In one paragraphArticle in medRxiv : the preprint server for health sciences, 2025. 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
1 · What the graph read from itWhat 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
23 authors.
Khanh B TrangCenter for Spatial and Functional Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.ORCID 0000-0002-9434-508X Alessandra ChesiCenter for Spatial and Functional Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.ORCID 0000-0002-0954-7446 Sylvanus ToikumoMental Illness Research, Education and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA.ORCID 0000-0002-6024-0693 James A PippinCenter for Spatial and Functional Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Matthew C PahlCenter for Spatial and Functional Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Joan M O'BrienScheie Eye Institute, Department of Ophthalmology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, PA, USA.ORCID 0000-0003-4109-2928 Laufey T AmundadottirLaboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.ORCID 0000-0003-1859-8971 Kevin M BrownLaboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.ORCID 0000-0002-8558-6711 Wenli YangInstitute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-1873-2336 Jaclyn WellesInstitute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0001-7787-2825 Dominic SantoleriInstitute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-4468-6564 Paul M TitchenellInstitute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-9941-5649 Patrick SealeInstitute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0001-7119-1615 Babette S ZemelDivision of Gastroenterology, Hepatology, and Nutrition, Children's Hospital of Philadelphia, PA, USA.ORCID 0000-0002-6164-7348 Yadav WagleyDepartment of Orthopedic Surgery, University of Michigan Medical School Ann Arbor, MI, USA.ORCID 0000-0002-1261-4267 Kurt D HankensonDepartment of Orthopedic Surgery, University of Michigan Medical School Ann Arbor, MI, USA.ORCID 0000-0001-6361-143X Klaus H KaestnerInstitute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-1228-021X Stewart A AndersonDepartment of Child and Adolescent Psychiatry, Children's Hospital of Philadelphia, Philadelphia, PA, USA.ORCID 0000-0002-7655-5016 Matthew S KayserDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Andrew D WellsCenter for Spatial and Functional Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.ORCID 0000-0002-3630-2145 Henry R KranzlerMental Illness Research, Education and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA.ORCID 0000-0002-1018-0450 Rachel L KemberMental Illness Research, Education and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA.ORCID 0000-0001-8820-2659 Struan F A GrantCenter for Spatial and Functional Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.ORCID 0000-0003-2025-5302 Funding
Univ of Pennsylvania Diabetes Endocrinology Res CTRP30DK019525 · UNIVERSITY OF PENNSYLVANIA · 1986 to 2025
$10.9MDiscovery of osteoblast and osteoclast bone mass effector genes using advanced genomicsR01AG072705 · UNIVERSITY OF MICHIGAN AT ANN ARBOR · 2025 to 2025
$639kLeveraging GWAS Findings to Map Variants and Identify Novel Effector Genes for Alcohol-Related TraitsR01AA030056 · UNIVERSITY OF PENNSYLVANIA · 2025 to 2025
$625kVariant-to-gene mapping for brain related traits and disordersR35HG011959 · UNIVERSITY OF PENNSYLVANIA · 2025 to 2025
$455kNHGRI NIH HHS R35 HG011959NIAAA NIH HHS R01 AA030056NIA NIH HHS R01 AG072705NICHD NIH HHS R01 HD100406NIDDK NIH HHS P30 DK019525NIDDK NIH HHS UM1 DK126194
6 · The paper itselfAbstract
Recent genome-wide association studies (GWAS) revealed shared genetic components among substance use disorders (SUDs). However, the extent of underlying shared causal variants, effector genes, and cellular contexts, remain unclear. We integrated 3D genomic datasets (high-resolution promoter-focused Capture-C/Hi-C, ATAC-seq, RNA-seq) from 59 diverse human cell types with recent GWAS summary statistics for alcohol (AUD), tobacco (TUD), opioid (OUD), and cannabis use disorder (CanUD). Using stratified LD regression, we determined the proportion of SNP heritability attributable to features in these cell types. We observed significant enrichments (
Identifiers
PMID39072016
PMCPMC11275669
What Socratic holds
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