MR validation is necessary.
  • The paper also notes that the prediction model used individuals who were also used to identify PWAS-significant proteins, so independent cohorts are needed to validate the models.
  • Evident from the text: the low colocalization overlap with brain pQTLs may be driven by small sample sizes, and the authors note that larger panels/sample sizes may make it difficult to satisfy MR assumptions.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1038/s41588-024-01972-8

Cites

170 of 170 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

76 of 92 cited sources checked · 56 supported · 1 flagged · accuracy not yet measured

  • Premisecitation

    Plasma proteogenomics shares little overlap with the brain.

    “Large studies have investigated genetic association of protein levels, but they have overwhelmingly focused on plasma11–15; previous work has shown that plasma proteogenomics shares little overlap with the brain10.”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites [10] Yang, C. et al. Genomic atlas of the proteome from brain, CSF and plasma prioritizes proteins implicated in neurological disorders. Nat. Neurosci. 24, 1302–1312 (2021). source

      The Results section (‘Tissue-specificity investigation’; page not specified in our copy) says plasma shared more than 70% of brain pQTLs and describes plasma as informative for studying brain-related disorders. That is contrary to the claim of little overlap. (LLM, conf=0.90)

      Checked by a reasoning model — may be wrong.

      Experimental — accuracy not yet measured
  • Findingown data

    An association was observed between rs9877502 and CSF levels of phosphorylated tau (P=1×10−36).

    “Importantly, we also observed an association between rs9877502 and CSF levels of phosphorylated tau (P=1×10−36), a key biomarker for AD35.”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites [35] Jansen, I. E. et al. Genome-wide meta-analysis for Alzheimer’s disease cerebrospinal fluid biomarkers. Acta Neuropathol. 144, 821–842 (2022). source
  • Findingown data

    After exclusion of pleiotropic regions, 32 proteins had QTL that colocalized with AD risk (PP.H4>0.8).

    “Finally, we assessed colocalization48,49 between each of our 2,477 significant pQTL associations (cis and trans) and the AD GWAS. After exclusion of pleiotropic regions, 32 proteins had QTL that colocalized with AD risk (PP.H4>0.8, Fig. 4A, Supp. Tables S43&44).”
    Quote in the paperSubstantial claim2 of 2 sources checked
    • cites [48] Giambartolomei, C. et al. Bayesian test for colocalisation between pairs of genetic association studies using summary statistics. PLoS Genet. 10, e1004383 (2014). source
    • cites [49] Wallace, C. A more accurate method for colocalisation analysis allowing for multiple causal variants. PLoS Genet. 17, e1009440 (2021). source
  • Findingown data

    The chr3q28 region proteins showed significant enrichment in neurons.

    “For each of the 208 proteins, we analyzed brain-relevant cell-type expression data34 (Supp. Table S28) to determine cell specificity and observed a significant enrichment in neurons (Fig. 3B, Supp. Fig. 13, Supp. Table S29), supporting relevance of this region for brain-related traits.”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites [34] Zhang, Y. et al. Purification and characterization of progenitor and mature human astrocytes reveals transcriptional and functional differences with mouse. Neuron 89, 37–53 (2016). source
  • Study design and conductown data

    Comparing 388 index variants with overlapping proteins on an antibody-based (Olink) platform, the study observed good correlation (R=0.69, P<2.2×10−16).

    “Comparing 388 index variants with overlapping proteins on an antibody-based (Olink) platform (Amsterdam Dementia Cohort, ADC; N=502), we observed good correlation (R=0.69, P<2.2×10−16, Supp. Fig. 6, Supp. Table S5) which is consistent with protein level correlations between SOMAscan and Olink in CSF26, and support the pQTLs identified in this study”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites [26] Dammer, E. B. et al. Multi-platform proteomic analysis of Alzheimer’s disease cerebrospinal fluid and plasma reveals network biomarkers associated with proteostasis and the matrisome. Alzheimers Res. Ther. 14, 174 (2022). source
  • May combine two claims. 55
  • Classified as probably not a substantial claim. 36
  • The quote only partly states this claim. 3
  • May combine two claims.

    Findingown data

    Calcineurin (PPP3R1), associated with both phosphorylated tau levels and rate of decline in AD, is genetically regulated by this region.

    “Calcineurin (PPP3R1), associated with both phosphorylated tau levels and rate of decline in AD39, is also genetically regulated by this region.”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites [39] Cruchaga, C. et al. SNPs associated with cerebrospinal fluid phospho-tau levels influence rate of decline in Alzheimer’s disease. PLoS Genet. 6, e1001101 (2010). source
  • May combine two claims.

    Findingown data

    The study also observed apoptotic pathways, including activation of BH3-only proteins and apoptosis, suggesting a potential role of APOE in cell death.

    “We also observe apoptotic pathways, including activation of BH3-only proteins (Reactome:R-HSA-114452) and apoptosis (Reactome:R-HSA-109581, Supp. Table S36), suggesting a potential role of APOE40–42 in cell death.”
    Quote in the paperNot a substantial claim3 of 3 sources checked
    • cites [40] Zhao, J. et al. APOE4 exacerbates synapse loss and neurodegeneration in Alzheimer’s disease patient iPSC-derived cerebral organoids. Nat. Commun. 11, 5540 (2020). source

      The Results (Fig. 2) report increased apoptosis in APOE4 cerebral organoids, supporting a potential role for APOE4 in cell death. The paper does not report activation of BH3-only proteins or identify the specified Reactome apoptotic pathways; its pathway analysis used MetaCore. (LLM, conf=0.87)

      Experimental — accuracy not yet measured
    • cites [41] Wang, C. et al. Gain of toxic apolipoprotein E4 effects in human iPSC-derived neurons is ameliorated by a small-molecule structure corrector. Nat. Med. 24, 647–657 (2018). source
    • cites [42] Grainger, D. J., Reckless, J. & McKilligin, E. Apolipoprotein E modulates clearance of apoptotic bodies in vitro and in vivo, resulting in a systemic proinflammatory state in apolipoprotein E-deficient mice. J. Immunol. 173, 6366–6375 (2004). source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    GWAS have identified over 75 loci associated with Alzheimer's disease.

    “GWAS have identified over 75 loci associated with AD23, but the genes driving the associations for most of them are still unknown, and little research has been done to understand how these genes interact in specific pathways and disease mechanisms.”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites [23] Bellenguez, C. et al. New insights into the genetic etiology of Alzheimer’s disease and related dementias. Nat. Genet. 54, 412–436 (2022). source

      The Discussion reports that the GWAS meta-analysis identified 75 independent loci associated with Alzheimer’s disease and related dementias, supporting the claim’s main point. It does not report over 75 loci, so the stated threshold is not supported. (LLM, conf=0.88)

      Experimental — accuracy not yet measured
  • May combine two claims.

