d.2 Data Analysis d.2.1 General Overview One advantage of the COGA mechanism is that It brings together a large group of investigators with diverse interests and expertise from ten different sites. This expert investigative team, coupled with the extensive phenotypic data generated on one of the largest high-risk samples in existence, makes it possible to address a wide range of important questions regarding mechanisms of how genetic and environmental factors translate into the eventual risk for alcohol use disorders. Accordingly, in the Data Analysis section, we present an overview of the different techniques we will utilize to study pathways of risk toward alcohol use disorders, including alcohol dependence. Consistent with Specific Aim #2, analysis of the development of alcohol use behaviors including dependence, other substance dependence, and psychopathology in adolescents and young adults will involve comprehensive, multivariate models of risk assessment that Incorporate clinical Information, genotypic and environmental factors. Taking advantage ofthe full COGA phenotypic information, outcomes will include categorical (e.g., presence/absence of alcohol dependence), quantitative (e.g., age onset of first drink, regular drinking, alcohol problems;number of alcohol symptoms), and survival-time (e.g., onset of alcohol dependence) measures. A major focus of analysis will be the impact of genetic variables (i.e., genotypes or haplotypes) on selected outcomes. Covariates can also include individual-level (e.g., comorbidity, personality traits) and family-level (e.g., parental psychopathology) measures. The analysis will address the methodological considerations that arise from longitudinal studies Including missing data, timeinvariant factors (e.g., sex, genotype), time-dependent factors (e.g., age, comorbid psychopathology), attrition, and clustered data, as discussed in more detail below. Analysis of the longitudinal data collected from the repeated assessments of the adolescents and young adults will permit investigation of numerous important aspects in the development of alcohol dependence including the point prevalence of psychopathology at different stages of development;the ages at onset of both symptoms and disorders;the developmental sequences and sequential patterns of symptomatology;the stability and continuity of alcohol and substance use and abuse/dependence across developmental stages;the predictive ability of events in childhood and adolescence on outcomes in young adulthood;and aggregate trends over time within and between individuals. Because COGA is a longitudinal study, it incorporates the strengths of cross-sectional, longitudinal, and accelerated longitudinal studies that allows for analyses to disentangle age, period, and cohort effects on the development of alcohol dependence and related phenotypes (Farrington, 1991;Willetetal., 1998).

Agency
National Institute of Health (NIH)
Institute
National Institute on Alcohol Abuse and Alcoholism (NIAAA)
Type
Cooperative Clinical Research--Cooperative Agreements (U10)
Project #
5U10AA008401-23
Application #
8320799
Study Section
Special Emphasis Panel (ZAA1)
Project Start
Project End
Budget Start
2011-09-01
Budget End
2012-08-31
Support Year
23
Fiscal Year
2011
Total Cost
$102,471
Indirect Cost
Name
Suny Downstate Medical Center
Department
Type
DUNS #
040796328
City
Brooklyn
State
NY
Country
United States
Zip Code
11203
Wetherill, Leah; Foroud, Tatiana; Goodlett, Charles (2018) Meta-Analyses of Externalizing Disorders: Genetics or Prenatal Alcohol Exposure? Alcohol Clin Exp Res 42:162-172
Dick, Danielle M (2018) Mapping Risk from Genes to Behavior: The Enduring and Evolving Influence of Irving Gottesman's Endophenotype Concept. Twin Res Hum Genet 21:306-309
Dick, Danielle M; Barr, Peter B; Cho, Seung Bin et al. (2018) Post-GWAS in Psychiatric Genetics: A Developmental Perspective on the ""Other"" Next Steps. Genes Brain Behav 17:e12447
Scarnati, Matthew S; Halikere, Apoorva; Pang, Zhiping P (2018) Using human stem cells as a model system to understand the neural mechanisms of alcohol use disorders: Current status and outlook. Alcohol :
Culverhouse, R C; Saccone, N L; Horton, A C et al. (2018) Collaborative meta-analysis finds no evidence of a strong interaction between stress and 5-HTTLPR genotype contributing to the development of depression. Mol Psychiatry 23:133-142
Prytkova, Iya; Goate, Alison; Hart, Ronald P et al. (2018) Genetics of Alcohol Use Disorder: A Role for Induced Pluripotent Stem Cells? Alcohol Clin Exp Res 42:1572-1590
Savage, Jeanne E; Salvatore, Jessica E; Aliev, Fazil et al. (2018) Polygenic Risk Score Prediction of Alcohol Dependence Symptoms Across Population-Based and Clinically Ascertained Samples. Alcohol Clin Exp Res 42:520-530
van der Vaart, Andrew; Meng, Xianfang; Bowers, M Scott et al. (2018) Glycogen synthase kinase 3 beta regulates ethanol consumption and is a risk factor for alcohol dependence. Neuropsychopharmacology 43:2521-2531
Agrawal, A; Chou, Y-L; Carey, C E et al. (2018) Genome-wide association study identifies a novel locus for cannabis dependence. Mol Psychiatry 23:1293-1302
McCutcheon, Vivia V; Agrawal, Arpana; Kuo, Sally I-Chun et al. (2018) Associations of parental alcohol use disorders and parental separation with offspring initiation of alcohol, cigarette and cannabis use and sexual debut in high-risk families. Addiction 113:336-345

Showing the most recent 10 out of 466 publications