| Title |
A Test-Replicate Approach to Candidate Gene Research on Addiction and Externalizing Disorders: A Collaboration Across Five Longitudinal Studies
|
|---|---|
| Published in |
Behavior Genetics, July 2016
|
| DOI | 10.1007/s10519-016-9800-8 |
| Pubmed ID | |
| Authors |
Diana R. Samek, Jennifer Bailey, Karl G. Hill, Sylia Wilson, Susanne Lee, Margaret A. Keyes, Marina Epstein, Andrew Smolen, Michael Miller, Ken C. Winters, J. David Hawkins, Richard F. Catalano, William G. Iacono, Matt McGue |
| Abstract |
This study presents results from a collaboration across five longitudinal studies seeking to test and replicate models of gene-environment interplay in the development of substance use and externalizing disorders (SUDs, EXT). We describe an overview of our conceptual models, plan for gene-environment interplay analyses, and present main effects results evaluating six candidate genes potentially relevant to SUDs and EXT (MAOA, 5-HTTLPR, COMT, DRD2, DAT1, and DRD4). All samples included rich longitudinal and phenotypic measurements from childhood/adolescence (ages 5-13) through early adulthood (ages 25-33); sample sizes ranged from 3487 in the test sample, to ~600-1000 in the replication samples. Phenotypes included lifetime symptom counts of SUDs (nicotine, alcohol and cannabis), adult antisocial behavior, and an aggregate externalizing disorder composite. Covariates included the first 10 ancestral principal components computed using all autosomal markers in subjects across the data sets, and age at the most recent assessment. Sex, ancestry, and exposure effects were thoroughly evaluated. After correcting for multiple testing, only one significant main effect was found in the test sample, but it was not replicated. Implications for subsequent gene-environment interplay analyses are discussed. |
X Demographics
The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 2 | 11% |
| United States | 2 | 11% |
| United Kingdom | 2 | 11% |
| Russia | 1 | 5% |
| Canada | 1 | 5% |
| Sweden | 1 | 5% |
| Unknown | 10 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 63% |
| Scientists | 5 | 26% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 68 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 12% |
| Student > Ph. D. Student | 7 | 10% |
| Student > Bachelor | 6 | 9% |
| Student > Master | 6 | 9% |
| Student > Doctoral Student | 5 | 7% |
| Other | 10 | 15% |
| Unknown | 26 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 16 | 24% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Medicine and Dentistry | 3 | 4% |
| Social Sciences | 3 | 4% |
| Computer Science | 2 | 3% |
| Other | 9 | 13% |
| Unknown | 32 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 July 2022.
All research outputs
#3,623,195
of 25,196,456 outputs
Outputs from Behavior Genetics
#188
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Outputs of similar age
#63,764
of 373,923 outputs
Outputs of similar age from Behavior Genetics
#8
of 16 outputs
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