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Specificity in genetic and environmental risk for prescription opioid misuse and heroin use

BACKGROUND: Many studies aggregate prescription opioid misuse (POM) and heroin use into a single phenotype, but emerging evidence suggests that their genetic and environmental influences may be partially distinct. METHODS: In total, 7164 individual twins (84.12% complete pairs; 59.81% female; mean a...

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Autores principales: Dash, Genevieve F., Gizer, Ian R., Martin, Nicholas G., Slutske, Wendy S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514228/
https://www.ncbi.nlm.nih.gov/pubmed/36946318
http://dx.doi.org/10.1017/S003329172300034X
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author Dash, Genevieve F.
Gizer, Ian R.
Martin, Nicholas G.
Slutske, Wendy S.
author_facet Dash, Genevieve F.
Gizer, Ian R.
Martin, Nicholas G.
Slutske, Wendy S.
author_sort Dash, Genevieve F.
collection PubMed
description BACKGROUND: Many studies aggregate prescription opioid misuse (POM) and heroin use into a single phenotype, but emerging evidence suggests that their genetic and environmental influences may be partially distinct. METHODS: In total, 7164 individual twins (84.12% complete pairs; 59.81% female; mean age = 30.58 years) from the Australian Twin Registry reported their lifetime misuse of prescription opioids, stimulants, and sedatives, and lifetime use of heroin, cannabis, cocaine/crack, illicit stimulants, hallucinogens, inhalants, solvents, and dissociatives via telephone interview. Independent pathway models (IPMs) and common pathway models (CPMs) partitioned the variance of drug use phenotypes into general and drug-specific genetic (a), common environmental (c), and unique environmental factors (e). RESULTS: An IPM with one general a and one general e factor and a one-factor CPM provided comparable fit to the data. General factors accounted for 55% (a = 14%, e = 41%) and 79% (a = 64%, e = 15%) of the respective variation in POM and heroin use in the IPM, and 25% (a = 12%, c = 8%, e = 5%) and 80% (a = 38%, c = 27%, e = 15%) of the respective variation in POM and heroin use in the CPM. Across both models, POM emerged with substantial drug-specific genetic influence (26–39% of total phenotypic variance; 69–74% of genetic variance); heroin use did not (0% of total phenotypic variance; 0% of genetic variance in both models). Prescription sedative misuse also demonstrated significant drug-specific genetic variance. CONCLUSIONS: Genetic variation in POM, but not heroin use, is predominantly drug-specific. Misuse of prescription medications that reduce experiences of subjective distress may be partially influenced by sources of genetic variation separate from illicit drug use.
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spelling pubmed-105142282023-10-27 Specificity in genetic and environmental risk for prescription opioid misuse and heroin use Dash, Genevieve F. Gizer, Ian R. Martin, Nicholas G. Slutske, Wendy S. Psychol Med Original Article BACKGROUND: Many studies aggregate prescription opioid misuse (POM) and heroin use into a single phenotype, but emerging evidence suggests that their genetic and environmental influences may be partially distinct. METHODS: In total, 7164 individual twins (84.12% complete pairs; 59.81% female; mean age = 30.58 years) from the Australian Twin Registry reported their lifetime misuse of prescription opioids, stimulants, and sedatives, and lifetime use of heroin, cannabis, cocaine/crack, illicit stimulants, hallucinogens, inhalants, solvents, and dissociatives via telephone interview. Independent pathway models (IPMs) and common pathway models (CPMs) partitioned the variance of drug use phenotypes into general and drug-specific genetic (a), common environmental (c), and unique environmental factors (e). RESULTS: An IPM with one general a and one general e factor and a one-factor CPM provided comparable fit to the data. General factors accounted for 55% (a = 14%, e = 41%) and 79% (a = 64%, e = 15%) of the respective variation in POM and heroin use in the IPM, and 25% (a = 12%, c = 8%, e = 5%) and 80% (a = 38%, c = 27%, e = 15%) of the respective variation in POM and heroin use in the CPM. Across both models, POM emerged with substantial drug-specific genetic influence (26–39% of total phenotypic variance; 69–74% of genetic variance); heroin use did not (0% of total phenotypic variance; 0% of genetic variance in both models). Prescription sedative misuse also demonstrated significant drug-specific genetic variance. CONCLUSIONS: Genetic variation in POM, but not heroin use, is predominantly drug-specific. Misuse of prescription medications that reduce experiences of subjective distress may be partially influenced by sources of genetic variation separate from illicit drug use. Cambridge University Press 2023-10 2023-03-22 /pmc/articles/PMC10514228/ /pubmed/36946318 http://dx.doi.org/10.1017/S003329172300034X Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
spellingShingle Original Article
Dash, Genevieve F.
Gizer, Ian R.
Martin, Nicholas G.
Slutske, Wendy S.
Specificity in genetic and environmental risk for prescription opioid misuse and heroin use
title Specificity in genetic and environmental risk for prescription opioid misuse and heroin use
title_full Specificity in genetic and environmental risk for prescription opioid misuse and heroin use
title_fullStr Specificity in genetic and environmental risk for prescription opioid misuse and heroin use
title_full_unstemmed Specificity in genetic and environmental risk for prescription opioid misuse and heroin use
title_short Specificity in genetic and environmental risk for prescription opioid misuse and heroin use
title_sort specificity in genetic and environmental risk for prescription opioid misuse and heroin use
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514228/
https://www.ncbi.nlm.nih.gov/pubmed/36946318
http://dx.doi.org/10.1017/S003329172300034X
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