In one paragraphArticle in medRxiv : the preprint server for health sciences, 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
8 authors.
Qiang LiuCenter for Computational and Quantitative Genetics, Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, 30322, USA.ORCID 0009-0004-4197-6250 Shinya TasakiRush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, 60612, USA.ORCID 0000-0003-3656-7394 David A BennettRush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, 60612, USA.ORCID 0000-0002-4748-1206 Nicholas T SeyfriedDepartment of Biochemistry, Emory University School of Medicine, Atlanta, GA, 30322, USA.ORCID 0000-0002-4507-624X Philip L De JagerCenter for Translational and Computational Neuroimmunology, Department of Neurology and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY10032.ORCID 0000-0002-8057-2505 Vilas MenonCenter for Translational and Computational Neuroimmunology, Department of Neurology and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY10032.ORCID 0000-0002-4096-8601 Aron S BuchmanRush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, 60612, USA.ORCID 0000-0002-6426-2742 Jingjing YangCenter for Computational and Quantitative Genetics, Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, 30322, USA.ORCID 0000-0002-4191-4138 Funding
SUPPLEMENT 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
$43.3MRush 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
$21.4MPathway discovery, validation and compound identification for Alzheimer's disease - SupplementU01AG046152 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BENNETT, DAVID ALAN, DE JAGER, PHILIP L · 2013 to 2017
$13.6MAlzheimer variants: Propagation of shared functional changes across cellular networksU01AG072572 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DE JAGER, PHILIP L, ST GEORGE-HYSLOP, PETER HENRY · 2021 to 2025
$8.5MInvestigating Cis- and Trans-Genetic Regulation of Brain Transcriptomics and Proteomics Associated with AD/ADRDR01AG089703 · NIA · EMORY UNIVERSITY · PI Jingjing Yang · 2025 to 2026
$1.0MNIA NIH HHS P30 AG010161NIA NIH HHS P30 AG072975NIA NIH HHS R01 AG015819NIA NIH HHS R01 AG017917NIA NIH HHS R01 AG089703NIA NIH HHS U01 AG046152NIA NIH HHS U01 AG072572
6 · The paper itselfAbstract
To better illustrate the genetic etiology of Parkinson's disease (PD), we integrated xQTL weights derived from bulk RNA-seq (n=931), single-nucleus RNA-seq (n=415), and bulk proteomics (n=716) data of dorsolateral prefrontal cortex (DLPFC) with the largest available GWAS summary data of PD. Through integrative Omnibus TWAS and PWAS analyses, we detected risk genes whose genetic effects are mediated through bulk or cell-type-aware gene expression, or bulk protein abundances in DLPFC. We detected 39 significant risk genes by bulk TWAS, 66 by cell-type-aware TWAS across six brain cell types, and 17 by bulk PWAS. Importantly, 57.9% bulk and 62.5% cell-type-aware independent TWAS risk genes are replicated by bulk PWAS. Protein-protein interaction analyses reveal strong connectivity of our detected risk genes with known PD risk genes such as
Identifiers
PMID42245037
PMCPMC13232379
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