Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

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

Maes, Hermine H. LU ; Neale, Michael C. ; Ohlsson, Henrik LU ; Zahery, Mahsa ; Lichtenstein, Paul ; Sundquist, Kristina LU ; Sundquist, Jan LU and Kendler, Kenneth S. (2016) In Behavior Genetics 46(6). p.735-741
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,... (More)

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.

(Less)
Please use this url to cite or link to this publication:
author
; ; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Drug abuse, Half-siblings, Siblings, Twins
in
Behavior Genetics
volume
46
issue
6
pages
7 pages
publisher
Springer
external identifiers
  • pmid:27480873
  • wos:000386706600001
  • scopus:84982811771
ISSN
0001-8244
DOI
10.1007/s10519-016-9801-7
language
English
LU publication?
yes
id
b8599840-a289-4609-ab46-6eb28db57b26
date added to LUP
2016-09-20 17:04:49
date last changed
2024-01-04 12:43:24
@article{b8599840-a289-4609-ab46-6eb28db57b26,
  abstract     = {{<p>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.</p>}},
  author       = {{Maes, Hermine H. and Neale, Michael C. and Ohlsson, Henrik and Zahery, Mahsa and Lichtenstein, Paul and Sundquist, Kristina and Sundquist, Jan and Kendler, Kenneth S.}},
  issn         = {{0001-8244}},
  keywords     = {{Drug abuse; Half-siblings; Siblings; Twins}},
  language     = {{eng}},
  month        = {{08}},
  number       = {{6}},
  pages        = {{735--741}},
  publisher    = {{Springer}},
  series       = {{Behavior Genetics}},
  title        = {{A Bivariate Genetic Analysis of Drug Abuse Ascertained Through Medical and Criminal Registries in Swedish Twins, Siblings and Half-Siblings}},
  url          = {{http://dx.doi.org/10.1007/s10519-016-9801-7}},
  doi          = {{10.1007/s10519-016-9801-7}},
  volume       = {{46}},
  year         = {{2016}},
}