Literature DB >> 27480873

A Bivariate Genetic Analysis of Drug Abuse Ascertained Through Medical and Criminal Registries in Swedish Twins, Siblings and Half-Siblings.

Hermine H Maes1,2,3,4, Michael C Neale5,6, Henrik Ohlsson7, Mahsa Zahery6, Paul Lichtenstein8, Kristina Sundquist7, Jan Sundquist7, Kenneth S Kendler5,6.   

Abstract

Using Swedish nationwide registry data, the authors investigated the correlation of genetic and environmental risk factors in the etiology of drug abuse as ascertained from medical and criminal registries by modeling twin and sibling data. Medical drug abuse was defined using public inpatient and outpatient records, while criminal drug abuse was ascertained through legal records. Twin, full and half sibling pairs were obtained from the national twin and genealogical registers. Information about sibling pair residence within the same household was obtained from Statistics Sweden. Standard bivariate genetic structural equation modeling was applied to the population-based data on drug abuse ascertained through medical and crime registries, using OpenMx. Analyses of all possible pairs of twins (MZ: N = 4482; DZ: N = 9838 pairs), full- (N = 1,278,086) and half-siblings (paternal: N = 7767; maternal N = 70,553) who grew up together suggested that factors explaining familial resemblance for drug abuse as defined through medical or criminal registries were mostly the same. Results showed substantial heritability and moderate contributions of shared environmental factors to drug abuse; both were higher in males versus females, and higher for drug abuse ascertained through criminal than medical records. Because of the low prevalence of both assessments of drug abuse, having access to population data was crucial to obtain stable estimates. Using objective registry data, the authors found that drug abuse-whether ascertained through medical versus criminal records-was highly heritable. Furthermore, shared environmental factors contributed significantly to the liability of drug abuse. Genetic and shared environmental risk factors for these two forms of drug abuse were highly correlated.

Entities:  

Keywords:  Drug abuse; Half-siblings; Siblings; Twins

Mesh:

Year:  2016        PMID: 27480873      PMCID: PMC5173346          DOI: 10.1007/s10519-016-9801-7

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


  16 in total

Review 1.  Mortality and morbidity attributable to use of addictive substances in the United States.

Authors:  J M McGinnis; W H Foege
Journal:  Proc Assoc Am Physicians       Date:  1999 Mar-Apr

Review 2.  Multivariate genetic analysis of sex limitation and G x E interaction.

Authors:  Michael C Neale; Espen Røysamb; Kristen Jacobson
Journal:  Twin Res Hum Genet       Date:  2006-08       Impact factor: 1.587

3.  Genetic influences on DSM-III-R drug abuse and dependence: a study of 3,372 twin pairs.

Authors:  M T Tsuang; M J Lyons; S A Eisen; J Goldberg; W True; N Lin; J M Meyer; R Toomey; S V Faraone; L Eaves
Journal:  Am J Med Genet       Date:  1996-09-20

4.  OpenMx 2.0: Extended Structural Equation and Statistical Modeling.

Authors:  Michael C Neale; Michael D Hunter; Joshua N Pritikin; Mahsa Zahery; Timothy R Brick; Robert M Kirkpatrick; Ryne Estabrook; Timothy C Bates; Hermine H Maes; Steven M Boker
Journal:  Psychometrika       Date:  2015-01-27       Impact factor: 2.500

5.  Genetic and family and community environmental effects on drug abuse in adolescence: a Swedish national twin and sibling study.

Authors:  Kenneth S Kendler; Hermine H Maes; Kristina Sundquist; Henrik Ohlsson; Jan Sundquist
Journal:  Am J Psychiatry       Date:  2014-02       Impact factor: 18.112

6.  Triparental families: a new genetic-epidemiological design applied to drug abuse, alcohol use disorders, and criminal behavior in a Swedish national sample.

Authors:  Kenneth S Kendler; Henrik Ohlsson; Jan Sundquist; Kristina Sundquist
Journal:  Am J Psychiatry       Date:  2015-02-20       Impact factor: 18.112

7.  OpenMx: An Open Source Extended Structural Equation Modeling Framework.

Authors:  Steven Boker; Michael Neale; Hermine Maes; Michael Wilde; Michael Spiegel; Timothy Brick; Jeffrey Spies; Ryne Estabrook; Sarah Kenny; Timothy Bates; Paras Mehta; John Fox
Journal:  Psychometrika       Date:  2011-04-01       Impact factor: 2.500

8.  Prevalence, correlates, disability, and comorbidity of DSM-IV drug abuse and dependence in the United States: results from the national epidemiologic survey on alcohol and related conditions.

Authors:  Wilson M Compton; Yonette F Thomas; Frederick S Stinson; Bridget F Grant
Journal:  Arch Gen Psychiatry       Date:  2007-05

9.  The association between parent early adult drug use disorder and later observed parenting practices and child behavior problems: testing alternate models.

Authors:  Jennifer A Bailey; Karl G Hill; Katarina Guttmannova; Sabrina Oesterle; J David Hawkins; Richard F Catalano; Robert J McMahon
Journal:  Dev Psychol       Date:  2012-07-16

10.  Moderating the covariance between family member's substance use behavior.

Authors:  Brad Verhulst; Lindon J Eaves; Michael C Neale
Journal:  Behav Genet       Date:  2014-03-20       Impact factor: 2.805

View more
  2 in total

1.  Modeling Etiology of Smoking During Pregnancy in Swedish Twins, Full-, and Half-Siblings, Reared Together and Apart.

Authors:  Hermine H Maes; Michael C Neale; Sara Larsson Lonn; Paul Lichtenstein; Jan Sundquist; Kristina Sundquist; Kenneth S Kendler
Journal:  Nicotine Tob Res       Date:  2020-10-08       Impact factor: 4.244

Review 2.  Social Learning and Addiction.

Authors:  Mark A Smith
Journal:  Behav Brain Res       Date:  2020-10-11       Impact factor: 3.332

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.