    Premisecitation

    OSTN is highly expressed in human neurons, regulates dendritic growth in the human brain and is proposed as a candidate gene at this locus.

    “We note that OSTN, the gene flanking the 3’ end of this region, is highly expressed in human neurons, regulates dendritic growth in the human brain and is proposed as a candidate gene at this locus17.”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites [17] Hansson, O. et al. The genetic regulation of protein expression in cerebrospinal fluid. EMBO Mol. Med. 15, e16359 (2023). source

      The Results section (‘The GMNC‐OSTN region and CSF trans‐pQTLs’; page unavailable) says OSTN has enhanced expression in the cerebral cortex, encodes a hormone that regulates dendritic growth there, and is a possible causal gene for the region’s CSF trans-pQTLs. It does not establish that OSTN is highly expressed specifically in human neurons; cortical expression is a less specific claim. (LLM, conf=0.86)

      Experimental — accuracy not yet measured
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Besides AD, APOE has been associated with at least eighteen other diseases, including heart disease and high cholesterol.

    “Besides AD43, APOE has been associated with at least eighteen other diseases, including heart disease and high cholesterol44.”
    Quote in the paperNot a substantial claim2 of 2 sources checked
    • cites [43] Liu, C.-C., Kanekiyo, T., Xu, H. & Bu, G. Apolipoprotein E and Alzheimer disease: risk, mechanisms and therapy. Nat. Rev. Neurol. 9, 106–118 (2013). source

      The Introduction states that ApoE4 is associated with hypercholesterolemia and coronary heart disease, supporting both examples. The paper does not state that APOE is associated with at least eighteen other diseases, so it does not support the claimed count. (LLM, conf=0.89)

      Experimental — accuracy not yet measured
    • cites [44] Lumsden, A. L., Mulugeta, A., Zhou, A. & Hyppönen, E. Apolipoprotein E (APOE) genotype-associated disease risks: a phenome-wide, registry-based, case–control study utilising the UK Biobank. eBioMedicine 59, 102954 (2020). source

      The Abstract (Findings) reports APOE associations with 18 distinct diseases, including Alzheimer’s disease, hypercholesterolaemia and ischaemic heart disease. It does not support the claim of at least 18 diseases besides Alzheimer’s disease; the reported total is 18 including it. (LLM, conf=0.90)

      Experimental — accuracy not yet measured
  • May combine two claims.

    Findingown data

    The study performed MR and identified 17 unique proteins as putatively causal for AD (FDR-corrected P<0.05) with confirmed directionality using the Steiger test.

    “We next performed MR47 and identified 17 unique proteins as putatively causal for AD (Fig. 4A, Supp. Table S40&41, FDR-corrected P<0.05) with confirmed directionality using the Steiger test52 (Supp. Table S42).”
    Quote in the paperSubstantial claim2 of 2 sources checked
    • cites [47] Hemani, G. et al. The MR-Base platform supports systematic causal inference across the human phenome. eLife 7, e34408 (2018). source
    • cites [52] Hemani, G., Tilling, K. & Davey Smith, G. Orienting the causal relationship between imprecisely measured traits using GWAS summary data. PLoS Genet. 13, e1007081 (2017). source
  • May combine two claims.

    Findingown data

    The study performed a PWAS using FUSION. After FDR correction and pleiotropy filtering, 125 pQTL for 108 proteins were significantly associated with AD.

    “We performed a PWAS using FUSION45. After FDR correction and pleiotropy filtering50,51, 125 pQTL for 108 proteins were significantly associated with AD.”
    Quote in the paperSubstantial claim3 of 3 sources checked
    • cites [45] Gusev, A. et al. Integrative approaches for large-scale transcriptome-wide association studies. Nat. Genet. 48, 245–252 (2016). source
    • cites [50] Yang, C. et al. Mendelian randomization and genetic colocalization infer the effects of the multi-tissue proteome on 211 complex disease-related phenotypes. Genome Med. 14, 140 (2022). source
    • cites [51] Zheng, J. et al. Phenome-wide Mendelian randomization mapping the influence of the plasma proteome on complex diseases. Nat. Genet. 52, 1122–1131 (2020). source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingcitation

    cis-pQTL effect sizes correlate with proximity to the protein coding gene.

    “We also confirmed previous evidence10,13 that cis-pQTL effect sizes correlate with proximity to the protein coding gene (Fig. 2D; Supp. Fig. 3H).”
    Quote in the paperNot a substantial claim2 of 2 sources checked
    • cites [10] Yang, C. et al. Genomic atlas of the proteome from brain, CSF and plasma prioritizes proteins implicated in neurological disorders. Nat. Neurosci. 24, 1302–1312 (2021). source

      The Results section on functional annotation reports that cis-pQTL association strength (−log10 P) decreased with distance from the transcription start site in all three tissues. Extended Data Fig. 10 likewise plots association significance against distance, but plots effect size (beta) against minor allele frequency instead. The copy therefore supports a proximity relationship for association significance, not specifically for effect size. (LLM, conf=0.84)

      Experimental — accuracy not yet measured
    • cites [13] Sun, B. B. et al. Genomic atlas of the human plasma proteome. Nature 558, 73–79 (2018). source

      The Genetic architecture of the plasma proteome section (page unavailable) reports that cis-pQTL association P values increased with distance from the protein-coding gene’s transcription start site. It does not report a correlation between effect sizes and distance; P values measure statistical significance, not effect size. (LLM, conf=0.82)

      Experimental — accuracy not yet measured
  • May combine two claims.

    Findingown data

    Proteins regulated by chr3q28 region included five members of the syntaxin family and five ephrin family members.

    “Proteins regulated by this region included five members of the syntaxin family involved in synapse function31 and five ephrin family members involved in neural development and memory32,33.”
    Quote in the paperNot a substantial claim1 of 3 sources checked
    • cites [31] Bennett, M. K., Calakos, N. & Scheller, R. H. Syntaxin: a synaptic protein implicated in docking of synaptic vesicles at presynaptic active zones. Science 257, 255–259 (1992). source
    • cites [32] Dines, M. & Lamprecht, R. The role of ephs and ephrins in memory formation. Int. J. Neuropsychopharmacol. 19, pyv106 (2016). source
    • cites [33] Washburn, H. R., Chander, P., Srikanth, K. D. & Dalva, M. B. Transsynaptic signaling of ephs in synaptic development, plasticity, and disease. Neuroscience 508, 137–152 (2023). source
  • May combine two claims.

    Findingown data

    The study developed a proteomic risk score by selecting PWAS-significant aptamers (n=456) and performing LASSO regression to select predictors of AD status (Npredictors=100) in a training dataset (n=1,325).

