Partitioning the Genomic Components of Behavioral Disinhibition and Substance Use (Disorder) Using Genomic Structural Equation Modeling.
Behavioral genetics
Externalizing
Genomic SEM
Substance use
Journal
Behavior genetics
ISSN: 1573-3297
Titre abrégé: Behav Genet
Pays: United States
ID NLM: 0251711
Informations de publication
Date de publication:
09 Jul 2024
09 Jul 2024
Historique:
received:
14
02
2024
accepted:
02
06
2024
medline:
10
7
2024
pubmed:
10
7
2024
entrez:
9
7
2024
Statut:
aheadofprint
Résumé
Externalizing behaviors encompass manifestations of risk-taking, self-regulation, aggression, sensation-/reward-seeking, and impulsivity. Externalizing research often includes substance use (SUB), substance use disorder (SUD), and other (non-SUB/SUD) "behavioral disinhibition" (BD) traits. Genome-wide and twin research have pointed to overlapping genetic architecture within and across SUB, SUD, and BD. We created single-factor measurement models-each describing SUB, SUD, or BD traits-based on mutually exclusive sets of European ancestry genome-wide association study (GWAS) statistics exploring externalizing variables. We then assessed the partitioning of genetic covariance among the three facets using correlated factors models and Cholesky decomposition. Even when the residuals for indicators relating to the same substance were correlated across the SUB and SUD factors, the two factors yielded a large correlation (r
Identifiants
pubmed: 38981971
doi: 10.1007/s10519-024-10188-9
pii: 10.1007/s10519-024-10188-9
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : NIDA NIH HHS
ID : T32 DA017637
Pays : United States
Organisme : NIDA NIH HHS
ID : T32 DA017637
Pays : United States
Organisme : NIDA NIH HHS
ID : R01 DA053693
Pays : United States
Organisme : NIDA NIH HHS
ID : R01 DA053693
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH120219
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH120219
Pays : United States
Organisme : National Institute of Aging
ID : RF1 MH120219
Informations de copyright
© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
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