Evidence map›Paper›PMID 21849985›Full record

ArticleNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2011

A genomewide linkage scan of cocaine dependence and major depressive episode in two populations.

Bao-Zhu Yang, Shizhong Han, Henry R Kranzler, Lindsay A Farrer, Joel Gelernter

Open access · bronzeAbstract readComparative StudyMulticenter Study
In one paragraph

Article in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

23 citing papers in PubMed, 35 citations in OpenAlex.

  1. Observational
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  11. Sex-specific linkage scans in opioid dependence.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2017
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  19. Child abuse and epigenetic mechanisms of disease risk.American journal of preventive medicine · 2013
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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

5 authors at 4 institutions in 1 country.

Bao-Zhu YangDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Shizhong Han
Henry R Kranzler
Lindsay A Farrer
Joel Gelernter
Yale University · USBoston Public Schools · USUniversity of Pennsylvania · USVA Connecticut Healthcare System · 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
Yale Microarray Center for Research the Nervous SystemU24NS051869 · NINDS · YALE UNIVERSITY · PI MANE, SHRIKANT M · 2005 to 2009
$6.9M
Linkage Disequilibrium Studies of Alcohol DependenceR01AA011330 · NIAAA · YALE UNIVERSITY · PI GELERNTER, JOEL · 1997 to 2013
$6.4M
Genetics of Cocaine DependenceR01DA018432 · NIDA · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI KRANZLER, HENRY RICHARD · 2006 to 2010
$3.5M
GENOTYPING FOR LOCATING HUMAN DISEASE GENESN01HG065403 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI VALLE, DAVID L · 1996 to 2000
$1.7M
Mapping Genes for comorbidity of SUDs and DepressionK01DA024758 · NIDA · YALE UNIVERSITY · PI YANG, BAO-ZHU · 2008 to 2012
$849k
NHGRI NIH HHS N01 HG065403NIAAA NIH HHS R01 AA011330NIAAA NIH HHS R01 AA11330NIDA NIH HHS K01 DA024758NIDA NIH HHS K01 DA24758NIDA NIH HHS R01 DA012690NIDA NIH HHS R01 DA012849NIDA NIH HHS R01 DA018432NIDA NIH HHS R01 DA12690NIDA NIH HHS R01 DA12849NIDA NIH HHS R01 DA18432NINDS NIH HHS U24 NS051869NINDS NIH HHS U24 NS051869-02S1
6 · The paper itself

Abstract

Cocaine dependence (CD) and major depressive episode (MDE) frequently co-occur with poorer treatment outcome and higher relapse risk. Shared genetic risk was affirmed; to date, there have been no reports of genomewide linkage scans (GWLSs) surveying the susceptibility regions for comorbid CD and MDE (CD-MDE). We aimed to identify chromosomal regions and candidate genes susceptible to CD, MDE, and CD-MDE in African Americans (AAs) and European Americans (EAs). A total of 1896 individuals were recruited from 384 AA and 355 EA families, each with at least a sibling-pair with CD and/or opioid dependence. Array-based genotyping of about 6000 single-nucleotide polymorphisms was completed for all individuals. Parametric and non-parametric genomewide linkage analyses were performed. We found a genomewide-significant linkage peak on chromosome 7 at 183.4 cM for non-parametric analysis of CD-MDE in AAs (lod=3.8, genomewide empirical p=0.016; point-wise p=0.00001). A nearly genomewide significant linkage was identified for CD-MDE in EAs on chromosome 5 at 14.3 cM (logarithm of odds (lod)=2.95, genomewide empirical p=0.055; point-wise p=0.00012). Parametric analysis corroborated the findings in these two regions and improved the support for the peak on chromosome 5 so that it reached genomewide significance (heterogeneity lod=3.28, genomewide empirical p=0.046; point-wise p=0.00053). This is the first GWLS for CD-MDE. The genomewide significant linkage regions on chromosomes 5 and 7 harbor four particularly promising candidate genes: SRD5A1, UBE3C, PTPRN2, and VIPR2. Replication of the linkage findings in other populations is warranted, as is a focused analysis of the genes located in the linkage regions implicated here.

Indexed as

AdolescentAdultCocaine-Related DisordersFemaleGenetic LinkageGenome-Wide Association StudyHumansMajor Depressive DisorderMaleMiddle AgedPolymorphism, Single NucleotidePopulation SurveillanceYoung Adult

Identifiers

PMID21849985
PMCPMC3194068
OpenAlexW2081580739

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.