    “We developed a proteomic risk score91 by selecting PWAS-significant aptamers (n=456) and performing LASSO regression to select predictors of AD status (Npredictors=100) in a training dataset (n=1,325).”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites [91] Marigorta, U. M. et al. Transcriptional risk scores link GWAS to eQTLs and predict complications in Crohn’s disease. Nat. Genet. 49, 1517–1521 (2017). source

      The Introductory Paragraph describes a transcriptional risk score derived from gene expression for predicting Crohn’s disease outcomes, providing a precedent for a molecular risk score. It does not describe a proteomic score, PWAS-significant aptamers, LASSO selection, Alzheimer’s disease status, or the stated predictor and training-set counts; those details concern the citing authors’ study, not this source. (LLM, conf=0.86)

      Experimental — accuracy not yet measured
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductcitation

    Directionality in the MR analysis was assessed using MR-Steiger.

    “We analyzed directionality using MR-Steiger52.”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites [52] Hemani, G., Tilling, K. & Davey Smith, G. Orienting the causal relationship between imprecisely measured traits using GWAS summary data. PLoS Genet. 13, e1007081 (2017). source
  • May combine two claims.

    Premisecitation

    CA12 is targeted by carbonic anhydrase inhibitors like acetazolamide, which was shown to reduce Aβ-induced mitochondrial toxicity.

    “Finally, CA12 is targeted by carbonic anhydrase inhibitors like acetazolamide (DB00819), which was shown to reduce Aβ-induced mitochondrial toxicity90.”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites [90] Solesio, M. E. et al. Carbonic anhydrase inhibition selectively prevents amyloid β neurovascular mitochondrial toxicity. Aging Cell 17, e12787 (2018). source

      The Introduction identifies acetazolamide as a carbonic anhydrase inhibitor, and the Discussion reports that it reversed Aβ-induced mitochondrial depolarization and H2O2 production in the study’s cell models. The passages identify other carbonic anhydrase isoforms but do not establish that acetazolamide targets CA12 specifically. Page numbers were not supplied. (LLM, conf=0.88)

      Experimental — accuracy not yet measured
  • May combine two claims.

    Findingown data

    The analyses nominate alternative candidates at three AD risk loci: CR2 at 1q32.2, PILRA at 7q22.1, and PRSS8 at 16p11.2.

    “Our analyses also nominate alternative candidates at three AD risk loci. First, the association at 1q32.2 has been linked to CR153–55, but we observed a colocalized association for both CR1 and CR2 levels with AD risk (Supp. Fig. 23).”
    • Also stated in: § Novel proteins associated with Alzheimer’s disease · hedged
      “At the 7q22.1 AD locus, the nominated genes were ZCWPW1 and NYAP1. Our analyses indicate that PILRA is a functional gene in this locus, identifying a negative association between PILRA levels and AD risk (Supp. Fig. 23).”
    • Also stated in: § Novel proteins associated with Alzheimer’s disease · plain
      “At the 16p11.2, KAT8 locus, we nominate PRSS8 as the candidate gene.”
    Quote in the paperSubstantial claim5 of 5 sources checked
    • cites [53] Fonseca, M. I. et al. Analysis of the putative role of CR1 in Alzheimer’s disease: genetic association, expression and function. PLoS ONE 11, e0149792 (2016). source
    • cites [54] Kucukkilic, E. et al. Complement receptor 1 gene (CR1) intragenic duplication and risk of Alzheimer’s disease. Hum. Genet. 137, 305–314 (2018). source
    • cites [55] Brouwers, N. et al. Alzheimer risk associated with a copy number variation in the complement receptor 1 increasing C3b/C4b binding sites. Mol. Psychiatry 17, 223–233 (2012). source
    • cites [58] Rathore, N. et al. Paired immunoglobulin-like type 2 receptor α G78R variant alters ligand binding and confers protection to Alzheimer’s disease. PLoS Genet. 14, e1007427 (2018). source

      The Results section identifies a PILRA variant associated with protection from Alzheimer’s disease, supporting PILRA as a candidate at one AD risk locus. It calls that locus 7q21, not 7q22.1, and does not support the claim’s CR2 or PRSS8 candidates. No page number is available in our copy. (LLM, conf=0.88)

      Experimental — accuracy not yet measured
    • cites [59] Schwartzentruber, J. et al. Genome-wide meta-analysis, fine-mapping and integrative prioritization implicate new Alzheimer’s disease risk genes. Nat. Genet. 53, 392–402 (2021). source
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Mutations in CLN5 contribute to a form of neuronal ceroid lipofuscinosis, while CLN5-deficient neurons showed impaired lysosomal activity and movement.

    “Mutations in CLN5 contribute to a form of neuronal ceroid lipofuscinosis78, while CLN5-deficient neurons showed impaired lysosomal activity and movement78.”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites [78] Basak, I., Hansen, R. A., Ward, M. E. & Hughes, S. M. Deficiency of the lysosomal protein CLN5 alters lysosomal function and movement. Biomolecules 11, 1412 (2021). source
  • May combine two claims.

    Premisecitation

    CASQ1 is a ligand for calcium and studies suggest targeting calcium receptors may be beneficial in AD.

    “CASQ1 is a ligand for calcium (DB11093) and studies suggest that targeting calcium receptors may be beneficial in AD88.”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites [88] Ge, M. et al. Role of calcium homeostasis in Alzheimer’s disease. Neuropsychiatr. Dis. Treat. 18, 487–498 (2022). source
  • May combine two claims.

    Premisecitation

    CLN5 is processed through the ER and Golgi before being transported through the early endosome to lysosomes, supporting enrichment for endosome proteins.

    “CLN5 is processed through the ER and Golgi before being transported through the early endosome to lysosomes79, supporting enrichment for endosome proteins (Fig. 4F).”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites [79] Basak, I. et al. A lysosomal enigma CLN5 and its significance in understanding neuronal ceroid lipofuscinosis. Cell. Mol. Life Sci. 78, 4735–4763 (2021). source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Captopril, an ACE inhibitor, showed a neuroprotective effect in an AD mouse model.

    “Captopril (DB01197), an ACE inhibitor, showed a neuroprotective effect in an AD mouse model89.”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites [89] AbdAlla, S., Langer, A., Fu, X. & Quitterer, U. ACE inhibition with captopril retards the development of signs of neurodegeneration in an animal model of Alzheimer’s disease. Int. J. Mol. Sci. 14, 16917–16942 (2013). source
  • May combine two claims.

    Premisecitation

    Increased CTSH mRNA levels were observed in AD, while microglia with CTSH knockouts showed increased Aβ phagocytosis.

