Literature DB >> 16723188

Methodological issues in the assessment of substance use phenotypes.

Michael C Neale1, Steven H Aggen, Hermine H Maes, Thomas S Kubarych, J Eric Schmitt.   

Abstract

The measurement of behavior is inherently problematic, and this is especially true of substance use and abuse phenotypes. The contingent nature of many assessments, such that symptoms of abuse and dependence cannot be obtained from those who have not initiated substance use, presents special difficulties. Furthermore, it is not clear whether individual differences in liability to use, abuse and dependence are best characterized as dimensions or classes or a combination of both. This article outlines research designs and methods suitable for quantifying liability to substance use. The value of data collected from relatives is emphasized in this context, as they permit identification of models normally compromised because data on, e.g., substance dependence symptoms, are systematically missing in those who have not initiated use of the substance in question.

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Year:  2006        PMID: 16723188     DOI: 10.1016/j.addbeh.2006.03.047

Source DB:  PubMed          Journal:  Addict Behav        ISSN: 0306-4603            Impact factor:   3.913


  30 in total

1.  Differential age and sex effects in the assessment of major depression: a population-based twin item analysis of the DSM criteria.

Authors:  Steven H Aggen; Kenneth S Kendler; Thomas S Kubarych; Michael C Neale
Journal:  Twin Res Hum Genet       Date:  2011-12       Impact factor: 1.587

2.  Marriage and Divorce: A genetic perspective.

Authors:  Beth A Jerskey; Matthew S Panizzon; Kristen C Jacobson; Michael C Neale; Michael D Grant; Mark Schultz; Seth A Eisen; Ming T Tsuang; Michael J Lyons
Journal:  Pers Individ Dif       Date:  2010-10-01

3.  Recent advances in the genetic epidemiology and molecular genetics of substance use disorders.

Authors:  Kenneth S Kendler; Xiangning Chen; Danielle Dick; Hermine Maes; Nathan Gillespie; Michael C Neale; Brien Riley
Journal:  Nat Neurosci       Date:  2012-01-26       Impact factor: 24.884

4.  Is there heterogeneity among syndromes of substance use disorder for illicit drugs?

Authors:  Cheryl Beseler; Kristen C Jacobson; William S Kremen; Michael J Lyons; Stephen J Glatt; Stephen V Faraone; Nathan A Gillespie; Ming T Tsuang
Journal:  Addict Behav       Date:  2006-05-12       Impact factor: 3.913

5.  Evidence for multiple genetic factors underlying DSM-IV criteria for major depression.

Authors:  Kenneth S Kendler; Steven H Aggen; Michael C Neale
Journal:  JAMA Psychiatry       Date:  2013-06       Impact factor: 21.596

6.  Heteroscedastic Latent Trait Models for Dichotomous Data.

Authors:  Dylan Molenaar
Journal:  Psychometrika       Date:  2014-08-01       Impact factor: 2.500

7.  Comparing factor, class, and mixture models of cannabis initiation and DSM cannabis use disorder criteria, including craving, in the Brisbane longitudinal twin study.

Authors:  Thomas S Kubarych; Kenneth S Kendler; Steven H Aggen; Ryne Estabrook; Alexis C Edwards; Shaunna L Clark; Nicholas G Martin; Ian B Hickie; Michael C Neale; Nathan A Gillespie
Journal:  Twin Res Hum Genet       Date:  2014-03-03       Impact factor: 1.587

8.  Efficient calculation of empirical P-values for genome-wide linkage analysis through weighted permutation.

Authors:  Sarah E Medland; James E Schmitt; Bradley T Webb; Po-Hsiu Kuo; Michael C Neale
Journal:  Behav Genet       Date:  2008-09-23       Impact factor: 2.805

Review 9.  Predicting treatment outcome in stimulant dependence.

Authors:  Martina Reske; Martin P Paulus
Journal:  Ann N Y Acad Sci       Date:  2008-10       Impact factor: 5.691

10.  Dimensional or categorical approach to tinnitus severity: an item response mixture modeling analysis of tinnitus handicap.

Authors:  Hugo Hesser; Gerhard Andersson
Journal:  Int J Behav Med       Date:  2014-12
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