Literature DB >> 23362009

Three mutually informative ways to understand the genetic relationships among behavioral disinhibition, alcohol use, drug use, nicotine use/dependence, and their co-occurrence: twin biometry, GCTA, and genome-wide scoring.

Scott I Vrieze1, Matt McGue, Michael B Miller, Brian M Hicks, William G Iacono.   

Abstract

Behavioral disinhibition is a trait hypothesized to represent a general vulnerability to the development of substance use disorders. We used a large community-representative sample (N = 7,188) to investigate the genetic and environmental relationships among measures of behavioral disinhibition, Nicotine Use/Dependence, Alcohol Consumption, Alcohol Dependence, and Drug Use. First, using a subsample of twins (N = 2,877), we used standard twin models to estimate the additive genetic, shared environmental, and non-shared environmental contributions to these five traits. Heritabilities ranged from .42 to .58 and shared environmental effects ranged from .12 to .24. Phenotypic correlations among the five traits were largely attributable to shared genetic effects. Second, we used Genome-wide Complex Trait Analysis (GCTA) to estimate as a random effect the aggregate genetic effect attributable to 515,384 common SNPs. The aggregated SNPs explained 10-30 % of the variance in the traits. Third, a genome-wide scoring approach summed the actual SNPs, creating a SNP-based genetic risk score for each individual. After tenfold internal cross-validation, the SNP sumscore correlated with the traits at .03 to .07 (p < .05), indicating small but detectable effects. SNP sumscores generated on one trait correlated at approximately the same magnitude with other traits, indicating detectable pleiotropic effects among these traits. Behavioral disinhibition thus shares genetic etiology with measures of substance use, and this relationship is detectable at the level of measured genomic variation.

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Year:  2013        PMID: 23362009      PMCID: PMC3579160          DOI: 10.1007/s10519-013-9584-z

Source DB:  PubMed          Journal:  Behav Genet        ISSN: 0001-8244            Impact factor:   2.805


  31 in total

1.  Minnesota Twin Family Study.

Authors:  William G Iacono; Matt McGue
Journal:  Twin Res       Date:  2002-10

2.  The mystery of missing heritability: Genetic interactions create phantom heritability.

Authors:  Or Zuk; Eliana Hechter; Shamil R Sunyaev; Eric S Lander
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-05       Impact factor: 11.205

Review 3.  Model selection and psychological theory: a discussion of the differences between the Akaike information criterion (AIC) and the Bayesian information criterion (BIC).

Authors:  Scott I Vrieze
Journal:  Psychol Methods       Date:  2012-02-06

Review 4.  Genome-wide association studies for common diseases and complex traits.

Authors:  Joel N Hirschhorn; Mark J Daly
Journal:  Nat Rev Genet       Date:  2005-02       Impact factor: 53.242

5.  Principal components analysis corrects for stratification in genome-wide association studies.

Authors:  Alkes L Price; Nick J Patterson; Robert M Plenge; Michael E Weinblatt; Nancy A Shadick; David Reich
Journal:  Nat Genet       Date:  2006-07-23       Impact factor: 38.330

6.  GenABEL: an R library for genome-wide association analysis.

Authors:  Yurii S Aulchenko; Stephan Ripke; Aaron Isaacs; Cornelia M van Duijn
Journal:  Bioinformatics       Date:  2007-03-23       Impact factor: 6.937

7.  Common SNPs explain a large proportion of the heritability for human height.

Authors:  Jian Yang; Beben Benyamin; Brian P McEvoy; Scott Gordon; Anjali K Henders; Dale R Nyholt; Pamela A Madden; Andrew C Heath; Nicholas G Martin; Grant W Montgomery; Michael E Goddard; Peter M Visscher
Journal:  Nat Genet       Date:  2010-06-20       Impact factor: 38.330

Review 8.  Confluence of genes, environment, development, and behavior in a post Genome-Wide Association Study world.

Authors:  Scott I Vrieze; William G Iacono; Matt McGue
Journal:  Dev Psychopathol       Date:  2012-11

9.  Decline in genetic influence on the co-occurrence of alcohol, marijuana, and nicotine dependence symptoms from age 14 to 29.

