Genome-Wide Association Studies of Alcohol Dependence and Substance Use Disorders

2011 ◽  
Vol 13 (2) ◽  
pp. 147-155 ◽  
Author(s):  
Jens Treutlein ◽  
Marcella Rietschel
2016 ◽  
Vol 21 (6) ◽  
pp. 733-735 ◽  
Author(s):  
M G Nivard ◽  
◽  
K J H Verweij ◽  
C C Minică ◽  
J L Treur ◽  
...  

2018 ◽  
Author(s):  
Kristin M. Mignogna ◽  
Silviu A. Bacanu ◽  
Brien P. Riley ◽  
Aaron R. Wolen ◽  
Michael F. Miles

AbstractGenome-wide association studies on alcohol dependence, by themselves, have yet to account for the estimated heritability of the disorder and provide incomplete mechanistic understanding of this complex trait. Integrating brain ethanol-responsive gene expression networks from model organisms with human genetic data on alcohol dependence could aid in identifying dependence-associated genes and functional networks in which they are involved. This study used a modification of the Edge-Weighted Dense Module Searching for genome-wide association studies (EW-dmGWAS) approach to co-analyze whole-genome gene expression data from ethanol-exposed mouse brain tissue, human protein-protein interaction databases and alcohol dependence-related genome-wide association studies. Results revealed novel ethanol-regulated and alcohol dependence-associated gene networks in prefrontal cortex, nucleus accumbens, and ventral tegmental area. Three of these networks were overrepresented with genome-wide association signals from an independent dataset. These networks were significantly overrepresented for gene ontology categories involving several mechanisms, including actin filament-based activity, transcript regulation, Wnt and Syndecan-mediated signaling, and ubiquitination. Together, these studies provide novel insight for brain mechanisms contributing to alcohol dependence.


2020 ◽  
Vol 26 (1) ◽  
Author(s):  
Melissa A. Munn‐Chernoff ◽  
Emma C. Johnson ◽  
Yi‐Ling Chou ◽  
Jonathan R.I. Coleman ◽  
Laura M. Thornton ◽  
...  

2011 ◽  
Vol 45 (11) ◽  
pp. 1419-1425 ◽  
Author(s):  
Ke-Sheng Wang ◽  
Xuefeng Liu ◽  
Qunyuan Zhang ◽  
Yue Pan ◽  
Nagesh Aragam ◽  
...  

Biomedicines ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1799
Author(s):  
Danilo Cozzoli ◽  
Alessia Daponte ◽  
Salvatore De Fazio ◽  
Vincenza Ariano ◽  
Maria Rita Quaranta ◽  
...  

Drug addiction, or substance use disorder (SUD), is a chronic, relapsing disorder in which compulsive drug-seeking and drug-taking behaviour persist despite serious negative consequences. Drug abuse represents a problem that deserves great attention from a social point of view, and focuses on the importance of genetic studies to help in understanding the genetic basis of addiction and its medical treatment. Despite the complexity of drug addiction disorders, and the high number of environmental variables playing a role in the onset, recurrence, and duration of the symptoms, several studies have highlighted the non-negligible role of genetics, as demonstrated by heritability and genome-wide association studies. A correlation between the relative risk of addiction to specific substances and heritability has been recently observed, suggesting that neurobiological mechanisms may be, at least in part, inherited. All these observations point towards a scenario where the core neurobiological factors of addiction, involving the reward system, impulsivity, compulsivity, stress, and anxiety response, are transmitted, and therefore, genes and mutations underlying their variation might be detected. In the last few years, the development of new and more efficient sequencing technologies has paved the way for large-scale studies in searching for genetic and epigenetic factors affecting drug addiction disorders and their treatments. These studies have been crucial to pinpoint single nucleotide polymorphisms (SNPs) in genes that affect the reaction to medical treatments. This is critically important to identify pharmacogenomic approaches for substance use disorder, such as OPRM1 SNPs and methadone required doses for maintenance treatment (MMT). Nevertheless, despite the promising results obtained by genome-wide association and pharmacogenomic studies, specific studies related to population genetics diversity are lacking, undermining the overall applicability of the preliminary findings, and thus potentially affecting the portability and the accuracy of the genetic studies. In this review, focusing on cannabis, cocaine and heroin use, we report the state-of-the-art genomics and pharmacogenomics of SUDs, and the possible future perspectives related to medical treatment response in people that ask for assistance in solving drug-related problems.


Author(s):  
Dongbing Lai ◽  
Leah Wetherill ◽  
Sarah Bertelsen ◽  
Caitlin E. Carey ◽  
Chella Kamarajan ◽  
...  

2021 ◽  
pp. 1-12
Author(s):  
Joseph D. Deak ◽  
Emma C. Johnson

Abstract Substance use disorders (SUDs) are prevalent and result in an array of negative consequences. They are influenced by genetic factors (h2 = ~50%). Recent years have brought substantial progress in our understanding of the genetic etiology of SUDs and related traits. The present review covers the current state of the field for SUD genetics, including the epidemiology and genetic epidemiology of SUDs, findings from the first-generation of SUD genome-wide association studies (GWAS), cautions about translating GWAS findings to clinical settings, and suggested prioritizations for the next wave of SUD genetics efforts. Recent advances in SUD genetics have been facilitated by the assembly of large GWAS samples, and the development of state-of-the-art methods modeling the aggregate effect of genome-wide variation. These advances have confirmed that SUDs are highly polygenic with many variants across the genome conferring risk, the vast majority of which are of small effect. Downstream analyses have enabled finer resolution of the genetic architecture of SUDs and revealed insights into their genetic relationship with other psychiatric disorders. Recent efforts have also prioritized a closer examination of GWAS findings that have suggested non-uniform genetic influences across measures of substance use (e.g. consumption) and problematic use (e.g. SUD). Additional highlights from recent SUD GWAS include the robust confirmation of loci in alcohol metabolizing genes (e.g. ADH1B and ALDH2) affecting alcohol-related traits, and loci within the CHRNA5-CHRNA3-CHRNB4 gene cluster influencing nicotine-related traits. Similar successes are expected for cannabis, opioid, and cocaine use disorders as sample sizes approach those assembled for alcohol and nicotine.


2016 ◽  
Vol 21 (8) ◽  
pp. 1155-1156 ◽  
Author(s):  
M G Nivard ◽  
◽  
K J H Verweij ◽  
C C Minică ◽  
J L Treur ◽  
...  

2020 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Wenqianglong Li ◽  
Johan Hilge Thygesen ◽  
Niamh Louise O’Brien ◽  
Mathis Heydtmann ◽  
Iain Smith ◽  
...  

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