Publications by authors named "Chelsie E Benca-Bachman"

Article Synopsis
  • Twin studies suggest that genetic factors account for 30-40% of the risk for depression, highlighting the role of heredity in this mental health condition.
  • Researchers evaluated polygenic scores (PGS) derived from UK Biobank data on a group of 210 adults of European ancestry to see how well these scores predict clinical depression-related traits.
  • Although some small associations were observed between the PGS and various depression traits, only the link to suicidal ideation remained significant after adjusting for multiple comparisons, suggesting that the current PGS is only modestly predictive of depression-related outcomes.
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Though most genetic studies of substance use focus on specific substances in isolation or generalized vulnerability across multiple substances, few studies to date focus on the concurrent use of two or more substances within a specified time frame (i.e., polysubstance use; PSU).

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Alcohol withdrawal (AW) is a feature of alcohol use disorder that may occur in up to half of individuals with chronic, heavy alcohol consumption whenever alcohol use is abruptly stopped or significantly reduced. To date, few genes have been robustly associated with AW; this may be partly due to most studies defining AW as a binary construct despite the multiple symptoms and their range in severity from mild to severe. The current study examined the effects of genome-wide loci on a factor score for AW in high risk and community family samples in the Collaborative Study for the Genetics of Alcoholism (COGA).

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Genetic mechanisms of alternative mRNA splicing have been shown in the brain for a variety of neuropsychiatric traits, but not substance use disorders. Our study utilized RNA-sequencing data on alcohol use disorder (AUD) in four brain regions (n = 56; ages 40-73; 100% 'Caucasian'; PFC, NAc, BLA and CEA) and genome-wide association data on AUD (n = 435,563, ages 22-90; 100% European-American). Polygenic scores of AUD were associated with AUD-related alternative mRNA splicing in the brain.

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Article Synopsis
  • Deficits in executive functions (EFs) can lead to mental health issues and neurological disorders, yet the molecular underpinnings of EFs remain poorly understood.
  • This study conducted a large genome-wide association analysis using data from nearly 427,000 individuals to explore the genetic factors influencing a common executive function score.
  • The findings revealed 129 significant genetic variants linked to cognitive functions, suggesting that while executive functions are related to intelligence and cognitive speed, they uniquely correlate with psychiatric conditions.
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Introduction: Heritability estimates of nicotine dependence (ND) range from 40% to 70%, but discovery GWAS of ND are underpowered and have limited predictive utility. In this work, we leverage genetically correlated traits and diseases to increase the accuracy of polygenic risk prediction.

Methods: We employed a multi-trait model using summary statistic-based best linear unbiased predictors (SBLUP) of genetic correlates of DSM-IV diagnosis of ND in 6394 individuals of European Ancestry (prevalence = 45.

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The National Institute on Drug Abuse and Joint Institute for Biological Sciences at the Oak Ridge National Laboratory hosted a meeting attended by a diverse group of scientists with expertise in substance use disorders (SUDs), computational biology, and FAIR (Findability, Accessibility, Interoperability, and Reusability) data sharing. The meeting's objective was to discuss and evaluate better strategies to integrate genetic, epigenetic, and 'omics data across human and model organisms to achieve deeper mechanistic insight into SUDs. Specific topics were to (a) evaluate the current state of substance use genetics and genomics research and fundamental gaps, (b) identify opportunities and challenges of integration and sharing across species and data types, (c) identify current tools and resources for integration of genetic, epigenetic, and phenotypic data, (d) discuss steps and impediment related to data integration, and (e) outline future steps to support more effective collaboration-particularly between animal model research communities and human genetics and clinical research teams.

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Objective: Examine neuroticism's impact on the relationship between depressive symptoms and sleep quality during the college transition.

Participants: First-year students (N = 302) from a southeastern university in the USA.

Methods: A longitudinal cross-lagged panel model assessed direct and indirect effects between self-reported sleep and depressed mood.

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Background And Aims: Cannabis use (CU) is an etiologically complex behavior with several social, temperamental, neurocognitive, and behavioral precursors. Biometrical and molecular studies suggest an interplay of environmental and pleiotropic influences. However, it remains unclear whether identified genetic effects related to behavioral and temperamental characteristics have developmentally direct or indirect mechanisms on CU behavior.

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African Americans have elevated substance use-related problems during adulthood despite initiating use later than individuals of other racial/ethnic backgrounds. The present study first validated the structure of the UPPS-P Impulsive Behavior Scale and then examined impulsivity as a prospective risk factor for future alcohol, cannabis, and tobacco use, as well as generalized substance problems, in African American men. Data were drawn from the African-American Men's Project, which recruited participants (N = 504; Mean age = 20.

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Cross-species translational approaches to human genomic analyses are lacking. The present study uses an integrative framework to investigate how genes associated with nicotine use in model organisms contribute to the genetic architecture of human tobacco consumption. First, we created a model organism geneset by collecting results from five animal models of nicotine exposure (RNA expression changes in brain) and then tested the relevance of these genes and flanking genetic variation using genetic data from human cigarettes per day (UK BioBank N = 123,844; all European Ancestry).

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Introduction: Excessive alcohol use amongst college students is associated with low grades, poor mental health, and risks to physical safety. Neuroticism, characterized by emotional instability and anxiety, and self-reported stress have both been shown to be strong predictors of alcohol use and misuse, however, previous studies have shown that measures of stress and Neuroticism are frequently confounded. This study tests the hypothesis that personality traits, and Neuroticism in particular, predict alcohol use/misuse in matriculating freshmen above and beyond reported levels of stress.

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Background: Studies suggest a broad spectrum of behaviors associated with drinking. Consequently, it is unclear whether patterns of familial risk for psychopathology are directly or indirectly related to patterns of alcohol use and problems in late adolescence or mediated by behavioral characteristics, such as temperament, mood.

Objectives: We examined direct and indirect effects of perceived family history of psychopathology on pre-collegiate alcohol use and problems via the Transmissible Liability Index (TLI).

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Unlabelled: Social support (SS) is typically associated with lower emotional distress (e.g., stress and depression) in individuals.

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Objectives: The current study explored whether social support (SS) from family and peers, influences the relationship between depressed mood (DM) and substance use (SU). We hypothesized that SS would have a protective effect on DM, and moderate the association between DM and SU.

Participants And Methods: Analyses focused on 703 individuals from the Carolina African American Twin Study on Aging (mean age = 49.

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Theoretical models of attention-deficit/hyperactivity disorder implicate neurocognitive dysfunction, yet neurocognitive functioning covers a range of abilities that may not all be linked with inattention. This study (a) investigated the single nucleotide polymorphism (SNP) heritability (h2SNP) of inattention and aspects of neurocognitive efficiency (memory, social cognition, executive function, and complex cognition) based on additive genome-wide effects; (b) examined if there were shared genetic effects among inattention and each aspect of neurocognitive efficiency; and (c) conducted an exploratory genome-wide association study to identify genetic regions associated with inattention. The sample included 3,563 participants of the Philadelphia Neurodevelopmental Cohort, a general population sample aged 8-21 years who completed the Penn Neurocognitive Battery.

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Article Synopsis
  • - The National Institute on Drug Abuse held a conference in June 2018 at UC San Diego, gathering researchers and healthcare professionals to explore how genetics influences substance use disorders across species.
  • - Key discussions included harmonizing genetics data from large opioid studies, analyzing human and animal phenotypes, and identifying gaps and synergies in the current research.
  • - The event featured panels on topics like translating genetic findings, interpreting genetic variations, and comparing genetic pathways in animals and humans, along with updates from major research consortia on genome-wide studies.
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