Evidence map›Paper›PMID 29071344›Full record

ArticleJAMA psychiatry2017

Genetic Risk Variants Associated With Comorbid Alcohol Dependence and Major Depression.

Hang Zhou, Renato Polimanti, Bao-Zhu Yang, Qian Wang, Shizhong Han, Richard Sherva, Yaira Z Nuñez, Hongyu Zhao, Lindsay A Farrer, Henry R Kranzler and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in JAMA psychiatry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 6 pooled it
9.0field-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

57 citing papers in PubMed, 6 syntheses or guidelines pooled it, 100 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 1 country.

Hang ZhouDivision of Human Genetics, Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.
Renato PolimantiDivision of Human Genetics, Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.
Bao-Zhu YangDivision of Human Genetics, Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.
Qian WangProgram in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut.
Shizhong HanDepartment of Psychiatry, University of Iowa, Iowa City.
Richard ShervaDepartment of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, Massachusetts.
Yaira Z NuñezDivision of Human Genetics, Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.
Hongyu ZhaoProgram in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut.
Lindsay A FarrerDepartment of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, Massachusetts.
Henry R KranzlerDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia.
Joel GelernterDivision of Human Genetics, Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.
Yale University · USVA Connecticut Healthcare System · USBoston University · USUniversity of Iowa · USUniversity of Pennsylvania · US

Funding

Sex-specific analysis of opioid dependence GWAS and beyondR01DA012690 · NIDA · YALE UNIVERSITY · PI GELERNTER, JOEL · 2000 to 2017
$14.0M
GENETICS OF COCAINE DEPENDENCER01DA012849 · NIDA · YALE UNIVERSITY · PI GELERNTER, JOEL · 1999 to 2010
$11.5M
Linkage Disequilibrium Studies of Alcohol DependenceR01AA011330 · NIAAA · YALE UNIVERSITY · PI GELERNTER, JOEL · 1997 to 2013
$6.4M
Genomewide Association Study of Cocaine Dependence in two PopulationsRC2DA028909 · NIDA · YALE UNIVERSITY · PI GELERNTER, JOEL · 2009 to 2010
$4.2M
Genetics of Cocaine DependenceR01DA018432 · NIDA · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI KRANZLER, HENRY RICHARD · 2006 to 2010
$3.5M
Genetics of Alcohol Dependence in African-AmericansR01AA017535 · NIAAA · YALE UNIVERSITY · PI GELERNTER, JOEL · 2009 to 2013
$3.0M
NIDA NIH HHS R01 DA018432
6 · The paper itself

Abstract

Importance: Alcohol dependence (AD) and major depression (MD) are leading causes of disability that often co-occur. Genetic epidemiologic data have shown that AD and MD share a common possible genetic cause. The molecular nature of this shared genetic basis is poorly understood. Objectives: To detect genetic risk variants for comorbid AD and MD and to determine whether polygenic risk alleles are shared with neuropsychiatric traits or subcortical brain volumes. Design, Setting, and Participants: This genome-wide association study analyzed criterion counts of comorbid AD and MD in African American and European American data sets collected as part of the Yale-Penn study of the genetics of drug and alcohol dependence from February 14, 1999, to January 13, 2015. After excluding participants never exposed to alcohol or with missing information for any diagnostic criterion, genome-wide association studies were performed on 2 samples (the Yale-Penn 1 and Yale-Penn 2 samples) totaling 4653 African American participants and 3169 European American participants (analyzed separately). Tests were performed to determine whether polygenic risk scores derived from potentially related traits in European American participants could be used to estimate comorbid AD and MD. Main Outcomes and Measures: Comorbid criterion counts (ranging from 0 to 14) for AD (7 criteria) and MD (9 criteria, scaled to 7) as defined by the DSM-IV. Results: Of the 7822 participants (3342 women and 4480 men; mean [SD] age, 40.1 [10.7] years), the median comorbid criterion count was 6.2 (interquartile range, 2.3-10.9). Under the linear regression model, rs139438618 at the semaphorin 3A (SEMA3A [OMIM 603961]) locus was significantly associated with AD and MD comorbidity in African American participants in the Yale-Penn 1 sample (β = 0.89; 95% CI, 0.57-1.20; P = 2.76 × 10-8). In the independent Yale-Penn 2 sample, the association was also significant (β = 0.83; 95% CI, 0.39-1.28; P = 2.06 × 10-4). Meta-analysis of the 2 samples yielded a more robust association (β = 0.87; 95% CI, 0.61-1.12; P = 2.41 × 10-11). There was no significant association identified in European American participants. Analyses of polygenic risk scores showed that individuals with a higher risk of neuroticism (β = 1.01; 95% CI, 0.50-1.52) or depressive symptoms (β = 0.87; 95% CI, 0.32-1.42) and a lower level of subjective well-being (β = -0.94; 95% CI, -1.46 to -0.42) and educational attainment (β = -1.00, 95% CI, -1.57 to -0.44) had a higher level of AD and MD comorbidity, while larger intracranial (β = 1.07; 95% CI, 0.50 to 1.64) and smaller putamen volumes (β = -1.16; 95% CI, -1.86 to -0.46) were associated with higher risks of AD and MD comorbidity. Conclusions and Relevance: SEMA3A variation is significantly and replicably associated with comorbid AD and MD in African American participants. Analyses of polygenic risk scores identified pleiotropy with neuropsychiatric traits and brain volumes. Further studies are warranted to understand the biological and genetic mechanisms of this comorbidity, which could facilitate development of medications and other treatments for comorbid AD and MD.

Indexed as

AlcoholismMajor Depressive DisorderAdultBlack or African AmericanComorbidityDiagnostic and Statistical Manual of Mental DisordersFemaleGenetic Predisposition to DiseaseGenetic VariationHumansMaleMiddle AgedMultifactorial InheritanceOrgan SizePutamenSemaphorin-3ASEMA3A protein, humanSemaphorin-3A

Identifiers

PMID29071344
PMCPMC6331050
OpenAlexW2766019160

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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.