    “Increased CTSH mRNA levels were observed in AD, while microglia with CTSH knockouts showed increased Aβ phagocytosis75.”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites [75] Li, Y. et al. Functional genomics identify causal variant underlying the protective CTSH locus for Alzheimer’s disease. Neuropsychopharmacology 48, 1555–1566 (2023). source
  • May combine two claims.

    Premisecitation

    FCGR3B is targeted by cetuximab, which is associated with decreased risk of AD.

    “FCGR3B is targeted by cetuximab (DrugBank accession number DB00002), a chemotherapy agent. Cetuximab is associated with decreased risk of AD85 (Supp. Table S47).”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites [85] Akushevich, I., Yashkin, A. P., Kravchenko, J. & Kertai, M. D. Chemotherapy and the risk of Alzheimer’s disease in colorectal cancer survivors: evidence from the medicare system. JCO Oncol. Pract. 17, e1649–e1659 (2021). source
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Glutamic acid targets SLC25A18, a glutamate transporter involved in excitatory signaling in neurons.

    “Glutamic acid (DB00142) targets SLC25A18, a glutamate transporter86 and is involved in excitatory signaling in neurons87.”
    Quote in the paperNot a substantial claim2 of 2 sources checked
    • cites [86] Fiermonte, G. et al. Identification of the mitochondrial glutamate transporter: bacterial expression, reconstitution, functional characterization, and tissue distribution of two human isoforms. J. Biol. Chem. 277, 19289–19294 (2002). source

      The Discussion (page unavailable) identifies GC1 and GC2 as mitochondrial glutamate carriers, and the substrate-specificity results show that both transport L-glutamate. Our copy does not explicitly identify either isoform as SLC25A18, so it does not fully establish the named target. The neuronal-signaling clause has a separate citation (87) and is not attributed to this source. (LLM, conf=0.78)

      Experimental — accuracy not yet measured
    • cites [87] Wang, R. & Reddy, P. H. Role of glutamate and NMDA receptors in Alzheimer’s disease. J. Alzheimers Dis. 57, 1041–1048 (2017). source
  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation

    In Alzheimer's disease, many genetic loci have been identified, but for some the functional gene is not clear.

    “In AD, many genetic loci have been identified, but for some the functional gene is not clear23,59.”
    Quote in the paperSubstantial claim2 of 2 sources checked
    • cites [23] Bellenguez, C. et al. New insights into the genetic etiology of Alzheimer’s disease and related dementias. Nat. Genet. 54, 412–436 (2022). source
    • cites [59] Schwartzentruber, J. et al. Genome-wide meta-analysis, fine-mapping and integrative prioritization implicate new Alzheimer’s disease risk genes. Nat. Genet. 53, 392–402 (2021). source
  • May combine two claims.

    Interpretationcitation

    CST8 is part of a protein family that inhibits the activity of cathepsins, offering a potential mechanism for its inverse AD association.

    “CST8 is part of a protein family that inhibits the activity of cathepsins77, offering a potential mechanism for its inverse AD association.”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites [77] Haves-Zburof, D. et al. Cathepsins and their endogenous inhibitors cystatins: expression and modulation in multiple sclerosis. J. Cell. Mol. Med. 15, 2421–2429 (2011). source

      The Introduction identifies cystatins B and C as inhibitors of cathepsins, and the Results section on glucocorticoid treatment describes cystatin C as a protease inhibitor. The paper does not identify CST8 as a member of that family or examine its activity; the proposed inverse AD association is the citing authors’ interpretation, not the part directly attached to this citation. Page numbers are unavailable in our copy. (LLM, conf=0.83)

      Experimental — accuracy not yet measured
  • May combine two claims.

    Interpretationown data

    The enrichment of prioritized proteins in microglia and immune pathways supports a strong immunological role in AD, including TREM2, CD33, and IL34.

    “supporting a strong immunological role in AD93–95 including TREM27,96, CD33, and IL34.”
    Quote in the paperSubstantial claim5 of 5 sources checked
    • cites [93] Jones, L. et al. Genetic evidence implicates the immune system and cholesterol metabolism in the aetiology of Alzheimer’s disease. PLoS ONE 5, e13950 (2010). source
    • cites [94] Yokoyama, J. S. et al. Association between genetic traits for immune-mediated diseases and Alzheimer disease. JAMA Neurol. 73, 691–697 (2016). source
    • cites [95] Haage, V. & De Jager, P. L. Neuroimmune contributions to Alzheimer’s disease: a focus on human data. Mol. Psychiatry 27, 3164–3181 (2022). source
    • cites [7] Deming, Y. et al. The MS4A gene cluster is a key modulator of soluble TREM2 and Alzheimer’s disease risk. Sci. Transl. Med. 14, eaau2291 (2019). source
    • cites [96] Jin, S. C. et al. Coding variants in TREM2 increase risk for Alzheimer’s disease. Hum. Mol. Genet. 23, 5838–5846 (2014). source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Evidence suggests that candidate proteins can be identified for many neurological traits, even with smaller sample sizes.

    “Evidence suggests that candidate proteins can be identified for many neurological traits, even with smaller sample sizes10,13”
    Quote in the paperNot a substantial claim2 of 2 sources checked
    • cites [10] Yang, C. et al. Genomic atlas of the proteome from brain, CSF and plasma prioritizes proteins implicated in neurological disorders. Nat. Neurosci. 24, 1302–1312 (2021). source

      The Results (Mendelian randomization and drug repositioning; page unavailable) report identifying proteins implicated in several neurological traits, including Alzheimer’s disease, Parkinson’s disease, ALS and stroke. The paper does not establish the claim that candidate proteins can be identified even with smaller sample sizes; Results (Replication and meta-analyses; page unavailable) instead report substantially more pQTL signals after increasing sample size. (LLM, conf=0.84)

      Experimental — accuracy not yet measured
    • cites [13] Sun, B. B. et al. Genomic atlas of the human plasma proteome. Nature 558, 73–79 (2018). source

      The ‘trans pQTLs identify pathways to disease’ section links plasma proteins to disease-associated genetic variants, supporting the general idea that candidate proteins can be identified for disease traits. The passages do not establish this for many neurological traits or show that it works with smaller sample sizes; the Methods describe an analysis of 3,301 participants, not a smaller-sample comparison. (LLM, conf=0.82)

      Experimental — accuracy not yet measured
  • May combine two claims.

    Interpretationcitation

    ITAM- and ITIM-containing proteins regulate processes including microglial phagocytosis and apoptosis, suggesting convergent AD-relevant pathways mediated through microglial surface receptors.

    “ITAM- and ITIM-containing proteins regulate processes including microglial phagocytosis and apoptosis74, suggesting convergent AD-relevant pathways mediated through microglial surface receptors.”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites [74] Linnartz, B., Wang, Y. & Neumann, H. Microglial immunoreceptor tyrosine-based activation and inhibition motif signaling in neuroinflammation. Int. J. Alzheimers Dis. 2010, 587463 (2010). source
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    TREM2 complexes with DAP12, which modulates activation of microglia through its ITAM.