Authors:  Scott I Vrieze; Brian M Hicks; William G Iacono; Matt McGue
Journal:  Am J Psychiatry       Date:  2012-10       Impact factor: 18.112

10.  An assessment of the individual and collective effects of variants on height using twins and a developmentally informative study design.

Authors:  Scott I Vrieze; Matt McGue; Michael B Miller; Lisa N Legrand; Nicholas J Schork; William G Iacono
Journal:  PLoS Genet       Date:  2011-12-08       Impact factor: 5.917

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  53 in total

1.  Genome-wide single nucleotide polymorphism heritability of nicotine dependence as a multidimensional phenotype.

Authors:  L C Bidwell; R H C Palmer; L Brick; J E McGeary; V S Knopik
Journal:  Psychol Med       Date:  2016-04-07       Impact factor: 7.723

2.  Prediction of alcohol use disorder using personality disorder traits: a twin study.

Authors:  Tom Rosenström; Fartein Ask Torvik; Eivind Ystrom; Nikolai Olavi Czajkowski; Nathan A Gillespie; Steven H Aggen; Robert F Krueger; Kenneth S Kendler; Ted Reichborn-Kjennerud
Journal:  Addiction       Date:  2017-08-23       Impact factor: 6.526

3.  Shared additive genetic variation for alcohol dependence among subjects of African and European ancestry.

Authors:  Leslie A Brick; Matthew C Keller; Valerie S Knopik; John E McGeary; Rohan H C Palmer
Journal:  Addict Biol       Date:  2017-11-27       Impact factor: 4.280

4.  Evolutionary behavioral genetics.

Authors:  Brendan P Zietsch; Teresa R de Candia; Matthew C Keller
Journal:  Curr Opin Behav Sci       Date:  2015-04

5.  Affiliation with substance-using peers: Examining gene-environment correlations among parent monitoring, polygenic risk, and children's impulsivity.

Authors:  Kit K Elam; Laurie Chassin; Kathryn Lemery-Chalfant; Danielle Pandika; Frances L Wang; Kaitlin Bountress; Danielle Dick; Arpana Agrawal
Journal:  Dev Psychobiol       Date:  2017-05-31       Impact factor: 3.038

6.  Rare nonsynonymous exonic variants in addiction and behavioral disinhibition.

Authors:  Scott I Vrieze; Shuang Feng; Michael B Miller; Brian M Hicks; Nathan Pankratz; Gonçalo R Abecasis; William G Iacono; Matt McGue
Journal:  Biol Psychiatry       Date:  2013-10-04       Impact factor: 13.382

7.  The role of conduct disorder in the relationship between alcohol, nicotine and cannabis use disorders.

Authors:  J D Grant; M T Lynskey; P A F Madden; E C Nelson; L R Few; K K Bucholz; D J Statham; N G Martin; A C Heath; A Agrawal
Journal:  Psychol Med       Date:  2015-08-18       Impact factor: 7.723

Review 8.  Overview of the Genetics of Alcohol Use Disorder.

Authors:  Elisabeth A Tawa; Samuel D Hall; Falk W Lohoff
Journal:  Alcohol Alcohol       Date:  2016-07-21       Impact factor: 2.826

9.  Exploring the genetic architecture of alcohol dependence in African-Americans via analysis of a genomewide set of common variants.

Authors:  Can Yang; Cong Li; Henry R Kranzler; Lindsay A Farrer; Hongyu Zhao; Joel Gelernter
Journal:  Hum Genet       Date:  2013-12-03       Impact factor: 4.132

10.  Effects of State-Level Tobacco Environment on Cigarette Smoking are Stronger Among Those With Individual-Level Risk Factors.

Authors:  Dvora Shmulewitz; Malka Stohl; Katherine M Keyes; Qiana Brown; Tulshi D Saha; Deborah Hasin
Journal:  Nicotine Tob Res       Date:  2016-04-29       Impact factor: 4.244

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