Genetic analysis of diagnostic systems of alcoholism in males

Marianne B M Van Den Bree; Eric O. Johnson; Michael C. Neale; Dace S. Svikis; Matt McGue; Roy W. Pickens

doi:10.1016/S0006-3223(97)00225-4

Genetic analysis of diagnostic systems of alcoholism in males

Marianne B M Van Den Bree, Eric O. Johnson, Michael C. Neale, Dace S. Svikis, Matt McGue, Roy W. Pickens

Psychology (Twin Cities)

Research output: Contribution to journal › Article › peer-review

39 Scopus citations

Abstract

Background: Research into genes involved in alcoholism could benefit from use of diagnostic systems most sensitive to detecting genetic influences. In this study, heritable influences were estimated in a single twin sample with commonly used criteria for alcoholism. Methods: Male twin probands ascertained through alcohol and drug abuse treatment programs and their same-sex cotwins (54 monozygotic and 65 dizygotic pairs) were diagnosed independently by DSM-III (alcohol dependence and alcohol abuse and/or dependence), Feighner (probable and definite alcoholism), and Cloninger (type 1 and type 2 alcoholism) systems. Using univariate structural equation modeling, heritability was estimated for each diagnostic system. Results: The highest heritability estimates were obtained for Feighner probable alcoholism (h² = .63). Cloninger type 2 alcoholism (h² = .54), and DSM-III alcohol dependence (h² = .52). Conclusions: Certain diagnostic systems appear to have greater sensitivity for detecting genetic influence and may therefore be more appropriate for use in molecular genetic studies attempting to find genes for alcoholism.

Original language	English (US)
Pages (from-to)	139-145
Number of pages	7
Journal	Biological psychiatry
Volume	43
Issue number	2
DOIs	https://doi.org/10.1016/S0006-3223(97)00225-4
State	Published - Jan 15 1998

Keywords

Diagnostic systems of alcoholism
Environmental influences
Genetic influences
Male subjects
Threshold modeling
Treatment sample

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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title = "Genetic analysis of diagnostic systems of alcoholism in males",

abstract = "Background: Research into genes involved in alcoholism could benefit from use of diagnostic systems most sensitive to detecting genetic influences. In this study, heritable influences were estimated in a single twin sample with commonly used criteria for alcoholism. Methods: Male twin probands ascertained through alcohol and drug abuse treatment programs and their same-sex cotwins (54 monozygotic and 65 dizygotic pairs) were diagnosed independently by DSM-III (alcohol dependence and alcohol abuse and/or dependence), Feighner (probable and definite alcoholism), and Cloninger (type 1 and type 2 alcoholism) systems. Using univariate structural equation modeling, heritability was estimated for each diagnostic system. Results: The highest heritability estimates were obtained for Feighner probable alcoholism (h2 = .63). Cloninger type 2 alcoholism (h2 = .54), and DSM-III alcohol dependence (h2 = .52). Conclusions: Certain diagnostic systems appear to have greater sensitivity for detecting genetic influence and may therefore be more appropriate for use in molecular genetic studies attempting to find genes for alcoholism.",

keywords = "Diagnostic systems of alcoholism, Environmental influences, Genetic influences, Male subjects, Threshold modeling, Treatment sample",

author = "{Van Den Bree}, {Marianne B M} and Johnson, {Eric O.} and Neale, {Michael C.} and Svikis, {Dace S.} and Matt McGue and Pickens, {Roy W.}",

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doi = "10.1016/S0006-3223(97)00225-4",

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T1 - Genetic analysis of diagnostic systems of alcoholism in males

AU - Van Den Bree, Marianne B M

AU - Johnson, Eric O.

AU - Neale, Michael C.

AU - Svikis, Dace S.

AU - McGue, Matt

AU - Pickens, Roy W.

PY - 1998/1/15

Y1 - 1998/1/15

N2 - Background: Research into genes involved in alcoholism could benefit from use of diagnostic systems most sensitive to detecting genetic influences. In this study, heritable influences were estimated in a single twin sample with commonly used criteria for alcoholism. Methods: Male twin probands ascertained through alcohol and drug abuse treatment programs and their same-sex cotwins (54 monozygotic and 65 dizygotic pairs) were diagnosed independently by DSM-III (alcohol dependence and alcohol abuse and/or dependence), Feighner (probable and definite alcoholism), and Cloninger (type 1 and type 2 alcoholism) systems. Using univariate structural equation modeling, heritability was estimated for each diagnostic system. Results: The highest heritability estimates were obtained for Feighner probable alcoholism (h2 = .63). Cloninger type 2 alcoholism (h2 = .54), and DSM-III alcohol dependence (h2 = .52). Conclusions: Certain diagnostic systems appear to have greater sensitivity for detecting genetic influence and may therefore be more appropriate for use in molecular genetic studies attempting to find genes for alcoholism.

AB - Background: Research into genes involved in alcoholism could benefit from use of diagnostic systems most sensitive to detecting genetic influences. In this study, heritable influences were estimated in a single twin sample with commonly used criteria for alcoholism. Methods: Male twin probands ascertained through alcohol and drug abuse treatment programs and their same-sex cotwins (54 monozygotic and 65 dizygotic pairs) were diagnosed independently by DSM-III (alcohol dependence and alcohol abuse and/or dependence), Feighner (probable and definite alcoholism), and Cloninger (type 1 and type 2 alcoholism) systems. Using univariate structural equation modeling, heritability was estimated for each diagnostic system. Results: The highest heritability estimates were obtained for Feighner probable alcoholism (h2 = .63). Cloninger type 2 alcoholism (h2 = .54), and DSM-III alcohol dependence (h2 = .52). Conclusions: Certain diagnostic systems appear to have greater sensitivity for detecting genetic influence and may therefore be more appropriate for use in molecular genetic studies attempting to find genes for alcoholism.

KW - Diagnostic systems of alcoholism

KW - Environmental influences

KW - Genetic influences

KW - Male subjects

KW - Threshold modeling

KW - Treatment sample

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Genetic analysis of diagnostic systems of alcoholism in males

Abstract

Keywords

UN SDGs

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