Evidence map›Paper›PMID 23461817›Full record

ArticleTwin research and human genetics : the official journal of the International Society for Twin Studies2013

Genes, environments, and developmental research: methods for a multi-site study of early substance abuse.

E Jane Costello, Lindon Eaves, Patrick Sullivan, Martin Kennedy, Kevin Conway, Daniel E Adkins, A Angold, Shaunna L Clark, Alaattin Erkanli, Joseph L McClay and 6 more

Abstract readMulticenter StudyTwin Study
In one paragraph

Article in Twin research and human genetics : the official journal of the International Society for Twin Studies, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. PROSPER Intervention Effects on Adolescents' Alcohol Misuse Vary by GABRA2 Genotype and Age.Prevention science : the official journal of the Society for Prevention Research · 2018
    Article
  6. Article
  7. Review
  8. Review
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

16 authors.

E Jane CostelloDepartment of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA. jcostell@psych.duhs.duke.edu
Lindon Eaves
Patrick Sullivan
Martin Kennedy
Kevin Conway
Daniel E Adkins
A Angold
Shaunna L Clark
Alaattin Erkanli
Joseph L McClay
William Copeland
Hermine H Maes
Youfang Liu
Ashwin A Patkar
Judy Silberg
Edwin van den Oord

Funding

A Developmental Model of Gene-Environment Interplay in SUDsU01DA024413 · NIDA · DUKE UNIVERSITY · PI COSTELLO, ELIZABETH JANE · 2007 to 2010
$7.7M
Vulnerability to Drug Abuse:Pathways to RecoveryR01DA011301 · NIDA · DUKE UNIVERSITY · PI COSTELLO, ELIZABETH JANE · 1997 to 2015
$7.3M
Science CoreP2CHD065563 · NICHD · DUKE UNIVERSITY · PI James Moody · 2015 to 2026
$5.7M
Duke Population Research InstituteR24HD065563 · NICHD · DUKE UNIVERSITY · PI SANDERS, SETH G · 2010 to 2014
$1.4M
A Developmental Model of Gene-Environment Interplay in SUDsR01DA024413 · NIDA · DUKE UNIVERSITY · PI COSTELLO, ELIZABETH JANE · 2011 to 2011
$1.2M
Gene-Environment Interplay, Development, and Emotional DisordersK23MH080230 · NIMH · DUKE UNIVERSITY · PI COPELAND, WILLIAM · 2008 to 2012
$707k
Integrating Genomic and Environmental Perspectives on Internalizing DisordersK01MH093731 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI ADKINS, DANIEL E · 2011 to 2015
$649k
Investigating Methylation Patterns Associated with Alcohol Use and AddictionK01AA021266 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI CLARK, SHAUNNA L · 2012 to 2016
$580k
NIAAA NIH HHS K01 AA021266NICHD NIH HHS P2C HD065563NICHD NIH HHS R24 HD065563NIDA NIH HHS R01 DA011301NIDA NIH HHS R01 DA024413NIDA NIH HHS R01DA024413NIDA NIH HHS U01 DA024413NIMH NIH HHS K01 MH093731NIMH NIH HHS K01MH093731NIMH NIH HHS K23 MH080230NIMH NIH HHS K23MH080230
6 · The paper itself

Abstract

The importance of including developmental and environmental measures in genetic studies of human pathology is widely acknowledged, but few empirical studies have been published. Barriers include the need for longitudinal studies that cover relevant developmental stages and for samples large enough to deal with the challenge of testing gene-environment-development interaction. A solution to some of these problems is to bring together existing data sets that have the necessary characteristics. As part of the National Institute on Drug Abuse-funded Gene-Environment-Development Initiative, our goal is to identify exactly which genes, which environments, and which developmental transitions together predict the development of drug use and misuse. Four data sets were used of which common characteristics include (1) general population samples, including males and females; (2) repeated measures across adolescence and young adulthood; (3) assessment of nicotine, alcohol, and cannabis use and addiction; (4) measures of family and environmental risk; and (5) consent for genotyping DNA from blood or saliva. After quality controls, 2,962 individuals provided over 15,000 total observations. In the first gene-environment analyses, of alcohol misuse and stressful life events, some significant gene-environment and gene-development effects were identified. We conclude that in some circumstances, already collected data sets can be combined for gene-environment and gene-development analyses. This greatly reduces the cost and time needed for this type of research. However, care must be taken to ensure careful matching across studies and variables.

Indexed as

EnvironmentGene-Environment InteractionAdolescentAdultChildChild, PreschoolDevelopmental DisabilitiesDiseases in TwinsFemaleGenotypeHumansLife Change EventsLongitudinal StudiesMaleRisk FactorsSocial Environment

Identifiers

PMID23461817
PMCPMC3609892

What OpenQuestion holds

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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.