Evidence map›Paper›PMID 31490055›Full record

ArticleJournal of psychiatry & neuroscience : JPN2020

A genome-wide association study of cocaine use disorder accounting for phenotypic heterogeneity and gene–environment interaction

Jiangwen Sun, Henry R. Kranzler, Joel Gelernter, Jinbo Bi

Open access · bronzeAbstract read
In one paragraph

Article in Journal of psychiatry & neuroscience : JPN, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 7% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
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  3. Adhesion G protein-coupled receptors.Pharmacological reviews · 2026
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  19. From single flies to many genes: UsingProceedings of the National Academy of Sciences of the United States of America · 2021
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4 · The record

Corrections and comments

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

4 authors at 4 institutions in 1 country.

Jiangwen SunFrom the Department of Computer Science and Engineering, University of Connecticut, School of Engineering, Storrs, CT (Sun, Bi); the University of Pennsylvania Perelman School of Medicine, Department of Psychiatry, Center for Studies of Addiction and Corporal Michael Crescenz VAMC, Philadelphia, PA (Kranzler); and the Yale University School of Medicine, Department of Psychiatry, Division of Human Genetics and Departments of Genetics and Neurobiology; and VA CT Healthcare Center, New Haven, CT (Gelernter).
Henry R. KranzlerFrom the Department of Computer Science and Engineering, University of Connecticut, School of Engineering, Storrs, CT (Sun, Bi); the University of Pennsylvania Perelman School of Medicine, Department of Psychiatry, Center for Studies of Addiction and Corporal Michael Crescenz VAMC, Philadelphia, PA (Kranzler); and the Yale University School of Medicine, Department of Psychiatry, Division of Human Genetics and Departments of Genetics and Neurobiology; and VA CT Healthcare Center, New Haven, CT (Gelernter).
Joel GelernterFrom the Department of Computer Science and Engineering, University of Connecticut, School of Engineering, Storrs, CT (Sun, Bi); the University of Pennsylvania Perelman School of Medicine, Department of Psychiatry, Center for Studies of Addiction and Corporal Michael Crescenz VAMC, Philadelphia, PA (Kranzler); and the Yale University School of Medicine, Department of Psychiatry, Division of Human Genetics and Departments of Genetics and Neurobiology; and VA CT Healthcare Center, New Haven, CT (Gelernter).
Jinbo BiFrom the Department of Computer Science and Engineering, University of Connecticut, School of Engineering, Storrs, CT (Sun, Bi); the University of Pennsylvania Perelman School of Medicine, Department of Psychiatry, Center for Studies of Addiction and Corporal Michael Crescenz VAMC, Philadelphia, PA (Kranzler); and the Yale University School of Medicine, Department of Psychiatry, Division of Human Genetics and Departments of Genetics and Neurobiology; and VA CT Healthcare Center, New Haven, CT (Gelernter).
Old Dominion University · USPediatrics and Genetics · USUniversity of Connecticut · USUniversity of Pennsylvania · US

Funding

Quantitative methods to subtype drug dependence and detect novel genetic variantsR01DA037349 · NIDA · UNIVERSITY OF CONNECTICUT STORRS · PI BI, JINBO · 2015 to 2018
$1.1M
Classifying addictions using machine learning analysis of multidimensional dataK02DA043063 · NIDA · UNIVERSITY OF CONNECTICUT STORRS · PI BI, JINBO · 2017 to 2021
$809k
NIDA NIH HHS K02 DA043063NIDA NIH HHS R01 DA037349
6 · The paper itself

Abstract

Background: Phenotypic heterogeneity and complicated gene–environment interplay in etiology are among the primary factors that hinder the identification of genetic variants associated with cocaine use disorder. Methods: To detect novel genetic variants associated with cocaine use disorder, we derived disease traits with reduced phenotypic heterogeneity using cluster analysis of a study sample (n = 9965). We then used these traits in genome-wide association tests, performed separately for 2070 African Americans and 1570 European Americans, using a new mixed model that accounted for the moderating effects of 5 childhood environmental factors. We used an independent sample (918 African Americans, 1382 European Americans) for replication. Results: The cluster analysis yielded 5 cocaine use disorder subtypes, of which subtypes 4 (n = 3258) and 5 (n = 1916) comprised heavy cocaine users, had high heritability estimates (h2 = 0.66 and 0.64, respectively) and were used in association tests. Seven of the 13 identified genetic loci in the discovery phase were available in the replication sample. In African Americans, rs114492924 (discovery p = 1.23 × E−8), a single nucleotide polymorphism in LINC01411, was replicated in the replication sample (p = 3.63 × E−3). In a meta-analysis that combined the discovery and replication results, 3 loci in African Americans were significant genome-wide: rs10188036 in TRAK2 (p = 2.95 × E−8), del-1:15511771 in TMEM51 (p = 9.11 × E−10) and rs149843442 near LPHN2 (p = 3.50 × E−8). Limitations: Lack of data prevented us from replicating 6 of the 13 identified loci. Conclusion: Our results demonstrate the importance of considering phenotypic heterogeneity and gene–environment interplay in detecting genetic variations that contribute to cocaine use disorder, because new genetic loci have been identified using our novel analytic method.

Indexed as

Gene-Environment InteractionGenome-Wide Association StudyAdultBlack or African AmericanCase-Control StudiesCluster AnalysisCocaine-Related DisordersFamilyFemaleGenetic LociGenetic VariationHumansMaleMiddle AgedPhenotypePolymorphism, Single Nucleotide

Identifiers

PMID31490055
PMCPMC6919916
OpenAlexW2981699739

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.