In one paragraphArticle in bioRxiv : the preprint server for biology, 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
21 authors.
Olga M SigalovaLaboratory of Computational Biology, Department of Human Genetics, KU Leuven, Leuven, Belgium.ORCID 0000-0001-8598-1079 Alexandra PančíkováLaboratory of Computational Biology, Department of Human Genetics, KU Leuven, Leuven, Belgium.ORCID 0000-0002-0693-132X Julie De ManLaboratory of Computational Biology, Department of Human Genetics, KU Leuven, Leuven, Belgium.ORCID 0009-0003-7208-8961 Koen TheunisLaboratory of Computational Biology, Department of Human Genetics, KU Leuven, Leuven, Belgium.ORCID 0000-0002-0699-6676 Gert J HulselmansLaboratory of Computational Biology, Department of Human Genetics, KU Leuven, Leuven, Belgium.ORCID 0000-0003-2205-1899 Vasileios KonstantakosLaboratory of Computational Biology, Department of Human Genetics, KU Leuven, Leuven, Belgium.ORCID 0000-0002-0332-7506 Bram StuyvenLaboratory of Computational Biology, Department of Human Genetics, KU Leuven, Leuven, Belgium.ORCID 0009-0000-5282-1837 Anton De BrabandereLaboratory of Computational Biology, Department of Human Genetics, KU Leuven, Leuven, Belgium.ORCID 0009-0003-6298-8878 Jarne GeurtsAligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, United States.ORCID 0000-0002-1194-781X Antonina MikorskaAligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, United States.ORCID 0000-0001-6739-572X Shinjini MukherjeeAligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, United States.ORCID 0000-0001-9206-8739 Sara Abouelasrar SalamaAligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, United States.ORCID 0000-0002-0484-7765 Katy VandereykenAligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, United States.ORCID 0000-0002-4477-5866 Lukas MahieuLaboratory of Computational Biology, Department of Human Genetics, KU Leuven, Leuven, Belgium.ORCID 0009-0002-5085-6985 Charles H AdlerDepartment of Neurology, Mayo Clinic School of Medicine, Mayo Clinic Arizona, Scottsdale.ORCID 0000-0002-1045-2743 Thierry VoetAligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, United States.ORCID 0000-0003-1204-9963 Stein AertsLaboratory of Computational Biology, Department of Human Genetics, KU Leuven, Leuven, Belgium.ORCID 0000-0002-8006-0315 Funding
Research Education ComponentP30AG019610 · NIA · SUN HEALTH RESEARCH INSTITUTE · PI REIMAN, ERIC MICHAEL · 2001 to 2020
$32.5MResearch Education ComponentP30AG072980 · NIA · BANNER HEALTH · PI ALIREZA ATRI · 2021 to 2026
$24.9MNational Brain and Tissue Resource for Parkinson's Disease and Related DisordersU24NS072026 · NINDS · BANNER SUN HEALTH RESEARCH INSTITUTE · PI BEACH, THOMAS G · 2011 to 2015
$7.8MNIA NIH HHS P30 AG019610NIA NIH HHS P30 AG072980NINDS NIH HHS U24 NS072026
6 · The paper itselfAbstract
Genome-wide association studies (GWAS) have linked more than a hundred non-coding genomic loci to Parkinson's disease (PD) risk. Deciphering their functional impact on gene regulation requires cell type-aware modeling approaches to assess the effects of sequence variation on enhancer function and target gene expression. To address this challenge, we generated a comprehensive matched dataset from 190 human donors (115 controls and 75 PD), comprising long-read whole-genome sequencing alongside single nucleus multiome atlases (snATAC-seq and snRNA-seq for 3.1 and 1.1 million nuclei respectively) of the anterior cingulate cortex and substantia nigra. By integrating chromatin accessibility quantitative trait loci (caQTL), DNA methylation QTL (meQTL), and allele-specific chromatin accessibility (ASCA), we identified 53,841 high-confidence
Identifiers
PMID41889906
PMCPMC13015329
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