    “TREM2 complexes with DAP12, which modulates activation of microglia through its immunoreceptor tyrosine-based activation motif (ITAM)69.”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites [69] Konishi, H. & Kiyama, H. Microglial TREM2/DAP12 signaling: a double-edged sword in neural diseases. Front. Cell. Neurosci. 12, 206 (2018). source
  • May combine two claims.

    Findingcitation

    The study identified two lysosomal proteins, GRN and TMEM106B, that are associated with frontotemporal dementia but were also identified in the latest AD risk GWAS.

    “We also identified two lysosomal proteins, GRN and TMEM106B80,81, that are associated with frontotemporal dementia (FTD)82,83 but were also identified in the latest AD risk GWAS23.”
    Quote in the paperNot a substantial claim4 of 5 sources checked
    • cites [80] Paushter, D. H., Du, H., Feng, T. & Hu, F. The lysosomal function of progranulin, a guardian against neurodegeneration. Acta Neuropathol. 136, 1–17 (2018). source
    • cites [81] Feng, T. et al. Loss of TMEM106B and PGRN leads to severe lysosomal abnormalities and neurodegeneration in mice. EMBO Rep. 21, e50219 (2020). source
    • cites [82] Van Deerlin, V. M. et al. Common variants at 7p21 are associated with frontotemporal lobar degeneration with TDP-43 inclusions. Nat. Genet. 42, 234–239 (2010). source
    • cites [83] Baker, M. et al. Mutations in progranulin cause tau-negative frontotemporal dementia linked to chromosome 17. Nature 442, 916–919 (2006). source
    • cites [23] Bellenguez, C. et al. New insights into the genetic etiology of Alzheimer’s disease and related dementias. Nat. Genet. 54, 412–436 (2022). source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    SOMAscan-based measurements correlate well with complementary approaches.

    “Nonetheless, we note that SOMAscan-based measurements correlate well with complementary approaches26,97.”
    Quote in the paperNot a substantial claim2 of 2 sources checked
    • cites [26] Dammer, E. B. et al. Multi-platform proteomic analysis of Alzheimer’s disease cerebrospinal fluid and plasma reveals network biomarkers associated with proteostasis and the matrisome. Alzheimers Res. Ther. 14, 174 (2022). source
    • cites [97] Timsina, J. et al. Comparative analysis of Alzheimer’s disease cerebrospinal fluid biomarkers measurement by multiplex SOMAscan platform and immunoassay-based approach. J. Alzheimers Dis. 89, 193–207 (2022). source

      The Results section (“Correlation between SOMAscan and immunoassay measurements”) reports strong correlations for three CSF biomarkers and a weaker but significant correlation for sTREM2. SNAP-25 showed no significant correlation, so the unqualified claim that SOMAscan-based measurements correlate well with complementary approaches overstates these findings. (LLM, conf=0.88)

      Experimental — accuracy not yet measured
  • May combine two claims.

    Findingown data

    This dataset represents an expansion of previous CSF pQTL work in both sample size (n=3,506) and number of proteins (n=6,361).

    “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).”
    Quote in the paperNot a substantial claim5 of 5 sources checked
    • cites [10] Yang, C. et al. Genomic atlas of the proteome from brain, CSF and plasma prioritizes proteins implicated in neurological disorders. Nat. Neurosci. 24, 1302–1312 (2021). source
    • cites [16] Sasayama, D. et al. Genome-wide quantitative trait loci mapping of the human cerebrospinal fluid proteome. Hum. Mol. Genet. 26, 44–51 (2017). source
    • cites [17] Hansson, O. et al. The genetic regulation of protein expression in cerebrospinal fluid. EMBO Mol. Med. 15, e16359 (2023). source
    • cites [18] Kaiser, S. et al. A proteogenomic view of Parkinson’s disease causality and heterogeneity. NPJ Parkinsons Dis. 9, 24 (2023). source
    • cites [19] Kauwe, J. S. K. et al. Genome-wide association study of CSF levels of 59 Alzheimer’s disease candidate proteins: significant associations with proteins involved in amyloid processing and inflammation. PLoS Genet. 10, e1004758 (2014). source
  • May combine two claims.

    Findingown data

    Of all proteins prioritized by PWAS, COLOC and MR, eight (all cis) were significant in all three and 38 (24 cis, 13 trans, and one cis and trans) were significant through two methods.

    “Of all proteins prioritized by PWAS, COLOC and MR, eight (all cis) were significant in all three and 38 (24 cis, 13 trans, and one cis and trans) were significant through two methods (Figs. 4A–D; Supp. Table S45).”
    Quote in the paperSubstantial claim
  • The quote only partly states this claim.

    Findingown data

    The study identified 3,885 conditionally independent pQTL associations for 1,883 proteins.

    “We identified 3,885 associations for 1,883 proteins, including 2,885 novel pQTLs, demonstrating unique genetic regulation in CSF.”
    • Also stated in: § Unique genetic architecture of CSF proteomics · plain
      “In total, we identified 3,885 conditionally independent associations (see Supplementary Notes, Supp. Table S8).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    These associations were consistent between controls and AD cases, suggesting APOE has an important role regardless of disease status.

    “These associations were consistent between controls and AD cases, suggesting APOE has an important role regardless of disease status (see Supplementary Notes).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Of the 648 that overlap, 78.9% (511) colocalize with a neurologically-relevant tissue and 50.8% (329) are unique to neurological tissues.

    “Of the 648 that overlap, 78.9% (511) colocalize with a neurologically-relevant tissue and 50.8% (329) are unique to neurological tissues.”
    Quote in the paperSubstantial claim
  • The quote only partly states this claim.

    Findingown data

    Of the 3,885 associations, 2,885 were novel to CSF.

    “We identified 3,885 associations for 1,883 proteins, including 2,885 novel pQTLs, demonstrating unique genetic regulation in CSF.”
    • Also stated in: § Unique genetic architecture of CSF proteomics · plain
      “When analyzing conditional associations 2,885 were novel to CSF, of which 2,007 were CSF-specific and 878 were novel.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    303 pathways were enriched for chr3q28 proteins, most-significant almost exclusively neuronal and cell surface pathways.

    “In addition, we observed 303 pathways enriched for these proteins. The most-significant were almost exclusively neuronal and cell surface pathways (Fig. 3C, Supp. Fig. 12, Supp. Table S30), including neuron projection development (GO:0031175), cell junction (GO:0030054), axon development (GO:0061564), and SNAP receptor activity (GO:0048812).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    The 38 proteins showed overrepresentation in microglia/macrophages (P=1.38×10−4), astrocytes (P=0.012), and neurodegenerative pathways.

