In one paragraphArticle in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registryThe trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
18 authors.
Chirag GuptaWaisman Center, University of Wisconsin-Madison, Madison, WI, USA.
Ryan Conway BurczakDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA.
Shuang LiuWaisman Center, University of Wisconsin-Madison, Madison, WI, USA.
PsychAD Consortium
Funding
Topographic, cell type and molecular pathway characterization ofAlzheimer's disease using single cell transcriptomics and epigenomicsU19AG060909 · NIA · ALLEN INSTITUTE · PI Jennie Leigh Close · 2020 to 2026
$83.6MTranslational pharmacoepidemiology: neuroprotection and neurotoxicity of antihypertensives and strong anticholinergicsU19AG066567 · NIA · KAISER FOUNDATION RESEARCH INSTITUTE · PI Christine L MacDonald · 2021 to 2026
$80.4MAlzheimer's Disease Genetics ConsortiumU01AG032984 · NIA · UNIVERSITY OF PENNSYLVANIA · PI SCHELLENBERG, GERARD DAVID · 2009 to 2024
$60.4MTHERAPEUTIC EFFECTS OF INTRA-NASAL INSULIN DETEMIRP50AG005136 · NIA · UNIVERSITY OF WASHINGTON · PI GRABOWSKI, THOMAS J. · 1985 to 2019
$57.2MProcurement and Characterization of Postmortem Brain TissueZICMH002903 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI MARENCO, STEFANO · 2009 to 2025
$56.0MSUPPLEMENT TO RUSH ALZHEIMERS DISEASE CENTER COREP30AG010161 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1991 to 2020
$49.1MEPIDEMIOLOGY OF NEURAL RESERVE AND NEUROBIOLOGY IN AGINGR01AG017917 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 2001 to 2023
$43.3MFurthering scientific understanding of mechanisms underlying resilience to the effects of AD pathology by incorporating state of the art quantification of gliosis, inflammation, & synaptic toxicityU01AG006781 · NIA · UNIVERSITY OF WASHINGTON · PI CRANE, PAUL K, LARSON, ERIC B · 1986 to 2020
$39.3MUniversity of Washington Alzheimer's Disease Research CenterP30AG066509 · NIA · UNIVERSITY OF WASHINGTON · PI Amanda D. Boyd · 2020 to 2026
$29.0MRush Alzheimer's Disease Research CenterP30AG072975 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI Lisa L Barnes, Julie A. Schneider · 2021 to 2026
$24.7MRISK FACTORS, PATHOLOGY, AND CLINICAL EXPRESSIONS OF ADR01AG015819 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1998 to 2024
$21.4MRisk Factors for Cognitive Decline in African-AmericansR01AG022018 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BARNES, LISA L · 2004 to 2025
$18.2MBLRD VA I01 BX004189Intramural NIH HHS ZIC MH002903National Science Foundation (NSF) Career 2144475NIA NIH HHS P30 AG010161NIA NIH HHS P30 AG066509NIA NIH HHS P30 AG072975NIA NIH HHS P50 AG005136NIA NIH HHS R01 AG015819NIA NIH HHS R01 AG017917NIA NIH HHS R01 AG022018NIA NIH HHS R01 AG030146NIA NIH HHS R01 AG036042NIA NIH HHS R01 AG036836NIA NIH HHS R01 AG048015NIA NIH HHS R01 AG050986NIA NIH HHS R01 AG065582NIA NIH HHS R01 AG066831NIA NIH HHS R01 AG067025NIA NIH HHS R01 AG082185NIA NIH HHS R01 AG095776NIA NIH HHS RC2 AG036547NIA NIH HHS RF1 AG057473NIA NIH HHS U01 AG006781NIA NIH HHS U01 AG032984NIA NIH HHS U01 AG046152NIA NIH HHS U01 AG046161NIA NIH HHS U01 AG061356NIA NIH HHS U01 AG072572NIA NIH HHS U19 AG060909NIA NIH HHS U19 AG066567NIA NIH HHS U24 AG087563NICHD NIH HHS P50 HD105353NIH HHS 75N95019C00049NIMH NIH HHS R01 MH109677NIMH NIH HHS R01 MH110921NIMH NIH HHS RF1 MH128695NIMH NIH HHS U01 MH116442NIMH NIH HHS U01 MH116492NINDS NIH HHS R21 NS127432NINDS NIH HHS R21 NS128761U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01AG067025
6 · The paper itselfAbstract
Alzheimer's disease (AD) is highly heterogeneous and driven by diverse molecular and cellular mechanisms. Functional genomics investigates these mechanisms from genetic variants to gene expression and regulation. We performed personalized functional genomics analysis on population-scale single-nucleus RNA-seq data, with cross-cohort validation across multiple cohorts comprising over 1900 individual brains, capturing donor-level cell type interactions and gene regulatory networks. Using a knowledge-guided graph neural network, we learned latent representations of each donor's functional genomics that accurately classified AD phenotypes, identified molecularly defined subpopulations, and traced disease progression trajectories. Our importance scores, derived from graph attentions, identified significant inter-donor differences and prioritized personalized cell type genes and regulatory networks. Finally, we identified gene regulatory QTLs (grQTLs) linking genetic variants to donor-level regulatory changes, providing insights into gene regulatory relationships beyond traditional eQTLs. All results are summarized into a personalized functional genomics atlas for AD, including an open-source framework, iBrainMap, for general use.
Indexed as
Alzheimer DiseaseSingle-Cell AnalysisTranscriptomeBrainGene Expression ProfilingGene Regulatory NetworksGenetic VariationGenomicsGraph Neural NetworksHumansPhenotypeQuantitative Trait LociSingle-Cell Gene Expression Analysis
Identifiers
PMID42778537
PMCPMC13601579
What OpenQuestion holds
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