Evidence map›Paper›PMID 36273948›Full record

ArticleBiological psychiatry2023

Phenome-wide Association Analysis of Substance Use Disorders in a Deeply Phenotyped Sample.

Rachel L Kember, Emily E Hartwell, Heng Xu, James Rotenberg, Laura Almasy, Hang Zhou, Joel Gelernter, Henry R Kranzler

Open access · greenAbstract read
In one paragraph

Article in Biological psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 3 pooled it
7.0field-weighted citation impact, top 2% 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

35 citing papers in PubMed, 3 syntheses or guidelines pooled it, 49 citations in OpenAlex.

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  9. Youth Correlates of Genetic Liability to Substance Use Disorders.medRxiv : the preprint server for health sciences · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Rachel L KemberDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania; Mental Illness Research, Education and Clinical Center, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania. Electronic address: rkember@pennmedicine.upenn.edu.
Emily E HartwellDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania; Mental Illness Research, Education and Clinical Center, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania.
Heng XuDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania.
James RotenbergMental Illness Research, Education and Clinical Center, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania.
Laura AlmasyDepartment of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Hang ZhouDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut; VA Connecticut Healthcare System, West Haven, Connecticut.
Joel GelernterDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut; VA Connecticut Healthcare System, West Haven, Connecticut; Departments of Genetics and Neuroscience, Yale University School of Medicine, New Haven, Connecticut.
Henry R KranzlerDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania; Mental Illness Research, Education and Clinical Center, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania.
Philadelphia VA Medical Center · USYale University · USChildren's Hospital of Philadelphia · USUniversity of Pennsylvania · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Radiochemistry CoreP30DA046345 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI KRANZLER, HENRY RICHARD, MACH, ROBERT H · 2019 to 2023
$9.4M
Genetics of Alcohol Dependence in African Americans: RecruitmentR01AA026364 · NIAAA · YALE UNIVERSITY · PI GELERNTER, JOEL · 2018 to 2022
$2.0M
Characterizing the phenotypic spectrum associated with genetic liability for alcohol use disorderK01AA028292 · NIAAA · UNIVERSITY OF PENNSYLVANIA · PI KEMBER, RACHEL LORRAINE · 2021 to 2024
$505k
CSRD VA IK2 CX002336NCATS NIH HHS UL1 TR001863NIAAA NIH HHS K01 AA028292NIAAA NIH HHS R01 AA026364NIDA NIH HHS P30 DA046345
6 · The paper itself

Abstract

backgroundSubstance use disorders (SUDs) are associated with a variety of co-occurring psychiatric disorders and other SUDs, which partly reflects genetic pleiotropy. Polygenic risk scores (PRSs) and phenome-wide association studies are useful in evaluating pleiotropic effects. However, the comparatively low prevalence of SUDs in population samples and the lack of detailed information available in electronic health records limit these data sets' informativeness for such analyses.

methodsWe used the deeply phenotyped Yale-Penn sample (n = 10,610 with genetic data; 46.3% African ancestry, 53.7% European ancestry) to examine pleiotropy for 4 major substance-related traits: alcohol use disorder, opioid use disorder, smoking initiation, and lifetime cannabis use. The sample includes both affected and control subjects interviewed using the Semi-Structured Assessment for Drug Dependence and Alcoholism, a comprehensive psychiatric interview.

resultsIn African ancestry individuals, PRS for alcohol use disorder, and in European individuals, PRS for alcohol use disorder, opioid use disorder, and smoking initiation were associated with their respective primary DSM diagnoses. These PRSs were also associated with additional phenotypes involving the same substance. Phenome-wide association study analyses of PRS in European individuals identified associations across multiple phenotypic domains, including phenotypes not commonly assessed in phenome-wide association study analyses, such as family environment and early childhood experiences.

conclusionsSmaller, deeply phenotyped samples can complement large biobank genetic studies with limited phenotyping by providing greater phenotypic granularity. These efforts allow associations to be identified between specific features of disorders and genetic liability for SUDs, which help to inform our understanding of the pleiotropic pathways underlying them.

Indexed as

AlcoholismSubstance-Related DisordersAlcohol DrinkingChild, PreschoolGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMultifactorial InheritancePhenotypeRisk FactorsDSM-5DSM-IVGeneticsGenome-wide association studyPhenome-wide association studyPolygenic risk scoreSubstance use disorders

Identifiers

PMID36273948
PMCPMC9931661
OpenAlexW4292416100

What OpenQuestion holds

Textmetadata
LicenceTDM
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Registered trials

None linked

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.