    “We observed an overrepresentation in microglia/macrophages (P=1.38×10−4, Fig. 4E, Supp. Fig. 13, Supp. Table S29), astrocytes (P=0.012), and neurodegenerative pathways, including late-onset AD and brain atrophy.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    In CSF, the APOE region at chr19q13.32 was associated with the largest number of proteins, with eleven unique index variants in three LD blocks associated with the levels of 335 proteins, of which four are in cis.

    “In CSF, the APOE region at chr19q13.32 was associated with the largest number of proteins, with eleven unique index variants in three LD blocks (R2>0.5, Supp. Fig. 15) associated with the levels of 335 proteins (Fig. 3I, Supp. Table S27), of which four (three aptamers tagging APOE and APOC2) are in cis.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingcitation

    The same region in plasma contained 1,756 associations, significantly more than CSF (9.71% of all plasma associations vs 6.50% of all CSF associations; P=3.10×10−7).

    “The same region in plasma contained 1,756 associations11, significantly more than CSF (9.71% of all plasma associations vs 6.50% of all CSF associations; P=3.10×10−7).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [11] Ferkingstad, E. et al. Large-scale integration of the plasma proteome with genetics and disease. Nat. Genet. 53, 1712–1721 (2021). source
  • May combine two claims.

    Findingown data

    The study identified 1,861 index CSF pQTL (75.1% of all, 866 cis, 995 trans) that failed to colocalize with any pQTL across tissues (CSF-specific, 1,280) or were associated with newly-measured proteins (true novel, 581).

    “We identified 1,861 index CSF pQTL (75.1% of all, 866 cis, 995 trans) that failed to colocalize with any pQTL across tissues (CSF-specific, 1,280) or were associated with newly-measured proteins (true novel, 581).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Among these, inverse associations (higher protein, decreased risk) were observed for ACE, TREM2, and GRN, while CTSH, SHARPIN, and CR1 were associated with increased risk.

    “Among these we observed inverse associations (higher protein, decreased risk) for ACE, TREM2, and GRN, while CTSH, SHARPIN, and CR1 were associated with increased risk.”
    Quote in the paperSubstantial claim
  • May combine two claims. The quote only partly states this claim.

    Findingown data

    The study identified 32 cis associations for 23 unique proteins and 129 trans associations for 47 unique proteins in chr6 region.

    “We identified 32 cis associations for 23 unique proteins and 129 trans associations for 47 unique proteins.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Pathway analysis identified 86 enriched pathways using the 70 proteins, highly immune-specific.

    “Pathway analysis identified 86 enriched pathways using the 70 proteins (Fig. 3G, Supp. Fig. 14, Supp. Table S32). These were highly immune-specific, including regulation of immune response (GO:0050776), leukocyte mediated immunity (GO:0002443), and antigen processing and presentation (KEGG:hsa04612).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Colocalization with brain and plasma pQTL: 16.8% (72/428) of associations in plasma and 6.7% (35/520) in brain.

    “We observed colocalization (PP.H4≥0.8) for 16.8% (72/428) of associations in plasma and 6.7% (35/520) in brain (Fig. 2G).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    The study integrated CSF pQTL associations with Alzheimer's disease through PWAS, colocalization and Mendelian Randomization and identified 38 putative causal proteins.

    “We integrated our associations with Alzheimer’s disease (AD) through PWAS, colocalization and Mendelian Randomization and identified 38 putative causal proteins, 15 of which have drugs available.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingcitation

    Only one pQTL was observed in chr3q28 region in plasma, suggesting this is a CSF-specific pQTL hotspot.

    “Only one pQTL was observed in this region in plasma11, suggesting this is a CSF-specific pQTL hotspot.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [11] Ferkingstad, E. et al. Large-scale integration of the plasma proteome with genetics and disease. Nat. Genet. 53, 1712–1721 (2021). source
  • May combine two claims.

    Findingown data

    Most proteins (n=1,025, 54.4%) had a single association, but up to 16 independent cis associations were observed for two proteins (SIRPB1 & GSTM1).

    “Most proteins (n=1,025, 54.4%) had a single association, but we observed up to 16 independent cis associations for two proteins (SIRPB1 & GSTM1).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    QTLs were enriched for protein-altering variants (PAVs) (P<0.001, Fold change=9.78), a trend that persisted after removing potential binding artifacts (P < 0.001, FC = 6.39).

    “QTLs were enriched for protein-altering variants (PAVs, see Supplementary Notes, Supp. Fig. 9B, Supp. Table S12, P<0.001, Fold change=9.78), a trend that persisted after removing potential binding artifacts (P < 0.001, FC = 6.39), indicating that pQTL are enriched for coding variants in comparison with non-pQTL variants.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Although proteins with APOE-region associations were enriched in neurons, APOE is mainly expressed in astrocytes.

    “Interestingly, although we observed an enrichment of proteins with APOE-region associations in neurons (Fig. 3J, Supp. Fig. 13, Supp. Table S29), APOE is mainly expressed in astrocytes (Supp. Table S28).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    The chr3q28 region is intergenic, located between GMNC and OSTN, and consists of twelve index variants corresponding to one LD block associated with 208 unique proteins, all trans.

    “The chr3q28 region is intergenic, located between GMNC and OSTN, and consists of twelve index variants corresponding to one LD block (R2>0.5, Supp. Fig. 12I) associated with 208 unique proteins (Fig. 3A, Supp. Table S27), all of them trans.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    The performance of the model was consistent across ages and APOE genotypes and the independent Stanford dataset (ProtRS AUC=0.932).

    “The performance of the model was consistent across ages and APOE genotypes (Supp. Fig. 25, Supp. Table S50) and the independent Stanford dataset (ProtRS AUC=0.932, Supp. Fig. 26), which only included 65% of the proteins.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    The study integrated its pQTL with AD GWAS and prioritized 38 proteins, 24 of which were not nominated by previous studies.

    “We integrated our pQTL with AD GWAS and prioritized 38 proteins, 24 of which were not nominated by previous studies.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Many of the study's findings were confirmed using a complementary proteomic platform, showing robustness across cohorts and measurement techniques.

    “We confirmed many of our findings using a complementary proteomic platform, highlighting the robustness of our findings across cohorts and measurement techniques.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    The model accurately classified participants in the training dataset (AUC=0.949) and testing dataset (AUC=0.902).

    “The model accurately classified participants in both the training (AUC=0.949; Supp. Fig. 25, Supp. Table S49) and testing datasets (AUC=0.902, Fig. 4G).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    The model performed better than a PRS with covariates or a model incorporating APOE genotype with covariates (P<2.2×10−16).

