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
13 authors.
BaDoi N PhanComputational Biology Department, School of Computer Science, Carnegie Mellon University; Pittsburgh, PA, USA.ORCID 0000-0001-6331-5980 Alyssa J LawlerDepartment of Biological Sciences, Mellon College of Science, Carnegie Mellon University; Pittsburgh, PA, USA.ORCID 0000-0002-2151-5164 Jing HeNeurobiology Department, School of Medicine, University of Pittsburgh; Pittsburgh, PA, USA.
Ashley R BrownComputational Biology Department, School of Computer Science, Carnegie Mellon University; Pittsburgh, PA, USA.
Irene M KaplowComputational Biology Department, School of Computer Science, Carnegie Mellon University; Pittsburgh, PA, USA.ORCID 0000-0002-8924-8269 Amanda KowalczykComputational Biology Department, School of Computer Science, Carnegie Mellon University; Pittsburgh, PA, USA.ORCID 0000-0002-9061-1336 Chaitanya SrinivasanComputational Biology Department, School of Computer Science, Carnegie Mellon University; Pittsburgh, PA, USA.ORCID 0000-0002-1487-541X Grant A FoxComputational Biology Department, School of Computer Science, Carnegie Mellon University; Pittsburgh, PA, USA.ORCID 0000-0002-8932-5965 Rajee GanesanDepartment of Biological Sciences, Mellon College of Science, Carnegie Mellon University; Pittsburgh, PA, USA.ORCID 0000-0003-3020-8729 Ziheng ChenDepartment of Biological Sciences, Mellon College of Science, Carnegie Mellon University; Pittsburgh, PA, USA.
Daniel SchäfferComputational Biology Department, School of Computer Science, Carnegie Mellon University; Pittsburgh, PA, USA.
William R StaufferNeurobiology Department, School of Medicine, University of Pittsburgh; Pittsburgh, PA, USA.ORCID 0000-0003-1031-8824 Andreas R PfenningComputational Biology Department, School of Computer Science, Carnegie Mellon University; Pittsburgh, PA, USA.ORCID 0000-0002-7390-5041 Funding
A Massive Library of AAVs to Target Transcriptionally-Defined Primate Cell TypesUG3MH120094 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI STAUFFER, WILLIAM RICHARD · 2019 to 2021
$5.8MInterpreting the regulatory mechanisms underlying the predisposition to substance use disordersDP1DA046585 · NIDA · CARNEGIE-MELLON UNIVERSITY · PI PFENNING, ANDREAS ROBERT · 2018 to 2022
$2.4MIntegrating primate-rodent cell types and epigenomics to identify conservation in substance addictionF30DA053020 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PHAN, BADOI NGUYEN · 2021 to 2024
$204kNIDA NIH HHS DP1 DA046585NIDA NIH HHS F30 DA053020NIMH NIH HHS UG3 MH120094
6 · The paper itselfAbstract
Measures of nucleotide sequence conservation across species are useful for identifying functional genomic loci, but can fail when regulatory function is maintained, often in a cell type-specific manner, even when sequence is not. We introduce CTACIT, the Cell Type-Aware Conservation Inference Toolkit, to identify trait-associated regulatory variants. CTACIT integrates sequence conservation scores with cell type-specific open chromatin data collected from a few mammalian species to impute function for hundreds more. Applying CTACIT to neuropsychiatric trait loci identifies higher heritability enrichment and more fine-mapped variants than nucleotide conservation and human chromatin data alone. Our
Identifiers
PMID42367919
PMCPMC13308220
What OpenQuestion holds
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