S91INTERVENTION EFFECTS MITIGATE THE ASSOCIATION BETWEEN POLYGENIC RISK FOR ALCOHOL USE AND INHIBITORY CONTROL IN MIDDLE CHILDHOOD

2019 ◽  
Vol 29 ◽  
pp. S160-S161
Author(s):  
Veronica Oro ◽  
Sierra Clifford ◽  
Daniel Shaw ◽  
Melvin Wilson ◽  
Kathryn Lemery-Chalfant
2018 ◽  
Vol 50 ◽  
pp. 16-26 ◽  
Author(s):  
Katherine J. Karriker-Jaffe ◽  
Sara L. Lönn ◽  
Won K. Cook ◽  
Kenneth S. Kendler ◽  
Kristina Sundquist

2019 ◽  
Vol 29 ◽  
pp. S11-S12
Author(s):  
Sandra Sanchez-Roige ◽  
Emma Johnson ◽  
Abraham Palmer ◽  
Arpana Agrawal ◽  
Toni Clarke ◽  
...  

2017 ◽  
Vol 78 (3) ◽  
pp. 442-451 ◽  
Author(s):  
James J. Li ◽  
Jeanne E. Savage ◽  
Kenneth S. Kendler ◽  
Matthew Hickman ◽  
Liam Mahedy ◽  
...  

2022 ◽  
Vol 23 (1) ◽  
Author(s):  
James J. Yang ◽  
Xi Luo ◽  
Elisa M. Trucco ◽  
Anne Buu

Abstract Background/aim The polygenic risk score (PRS) shows promise as a potentially effective approach to summarize genetic risk for complex diseases such as alcohol use disorder that is influenced by a combination of multiple variants, each of which has a very small effect. Yet, conventional PRS methods tend to over-adjust confounding factors in the discovery sample and thus have low power to predict the phenotype in the target sample. This study aims to address this important methodological issue. Methods This study proposed a new method to construct PRS by (1) approximating the polygenic model using a few principal components selected based on eigen-correlation in the discovery data; and (2) conducting principal component projection on the target data. Secondary data analysis was conducted on two large scale databases: the Study of Addiction: Genetics and Environment (SAGE; discovery data) and the National Longitudinal Study of Adolescent to Adult Health (Add Health; target data) to compare performance of the conventional and proposed methods. Result and conclusion The results show that the proposed method has higher prediction power and can handle participants from different ancestry backgrounds. We also provide practical recommendations for setting the linkage disequilibrium (LD) and p value thresholds.


2019 ◽  
Vol 34 (6) ◽  
pp. 886-886
Author(s):  
A Holt ◽  
A Hauson ◽  
P Ujj ◽  
K Reszegi ◽  
N Nemanim ◽  
...  

Abstract Objective Poor inhibitory control is a characteristic of Alcohol Use Disorder (AUD) that might be associated with worse treatment outcomes because of its contribution to the likelihood of relapse. One valid and efficient tool to examine inhibitory control is the Stroop Color-Word Interference Test (Stroop inhibition). The purpose of this meta-analysis was to examine the consistency of findings on the Stroop inhibition subtest and its relationship to length of use and duration of abstinence in AUD. Data Selection Three researchers independently searched nine databases (e.g., PsycINFO, Pubmed, ProceedingsFirst), extracted required data, and calculated effect sizes. Inclusion criteria identified studies that had (a) compared participants with AUD to healthy controls and (b) matched groups on either age, education, or IQ. Studies were excluded if participants were reported to have Axis I diagnoses (other than AUD) or comorbidities known to impact neuropsychological functioning. Twelve articles were coded and analyzed for the current study. Data Synthesis Studies comparing AUD to controls showed a medium statistically significant effect size (g = 0.355, p < 0.001) with no heterogeneity (I2 = 0). Length of use and duration of abstinence did not predict effect sizes. Conclusions The Stroop inhibition measure distinguishes between AUD participants and controls. Given the robustness of this finding, the lack of heterogeneity among studies, and the extensive past use of the Stroop to measure inhibitory control; this test should be considered when examining AUD patients. This is especially important when patients exhibit poor inhibition in daily functioning.


2018 ◽  
Vol 83 (9) ◽  
pp. S344
Author(s):  
Elizabeth Long ◽  
Jue-Sheng Ong ◽  
Liang-Dar Hwang ◽  
Jeanne E. Savage ◽  
Alexis Edwards ◽  
...  

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