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Integrating genetic and ecological momentary assessment technologies to advance models of PTSD-AUD comorbidity

整合遗传和生态瞬时评估技术来推进 PTSD-AUD 共病模型

基本信息

批准号：
10735391
负责人：
ANANDA B AMSTADTER
金额：
$ 72.67万
依托单位：
VIRGINIA COMMONWEALTH UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2023
资助国家：
美国
起止时间：
2023-09-01 至 2028-08-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10735391
关键词：
Accounting Acute Address Affect Alcohol Phenotype Alcohol consumption Area Black Populations COVID-19 pandemic Clinical Consumption Data Development Diagnostic Disease Disparity Dropout Ecological momentary assessment Economics Enrollment Equation Equity Etiology Financial Hardship Genetic Genetic Research Genetic Risk Genetic study Genomics Goals Health Heritability Individual Intervention Interview Investigation Knowledge Lead Light Measurement Measures Mental Health Methodology Methods Modeling Molecular Genetics Participant Pathway interactions Patient Recruitments Patient Self-Report Persons Phenotype Population Populations at Risk Post-Traumatic Stress Disorders Predisposition Prevalence Prevention Prevention program Prognosis Protocols documentation Public Health Recording of previous events Reduce health disparities Research Resources Risk Risk Behaviors Risk Factors Sampling Self Medication Series Severities Social support Specificity Symptoms Technology Assessment Testing Time Trauma Underrepresented Populations Urban Community Urban Population Variant Woman Work alcohol risk alcohol use disorder binge drinking comorbidity craving design disparity gap follow up assessment follow-up genome wide association study genome-wide analysis high risk indexing inner city knowledge base longitudinal design low socioeconomic status men novel pandemic disease people of color polygenic risk score prospective protective factors racial discrimination racial minority racial minority population relapse risk risk sharing saliva sample sex social social health determinants trauma exposure treatment program

项目摘要

Project Summary Alcohol use disorder (AUD) and posttraumatic stress disorder (PTSD) commonly co-occur, and this comorbidity is associated with higher consumption, treatment dropout, and risk for relapse. Urban populations of low socioeconomic status are particularly at risk for AUD and PTSD. Research on the etiology of co-occurring AUD and PTSD is needed in these understudied and low resourced populations to help address a disparity in the knowledge base. Directional models of comorbidity exist, self-medication and susceptibility, although there are major gaps (e.g., few studies testing direction of causation and or bidirectionality effects, lack of specificity of assessment, lack of test of sex effects). Additionally, comorbidity could be influenced by genetic risk as both AUD and PTSD are moderately heritable, overlap in latent genetic risk, and are genetically correlated in large genome wide association studies (GWAS; rG=0.35). Black persons are underrepresented in genetics research, and thus, genetically informed studies in this population are critically needed for equity in knowledge gained in this area. The current multi-method study will fill these gaps by conducting a genetically informative ecological momentary assessment (EMA) study using a longitudinal measurement burst design. Participants recruited through the Grady Trauma Project (GTP), which consists of high-risk inner-city residents. We will enroll a sample of 400 individuals and they will be asked to provide: clinical interview diagnostic data on PTSD, AUD, and comorbidities, detailed self-report measures including trauma history, social determinants of health, other risk and protective factors, and a saliva sample for GWAS. The EMA protocol will capture the temporal relations between PTSD and alcohol use phenotypes (e.g., consumption, binge, AUD symptoms, craving) and clarify not only who is at risk, but when the risk behaviors occur. Analyses will simultaneously test all three models of comorbidity (i.e., self-medication, susceptibility, shared risk) and will test for sex specific pathways. Following this initial period of EMA, a measurement burst design consisting of three EMA bursts, each spaced two months apart, will occur to examine the impact of time varying social determinants of health (e.g., new trauma, financial stress, racial discrimination) on the functional relationships found in the first aim. Lastly, the exploratory aim will conduct genome wide analyses with a focus on a novel multivariate genetic method, genomic Structural Equation Modeling (gSEM), which will be used to produce polygenetic risk scores (PRS) that index genetic risk for comorbidity of PTSD and AUD, and unique risk for each condition. PRS indexing shared risk between AUD- PTSD, unique to AUD, and unique to PTSD, will be incorporated into the best fitting models from the EMA analyses to determine if the phenotypic relations found are influenced by genetic risk. This study will advance our understanding of risk underlying co-occurring AUD and PTSD, which is imperative to the development of effective prevention and treatment programs, particularly among racially minoritized inner-city residents who are at increased risk for trauma exposure and subsequent AUD and PTSD.

项目总结