    “The model performed better than a PRS with covariates or a model incorporating APOE genotype with covariates (P<2.2×10−16, Supp. Table S50).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    The study highlighted a lysosomal role, with GRN and TMEM106B among others implicated in endosome-lysosome fusion.

    “We also highlighted a lysosomal role, with GRN and TMEM106B among others implicated in endosome-lysosome fusion.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    In total, 5,750 proteins had genes that were included in the cell-type expression data.

    “In total, 5,750 proteins had genes that were included in the cell-type expression data.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    There is an instance where aptamers do not correlate with the expected genotype.

    “This includes an instance where aptamers do not correlate with the expected genotype (see Supplementary Notes, Supp. Figs. 27&28).”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductown data

    Filtering for cryptic relatedness through identity by descent was performed, and pairs with PI_HAT ≥0.25 were considered related with one sample from each pair removed.

    “Filtering for cryptic relatedness through identity by descent (IBD) was performed using PLINK1.998 including variants with MAF≥0.15 or HWE P≥0.001 and R2 of 0.2 (Supplementary Figure 2B). Pairs with PI_HAT≥0.25 were considered related and one sample from each pair was removed to minimize samples lost (n=230).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Study design and conductnone given

    The binding characteristics of each aptamer are not available, so the study cannot determine which isoform the aptamers are binding to.

    “The binding characteristics of each aptamer are not available, so we cannot determine which isoform the aptamers are binding to.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    Protein measurement using aptamers can introduce binding artifacts that affect the pQTL associations.

    “protein measurement using aptamers can introduce binding artifacts that affect the pQTL associations.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation

    CSF is neurologically relevant because it surrounds the brain and spinal cord, and many CSF proteins are derived from the central nervous system.

    “CSF is neurologically relevant as the fluid that surrounds the brain and spinal cord, while many CSF proteins are derived from the central nervous system92.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [92] Regeniter, A. et al. A modern approach to CSF analysis: pathophysiology, clinical application, proof of concept and laboratory reporting. Clin. Neurol. Neurosurg. 111, 313–318 (2009). source
  • Classified as probably not a substantial claim.

    Study design and conductnone given

    After merging all datasets, variants with genotyping rate ≥90%, minor allele count ≥10, and Hardy-Weinberg Equilibrium P ≥1×10−6 were kept.

    “All datasets were merged and variants with genotyping rate ≥90%, minor allele count (MAC) ≥10, and HWE P≥1×10−6 were kept.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Study design and conductown data

    The MR analysis harmonized the instrument and outcome datasets to ensure matching effect alleles.

    “We extracted the instrument variants then harmonized the two datasets to ensure matching effect alleles.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Study design and conductreasoning

    A study-wide significant p-value of 5×10−8/1450 (approximately P<3.45×10−11) was used to define trans-pQTL.

    “In total 1,450 proteomic PCs were necessary to account for that variance, so a study-wide significant p-value of 5x10−8/1450 (approximately P<3.45x10−11) was used to define trans-pQTL.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Study design and conductown data

    Principal component analysis was performed using PLINK1.9 to account for population stratification.

    “Principal component analysis (PCA) was performed using PLINK1.998 to account for population stratification.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductreasoning

    The cell-type analyses were derived from healthy individuals and RNA levels, which may correlate poorly with proteins.

    “Our cell-type analyses were derived from healthy individuals and RNA levels, which may correlate poorly with proteins.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    For all enrichment analyses, an FDR-corrected p-value threshold of 0.05 was used.

    “For all enrichment analyses, an FDR-corrected p-value threshold of 0.05 was used.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Study design and conductown data

    The MR analysis selected instrument variants by clumping all variants that reached genome-wide significance (P<5×10−8) in cis for each aptamer, using predefined default clumping thresholds.

    “We performed clumping on all variants that reached genome-wide significance (P<5×10−8) in cis for each aptamer, using the predefined default clumping thresholds.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductnone given

    Before imputation, high-quality directly sequenced variants were filtered for genotyping rate ≥98% per SNP or individual, MAF ≥0.01, and Hardy-Weinberg Equilibrium P ≥1×10−6.

    “Before imputation, high-quality directly sequenced variants were filtered based on the following criteria: (1) genotyping rate ≥98% per SNP or individual; (2) MAF≥0.01; and (3) Hardy-Weinberg Equilibrium (HWE) P≥1×10−6.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Study design and conductreasoning

    The prioritization was limited to proteins in the panel, excluding genes from many AD-associated regions and limiting the search space for those where a protein is included.

    “In addition, the prioritization was limited to proteins in the panel, excluding genes from many AD-associated regions and limiting the search space for those where a protein is included.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductown data

    In the external replication analysis, associations were corrected for age, sex, and population structure (gPC 1-4).

    “Analyses were corrected for age, sex, and population structure (gPC 1-4).”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductown data

    Quality control was also performed on the PPMI SOMAscan 5k data.

    “Quality control was also performed on the PPMI SOMAscan 5k data.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Study design and conductown data

    The MR analysis applied multiple test correction using Benjamini-Hochberg false discovery rate with an adjusted p-value threshold of 0.05.

    “We performed multiple test correction using Benjamini-Hochberg112 false discovery rate, with an adjusted p-value threshold of 0.05.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [112] Benjamini, Y. & Hochberg, Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. R. Stat. Soc. Series B Stat. Methodol. 57, 289–300 (1995). source
  • Classified as probably not a substantial claim.

    Study design and conductreasoning

    To account for pleiotropy, the MR analysis removed variants in pleiotropic regions that regulated two or more proteins, so only variants associated with a single protein were included.

    “To account for pleiotropy in the analysis, we first removed all variants for each aptamer including any variant in a pleiotropic region (as identified above) that regulated two or more proteins – so only variants associated with a single protein were included.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Study design and conductown data

    For each aptamer, age, self-reported sex, ten genetic principal components, and cohortArray variables were included as covariates in an additive linear model.

    “For each aptamer, age, self-reported sex, ten genetic principal components, and cohortArray variables (for example ADNI_OmniEx) were included as covariates in an additive linear model.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Study design and conductreasoning

    To account for sample size differences across cohorts, only aptamers present in the largest dataset were kept for analysis.

    “To account for sample size differences across the cohorts, only aptamers present in the largest dataset (that consisting of ADNI, DIAN, Knight-ADRC (Oct 2021), FACE, and Barcelona-1, Naptamers=7,008) were kept for analysis.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    This dataset has been applied to identify proteogenomic links between the LRRK2 locus and Parkinson's disease.

    “and this dataset has been applied to identify proteogenomic links between the LRRK2 locus and Parkinson’s disease21.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [21] Phillips, B. et al. Proteome wide association studies of LRRK2 variants identify novel causal and druggable proteins for Parkinson’s disease. NPJ Parkinsons Dis. 9, 107 (2023).

