Article in Molecular psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 15% 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
3 citing papers in PubMed, 5 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
17 authors at 9 institutions in 2 countries.
E L NurmiDepartment of Psychiatry and Biobehavioral Sciences, University of California at Los Angeles, Los Angeles, CA, 90024, USA. enurmi@g.ucla.edu.ORCID 0000-0003-4893-8957
C P LaughlinDepartment of Psychiatry and Biobehavioral Sciences, University of California at Los Angeles, Los Angeles, CA, 90024, USA.ORCID 0000-0002-5683-6881
H de WitDepartment of Psychiatry, University of Chicago, Chicago, IL, 60637, USA.ORCID 0000-0002-7211-8994
A A PalmerDepartment of Psychiatry, University of California at San Diego, La Jolla, CA, 92093, USA.
J MacKillopPeter Boris Centre for Addictions Research, McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, ON, L8S4L8, Canada.ORCID 0000-0003-4118-9500
T D CannonDepartments of Psychology and Psychiatry, Yale University, New Haven, CT, 06520, USA.ORCID 0000-0002-5632-3154
R M BilderDepartment of Psychiatry and Biobehavioral Sciences, University of California at Los Angeles, Los Angeles, CA, 90024, USA.ORCID 0000-0001-5085-7852
E CongdonDepartment of Psychiatry and Biobehavioral Sciences, University of California at Los Angeles, Los Angeles, CA, 90024, USA.ORCID 0000-0003-2921-0944
F W SabbPrevention Science Institute, University of Utah, Salt Lake City, UT, 84112, USA.
L C SeamanDepartment of Psychiatry and Biobehavioral Sciences, University of California at Los Angeles, Los Angeles, CA, 90024, USA.
J J McElroyDepartment of Psychiatry and Biobehavioral Sciences, University of California at Los Angeles, Los Angeles, CA, 90024, USA.ORCID 0009-0005-4785-8025
M R LibowitzDepartment of Neurobiology, University of Kentucky, Lexington, KY, 40506, USA.
J WeaferDepartment of Psychology, University of Kentucky, Lexington, KY, 40506, USA.ORCID 0000-0002-7849-9900
J GrayDepartment of Psychology, University of Georgia, Athens, GA, 30602, USA.ORCID 0000-0002-5351-561X
A C DeanDepartment of Psychiatry and Biobehavioral Sciences, University of California at Los Angeles, Los Angeles, CA, 90024, USA.
G S HellemannDepartment of Public Health, University of Alabama at Birmingham, Birmingham, AL, 35294, USA.
E D LondonDepartment of Psychiatry and Biobehavioral Sciences, University of California at Los Angeles, Los Angeles, CA, 90024, USA.ORCID 0000-0003-3577-7808
University of California, Los Angeles · USUniversity of Kentucky · USSt. Joseph’s Healthcare Hamilton · CAUniversity of Alabama at Birmingham · USUniversity of California San Diego · USUniversity of Chicago · USUniversity of Georgia · USUniversity of Utah · USYale University · US
Funding
Human Translational Applications Core (HTA - Core) (7 of 8)PL1MH083271 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BILDER, ROBERT M · 2007 to 2011
$5.8M
Translational Methods/Facilities Core (TMF - Core) (8 of 8)PL1NS062410 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI EVANS, CHRISTOPHER J. · 2007 to 2011
$4.6M
Translational Models of Memory and Cognitive Control (Component 5 of 8)RL1MH083270 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI JENTSCH, J. DAVID · 2007 to 2011
$2.6M
The genetic basis of impulsive behavior in humansR01DA032015 · NIDA · UNIVERSITY OF CHICAGO · PI DE WIT, HARRIET · 2011 to 2015
$2.4M
Whole Genome Assoc. Analysis Strategies for Multi. PhenotypesRL1MH083268 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI FREIMER, NELSON B. · 2007 to 2011
$2.1M
Consortium for Neuropsychiatric Phenomics-Coordinating Center (1 of 8)UL1DE019580 · NIDCR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BILDER, ROBERT M · 2008 to 2011
$1.9M
Memory Mechanisms and Mental DisordersRL1MH083269 · NIMH · YALE UNIVERSITY · PI CANNON, TYRONE D · 2007 to 2011
$1.8M
Response Inhibition and Dopamine Neurotransmission (RI) (4 of 8)RL1DA024853 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LONDON, EDYTHE DANICK · 2007 to 2011
$1.7M
Hypothesis Web Development for Neuropsychiatric Phenomics (6 of 8)RL1LM009833 · NLM · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PARKER, DOUGLASS STOTT · 2007 to 2011
$1.5M
Genetic basis of inhibitory cognitive control as a dimensional construct spanning psychiatric illnessR03MH112032 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI NURMI, ERIKA L · 2017 to 2018
Risky decision-making is a common, heritable endophenotype seen across many psychiatric disorders. Its underlying genetic architecture is incompletely explored. We examined behavior in the Balloon Analogue Risk Task (BART), which tests risky decision-making, in two independent samples of European ancestry. One sample (n = 1138) comprised healthy participants and some psychiatric patients (53 schizophrenia, 42 bipolar disorder, 47 ADHD); the other (n = 911) excluded for recent treatment of various psychiatric disorders but not ADHD. Participants provided DNA and performed the BART, indexed by mean adjusted pumps. We constructed a polygenic risk score (PRS) for discovery in each dataset and tested it in the other as replication. Subsequently, a genome-wide MEGA-analysis, combining both samples, tested genetic correlation with risk-taking self-report in the UK Biobank sample and psychiatric phenotypes characterized by risk-taking (ADHD, Bipolar Disorder, Alcohol Use Disorder, prior cannabis use) in the Psychiatric Genomics Consortium. The PRS for BART performance in one dataset predicted task performance in the replication sample (r = 0.13, p = 0.000012, pFDR = 0.000052), as did the reciprocal analysis (r = 0.09, p = 0.0083, pFDR=0.04). Excluding participants with psychiatric diagnoses produced similar results. The MEGA-GWAS identified a single SNP (rs12023073; p = 3.24 × 10
Indexed as
Bipolar DisorderSchizophreniaAlcohol DrinkingBrainGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMultifactorial InheritanceRisk Factors
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.
Polygenic contributions to performance on the Balloon Analogue Risk Task. · full record | OpenQuestion