Publications by authors named "J C Deak"
Objective: This study investigated the genetic and epigenetic mechanisms underlying the comorbidity patterns of five substance dependence diagnoses (SDs; alcohol, AD; cannabis, CaD; cocaine, CoD; opioid, OD; tobacco, TD).
Methods: A latent class analysis (LCA) was performed on 31,197 individuals (average age 42±11 years; 49% females) from six cohorts to identify comorbid DSM-IV SD patterns. In subsets of this sample, we tested SD-latent classes with respect to polygenic burden of psychiatric and behavioral traits and epigenome-wide changes in three population groups.
Article Synopsis
- A study found a strong link between antisocial personality disorder (ASPD) and various substance use disorders (SUD), specifically alcohol, cannabis, and tobacco use disorders.
- The association was particularly significant for the "hazardous use" criteria across all SUDs, suggesting that individuals with ASPD often engage in riskier substance use.
- Notably, ASPD was related to a lower likelihood of attempting to quit cocaine, indicating that those with ASPD may struggle more with cessation efforts for certain substances.
Article Synopsis
- Human genetic studies often lack diversity, which limits understanding of disease causes and health disparities.
- The Department of Veterans Affairs Million Veteran Program analyzed data from a diverse group of 635,969 veterans, revealing 13,672 genomic risk loci, with significant findings particularly from non-European populations.
- The research identified causal variants across 613 traits, showing that genetic similarities exist across populations and emphasizing the importance of including underrepresented groups in genetic research.
Cannabis use disorder (CanUD) has increased with the legalization of the use of cannabis. Around 20% of individuals using cannabis develop CanUD, and the number of users has grown with increasing ease of access. CanUD and other substance use disorders (SUDs) are associated phenotypically and genetically.
View Article and Find Full Text PDF