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Classified as probably not a substantial claim. May combine two claims.

    Study design and conductown data

    Aptamers that overlapped between at least two of PWAS, COLOC, and MR were determined and used for subsequent pathway and cell-type analyses.

    “We then determined the aptamers that overlapped between at least two of PWAS, COLOC, and MR and performed pathway and cell-type analyses as described below.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductreasoning

    The individuals used in the prediction models were also used when identifying the PWAS-significant proteins, so further analysis is needed in independent cohorts to validate the models.

    “We note that the individuals used in the prediction models were also used when identifying the PWAS-significant proteins, so further analysis is needed in independent cohorts to validate the models.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    TREM2 regulates microglial response to neurodegeneration.

    “Immune-relevant proteins included TREM2, which regulates microglial response to neurodegeneration68.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [68] Deczkowska, A. et al. Disease-associated microglia: a universal immune sensor of neurodegeneration. Cell 173, 1073–1081 (2018). source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductreasoning

    Ambiguous SNPs were removed from the analyses to avoid false-positive results due to genotyping array strand differences.

    “Ambiguous SNPs were removed from the analyses to avoid false-positive results due to genotyping array strand differences.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Study design and conductown data

    In MR analyses, the study attempted to control for horizontal pleiotropy by utilizing only cis-pQTL and removing variants associated with multiple proteins, but it was limited to the proteins in the panel.

    “while we attempted to control for horizontal pleiotropy in our MR analyses by utilizing only cis -pQTL and removing any variants associated with multiple proteins, we are limited to the proteins in the panel.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    Further quality control was performed on the normalized proteomics data according to an in-house protocol for samples from all cohorts except PPMI.

    “Further quality control was performed on the normalized proteomics data provided by Somalogic, according to an in-house protocol, for samples from all cohorts except PPMI.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Interpretationreasoning

    The ability to extract CSF from living individuals and its shared biology with the brain highlights its relevance for studying neurological disorders and diseases.

    “The ability to extract CSF from living individuals and its shared biology with the brain highlights its relevance for the study of neurological disorders and diseases.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: Proteins often directly contribute to disease because of their active participation in biological processes.
84 of 84
  • The paper relies on this without support.

    The genes driving the associations for most Alzheimer's disease GWAS loci are still unknown.

    “GWAS have identified over 75 loci associated with AD23, but the genes driving the associations for most of them are still unknown, and little research has been done to understand how these genes interact in specific pathways and disease mechanisms.”
  • The paper relies on this without support.

    Little research has been done to understand how Alzheimer's disease GWAS genes interact in specific pathways and disease mechanisms.

    “GWAS have identified over 75 loci associated with AD23, but the genes driving the associations for most of them are still unknown, and little research has been done to understand how these genes interact in specific pathways and disease mechanisms.”
  • The paper relies on this without support.

    Proteins often directly contribute to disease because of their active participation in biological processes.

    “Proteins, due to their active participation in biological processes, often directly contribute to disease.”
  • The paper relies on this without support.

    Little is understood about the genetic underpinnings regulating protein levels across tissues, especially in the context of neurological traits.

    “However, little is understood about the genetic underpinnings regulating protein levels across tissues, especially in the context of neurological traits.”
4 of 4

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?

  • There is limited pQTL information in nonplasma contexts, with no studies analyzing more than 1000 samples outside of plasma until recent CSF efforts.

    “There is limited pQTL information in nonplasma contexts, with no studies analyzing more than 1000 samples outside of plasma until recent cerebrospinal fluid (CSF) efforts (12, 13).”

    From Low overlap of plasma and CSF protein quantitative trait loci affects protein discovery for neurological disease (2026) · cites this paper as [12]

    The Discussion says that little is understood about genetic regulation of protein levels across tissues and reports a CSF pQTL dataset of 3,506 people, larger than previous CSF work. The Results also describe a prior brain pQTL study with 380 samples. Neither passage establishes the categorical claim that no study outside plasma had analyzed more than 1,000 samples before the recent CSF efforts. (LLM, conf=0.83)

    Experimental — accuracy not yet measured
  • The authors previously detected limited disease-specific pQTL effects.

    “although we previously detected limited disease-specific pQTL effects (12).”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Western, D., Timsina, J., Wang, L., Wang, C., Yang, C., Phillips, B., Wang, Y., Liu, M., Ali, M., Beric, A., Gorijala, P., Kohlfeld, P., Budde, J., Levey, A. I., Morris, J. C., Perrin, R. J., Ruiz, A., Marquié, M., Boada, M., de Rojas, I., Rutledge, J., Oh, H., Wilson, E. N., Le Guen, Y., Reus, L. M., Tijms, B., Visser, P. J., van der Lee, S. J., Pijnenburg, Y. A. L., Teunissen, C. E., del Campo Milan, M., Alvarez, I., Aguilar, M., Dominantly Inherited Alzheimer Network (DIAN), (ADNI), T. A. D. N. I., Greicius, M. D., Pastor, P., Pulford, D. J., Ibanez, L., Wyss-Coray, T., Sung, Y. J., & Cruchaga, C.
Affiliations
  • Washington University in St. Louis (US)
  • Emory University (US)
  • Instituto de Salud Carlos III (ES)
  • Stanford University (US)
  • Stanford Medicine (US)
  • Amsterdam Neuroscience (NL)
  • Maastricht University (NL)
  • University Hospital Mútua de Terrassa (ES)
  • GlaxoSmithKline (United Kingdom) (GB)
Corresponding author
Cruchaga, Carlos
Venue
Nature Genetics
Published
2024-11-11
Volume
56
Issue
12
Pages
2672-2684
ISSN
  • 1061-4036 (ISSN-L)
  • 1546-1718
OpenAlex
W4404224780
Cited by
111
References
170
Citations by year
2026: 41 · 2025: 43 · 2024: 24 · 2023: 3
FWCI
28.66
Type
journal article
Language
en
Open access
Locations
  • Nature Genetics (publishedVersion)
  • Research Square (acceptedVersion, cc-by)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Pure Amsterdam UMC (publishedVersion, cc-by)
  • PubMed Central (submittedVersion, cc-by)
  • Research Publications (Maastricht University) (submittedVersion, other-oa)
Funders
  • U.S. Department of Health & Human Services | National Institutes of Health (R01AG044546, P01AG003991, RF1AG053303, RF1AG058501, U01AG058922)
  • Alzheimer's Association (ZEN-22-848604)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
Keywords
cerebrospinal fluid, proteome-wide association study, Alzheimer's disease, causal proteins, pleiotropy, apolipoprotein E, Mendelian randomization, colocalization, disease prediction model, druggable targets

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.

Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-11-01.

Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-11-01.

Cited sources are checked by gpt-6-sol.

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