Article in Alcohol, clinical & experimental research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 30% of its field
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.
3 · Its place in the literature
Who cites it
2 citing papers in PubMed, 3 citations in OpenAlex.
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
15 authors at 7 institutions in 1 country.
Sally I-Chun KuoDepartment of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, New Jersey, USA.ORCID 0000-0002-6192-1001
Nathaniel S ThomasDepartment of Psychology, Virginia Commonwealth University, Richmond, Virginia, USA.
Fazil AlievDepartment of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, New Jersey, USA.
Kathleen K BucholzDepartment of Psychiatry, School of Medicine, Washington University in St. Louis, St. Louis, Missouri, USA.
Danielle M DickDepartment of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, New Jersey, USA.ORCID 0000-0002-1636-893X
Vivia V McCutcheonDepartment of Psychiatry, School of Medicine, Washington University in St. Louis, St. Louis, Missouri, USA.ORCID 0000-0002-2694-5438
Jacquelyn L MeyersDepartment of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, New York, USA.
Grace ChanDepartment of Psychiatry, University of Connecticut School of Medicine, Farmington, Connecticut, USA.ORCID 0000-0002-1257-6889
Chella KamarajanDepartment of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, New York, USA.ORCID 0000-0003-2291-6880
John R KramerDepartment of Psychiatry, University of Iowa, Iowa City, Iowa, USA.ORCID 0000-0002-1321-7087
Victor HesselbrockDepartment of Psychiatry, University of Connecticut School of Medicine, Farmington, Connecticut, USA.ORCID 0000-0002-0495-8641
Martin H PlaweckiDepartment of Psychiatry, Indiana University, Indianapolis, Indiana, USA.ORCID 0000-0003-0708-9514
Bernice PorjeszDepartment of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, New York, USA.
Jay TischfieldDepartment of Genetics, Rutgers University, Piscataway, New Jersey, USA.
Jessica E SalvatoreDepartment of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, New Jersey, USA.ORCID 0000-0001-5504-5087
Rutgers, The State University of New Jersey · USSUNY Downstate Health Sciences University · USUniversity of Connecticut · USWashington University in St. Louis · USIndiana University – Purdue University Indianapolis · USUniversity of Iowa · USVirginia Commonwealth University · US
Funding
Subject CollectionU10AA008401 · NIAAA · SUNY DOWNSTATE MEDICAL CENTER · PI JAY Arnold TISCHFIELD · 1989 to 2026
$162.7M
National Centralized Repository for Alzheimer's Disease and Related Dementias (NCRAD)U24AG021886 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI TATIANA M. FOROUD · 2002 to 2026
$119.8M
Using genetically informed designs to understand the impact of parental divorce/separation and parental marital discord on offspring alcohol outcomesR01AA028064 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI SALVATORE, JESSICA E · 2020 to 2023
$1.3M
Genetics, Romantic Relationships, and Alcohol Misuse in Emerging AdulthoodK01AA024152 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI SALVATORE, JESSICA E · 2016 to 2020
backgroundParental divorce and discord are associated with poorer alcohol-related outcomes for offspring. However, not all children exposed to these stressors develop alcohol problems. Our objective was to test gene-by-environment interaction effects whereby children's genetic risk for alcohol problems modifies the effects of parental divorce and discord to predict alcohol outcomes.
methodsThe sample included European (EA; N = 5608, 47% male, M
resultsAmong EA participants, parental divorce, parental discord, and higher PRS
conclusionsChildren's genetic risk for alcohol problems modifies the impact of parental divorce/discord, consistent with an additive model of diathesis-stress interaction, with some differences across ancestry.
Indexed as
AlcoholismAlcohol-Related DisordersAdultAlcohol DrinkingChildDivorceFemaleHumansMaleParentsalcohol use disorderdivorcegene-environmentparental conflictpolygenic scores
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.
Association of parental divorce, discord, and polygenic risk with children's alcohol initiation and lifetime risk for alcohol use disorder. · full record | OpenQuestion