Article in Psychological medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
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 registry
The 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.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
23 authors.
Sarah E PaulDepartment of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA.ORCID 0000-0003-0320-7907
David A A BarangerDepartment of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA.ORCID 0000-0002-6659-357X
Emma C JohnsonDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0003-0394-777X
Joshua J JacksonDepartment of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA.
Aaron J GorelikDepartment of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA.ORCID 0000-0002-2589-1220
Alex P MillerDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Alexander S HatoumDepartment of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA.
Wesley K ThompsonPopulation Neuroscience and Genetics (PNG) Center, Laureate Institute for Brain Research, Tulsa, OK, USA.ORCID 0000-0002-1148-1976
Michael StrubeDepartment of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA.ORCID 0000-0002-4731-8142
Danielle M DickDepartment of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA.ORCID 0000-0002-1636-893X
Chella KamarajanDepartment of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA.ORCID 0000-0003-2291-6880
John R KramerDepartment of Psychiatry, Carver College of Medicine, The University of Iowa, Iowa City, IA, USA.
Martin H PlaweckiDepartment of Psychiatry, School of Medicine, Indiana University, Indianapolis, IN, USA.ORCID 0000-0003-0708-9514
Grace ChanDepartment of Psychiatry, Carver College of Medicine, The University of Iowa, Iowa City, IA, USA.ORCID 0000-0002-1257-6889
Andrey P AnokhinDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0001-8158-6346
David B ChorlianDepartment of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA.ORCID 0000-0001-8457-1406
Sivan KinreichDepartment of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA.ORCID 0000-0001-6480-1622
Jacquelyn L MeyersDepartment of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA.ORCID 0000-0003-3863-8555
Bernice PorjeszDepartment of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA.ORCID 0000-0003-2489-0389
Howard J EdenbergDepartment of Medical and Molecular Genetics, School of Medicine, Indiana University, Indianapolis, IN, USA.ORCID 0000-0003-0344-9690
Arpana AgrawalDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0002-0313-793X
Kathleen K BucholzDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0003-3794-0736
Ryan BogdanDepartment of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA.ORCID 0000-0002-1430-1045
Funding
Subject CollectionU10AA008401 · NIAAA · SUNY DOWNSTATE MEDICAL CENTER · PI JAY Arnold TISCHFIELD · 1989 to 2026
$162.7M
23/24 Healthy Brain and Child Development National ConsortiumU01DA055367 · NIDA · WASHINGTON UNIVERSITY · PI RYAN H BOGDAN, CYNTHIA Elise ROGERS · 2021 to 2026
$10.8M
Transdisciplinary Training in Addictions ResearchT32DA015035 · NIDA · WASHINGTON UNIVERSITY · PI Leopoldo J Cabassa, Patricia A Cavazos-Rehg · 2002 to 2026
$5.3M
7/7 Psychiatric Genomics Consortium: Advancing Discovery and ImpactR01DA054869 · NIDA · WASHINGTON UNIVERSITY · PI AGRAWAL, ARPANA, EDENBERG, HOWARD J · 2021 to 2025
$3.3M
Intergenerational Transmission of Stress: Psychosocial and Biological MechanismsR01AG061162 · NIA · WASHINGTON UNIVERSITY · PI BOGDAN, RYAN H · 2019 to 2023
$3.1M
Neurobehavioral pathways of polygenic and polyenvironmental effects on the onset and maintenance of substance involvementR01DA054750 · NIDA · WASHINGTON UNIVERSITY · PI AGRAWAL, ARPANA, BOGDAN, RYAN H · 2021 to 2025
$2.0M
DELINEATING THE ROLE OF GENETIC INFLUENCES ON CANNABIS INVOLVEMENTK02DA032573 · NIDA · WASHINGTON UNIVERSITY · PI AGRAWAL, ARPANA · 2012 to 2021
$1.1M
Mass Multivariate Derivation and Validation of AUD Biotypes using Developmental Imaging and Genomic ApproachesK01AA030083 · NIAAA · WASHINGTON UNIVERSITY · PI Alexander S Hatoum · 2022 to 2026
$897k
Identifying genetic sources of comorbidity between cannabis and schizophrenia using genome-wide and integrative omics dataK01DA051759 · NIDA · WASHINGTON UNIVERSITY · PI JOHNSON, EMMA COVEY · 2021 to 2025
$816k
Modeling poly-genomic risk in the relationship between brain structure and alcohol involvement from adolescence through adulthoodR21AA027827 · NIAAA · WASHINGTON UNIVERSITY · PI BOGDAN, RYAN H · 2019 to 2020
$413k
Reciprocal longitudinal associations between brain function and alcohol use trajectories in adolescents and young adultsK99AA030808 · NIAAA · WASHINGTON UNIVERSITY · PI BARANGER, DAVID A · 2023 to 2024
$346k
Trajectories of Alcohol Involvement from Middle Childhood to Early Adulthood: A Multimodal InvestigationF31AA029934 · NIAAA · WASHINGTON UNIVERSITY · PI PAUL, SARAH EMILY · 2021 to 2023
backgroundAlthough the link between alcohol involvement and behavioral phenotypes (e.g. impulsivity, negative affect, executive function [EF]) is well-established, the directionality of these associations, specificity to stages of alcohol involvement, and extent of shared genetic liability remain unclear. We estimate longitudinal associations between transitions among alcohol milestones, behavioral phenotypes, and indices of genetic risk.
methodsData came from the Collaborative Study on the Genetics of Alcoholism (
resultsExternalizing phenotypes (e.g. conduct disorder symptoms) were associated with future initiation and drinking problems (hazard ratio (HR)⩾1.16). Internalizing (e.g. social anxiety) was associated with hazards for progression from first drink to severe AUD (HR⩾1.55). Initiation and AUD were associated with increased hazards for later depressive symptoms and suicidal ideation (HR⩾1.38), and initiation was associated with increased hazards for future conduct symptoms (HR = 1.60). EF was not associated with alcohol transitions. Drinks per week PGS was linked with increased hazards for alcohol transitions (HR⩾1.06). Problematic alcohol use PGS increased hazards for suicidal ideation (HR = 1.20).
conclusionsBehavioral markers of addiction vulnerability precede and follow alcohol transitions, highlighting dynamic, bidirectional relationships between behavior and emerging addiction.
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.
Alcohol milestones and internalizing, externalizing, and executive function: longitudinal and polygenic score associations. · full record | OpenQuestion