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Importance: Major depressive disorder (MDD) and alcohol dependence (AD) are heritable disorders with significant public health burdens, and they are frequently comorbid. Common genetic factors that influence the co-occurrence of MDD and AD have been sought in family, twin, and adoption studies, and results to date have been promising but inconclusive., Objective: To examine whether AD and MDD overlap genetically, using a polygenic score approach., Design, Settings, and Participants: Association analyses were conducted between MDD polygenic risk score (PRS) and AD case-control status in European ancestry samples from 4 independent genome-wide association study (GWAS) data sets: the Collaborative Study on the Genetics of Alcoholism (COGA); the Study of Addiction, Genetics, and Environment (SAGE); the Yale-Penn genetic study of substance dependence; and the National Health and Resilience in Veterans Study (NHRVS). Results from a meta-analysis of MDD (9240 patients with MDD and 9519 controls) from the Psychiatric Genomics Consortium were applied to calculate PRS at thresholds from P < .05 to P ≤ .99 in each AD GWAS data set., Main Outcomes and Measures: Association between MDD PRS and AD., Results: Participants analyzed included 788 cases (548 [69.5%] men; mean [SD] age, 38.2 [10.8] years) and 522 controls (151 [28.9.%] men; age [SD], 43.9 [11.6] years) from COGA; 631 cases (333 [52.8%] men; age [SD], 35.0 [7.7] years) and 756 controls (260 [34.4%] male; age [SD] 36.1 [7.7] years) from SAGE; 2135 cases (1375 [64.4%] men; age [SD], 39.4 [11.5] years) and 350 controls (126 [36.0%] men; age [SD], 43.5 [13.9] years) from Yale-Penn; and 317 cases (295 [93.1%] men; age [SD], 59.1 [13.1] years) and 1719 controls (1545 [89.9%] men; age [SD], 64.5 [13.3] years) from NHRVS. Higher MDD PRS was associated with a significantly increased risk of AD in all samples (COGA: best P = 1.7 × 10-6, R2 = 0.026; SAGE: best P = .001, R2 = 0.01; Yale-Penn: best P = .035, R2 = 0.0018; and NHRVS: best P = .004, R2 = 0.0074), with stronger evidence for association after meta-analysis of the 4 samples (best P = 3.3 × 10-9). In analyses adjusted for MDD status in 3 AD GWAS data sets, similar patterns of association were observed (COGA: best P = 7.6 × 10-6, R2 = 0.023; Yale-Penn: best P = .08, R2 = 0.0013; and NHRVS: best P = .006, R2 = 0.0072). After recalculating MDD PRS using MDD GWAS data sets without comorbid MDD-AD cases, significant evidence was observed for an association between the MDD PRS and AD in the meta-analysis of 3 GWAS AD samples without MDD cases (best P = .007)., Conclusions and Relevance: These results suggest that shared genetic susceptibility contributes modestly to MDD and AD comorbidity. Individuals with elevated polygenic risk for MDD may also be at risk for AD.

Aims: To demonstrate how Q-learning, a novel data analysis method, can be used with data from a sequential, multiple assignment, randomized trial (SMART) to construct empirically an adaptive treatment strategy (ATS) that is more tailored than the ATSs already embedded in a SMART., Method: We use Q-learning with data from the Extending Treatment Effectiveness of Naltrexone (ExTENd) SMART (N = 250) to construct empirically an ATS employing naltrexone, behavioral intervention, and telephone disease management to reduce alcohol consumption over 24 weeks in alcohol dependent individuals., Results: Q-learning helped to identify a subset of individuals who, despite showing early signs of response to naltrexone, require additional treatment to maintain progress., Conclusions: Q-learning can inform the development of more cost-effective, adaptive treatment strategies for treating substance use disorders., (© 2016 Society for the Study of Addiction.)

Aims: The role of craving for alcohol as a response to alcohol treatment is not well understood. We examined daily diary ratings of craving over the course of 28 days among individuals participating in an inpatient substance abuse treatment program., Methods: Participants were alcohol dependent patients (n = 100) in the Hazelden residential treatment program who were offered and agreed to take naltrexone and an age- and gender-matched comparison group (n = 100) of alcohol-dependent patients in the same program who declined the offer of treatment with naltrexone. Changes in craving over time were compared between the two groups., Results: The naltrexone-treated group reported a more rapid decrease in craving than the usual care group., Conclusions: The change in the trajectory of craving is consistent with prior reports suggesting that craving reduction is a mechanism of naltrexone's efficacy in treating alcohol dependence. Providing naltrexone to individuals seeking treatment for alcohol dependence may accelerate a reduction in their craving, consistent with a primary target of many addiction treatment programs., Short Summary: Craving ratings by 100 residential patients taking naltrexone for alcohol dependence were compared to ratings by 100 patients who did not take naltrexone. Craving for alcohol decreased more rapidly in the patients taking naltrexone. Providing naltrexone to individuals seeking treatment for alcohol dependence may accelerate a reduction in craving, which may benefit treatment efforts., (© The Author 2016. Medical Council on Alcohol and Oxford University Press. All rights reserved.)