scholarly journals Dimensional phenotypes in psychiatric genetics: lessons from genome-wide association studies of alcohol use phenotypes

2021 ◽  
Author(s):  
Travis T. Mallard ◽  
Sandra Sanchez-Roige
Keyword(s):  
Alcohol Use ◽  
Association Studies ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Psychiatric Genetics ◽  
Genome Wide

scholarly journals Genome-wide association studies: a primer

2009 ◽  
Vol 40 (7) ◽  
pp. 1063-1077 ◽  
Author(s):  
A. Corvin ◽  
N. Craddock ◽  
P. F. Sullivan
Keyword(s):  
Genetic Variants ◽  
Association Studies ◽  
Human Diseases ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Psychiatric Genetics ◽  
Genome Wide ◽  
Common Genetic Variants ◽  
Gwas Approach

There have been nearly 400 genome-wide association studies (GWAS) published since 2005. The GWAS approach has been exceptionally successful in identifying common genetic variants that predispose to a variety of complex human diseases and biochemical and anthropometric traits. Although this approach is relatively new, there are many excellent reviews of different aspects of the GWAS method. Here, we provide a primer, an annotated overview of the GWAS method with particular reference to psychiatric genetics. We dissect the GWAS methodology into its components and provide a brief description with citations and links to reviews that cover the topic in detail.

scholarly journals Genetic Basis of Dual Diagnosis: A Review of Genome-Wide Association Studies (GWAS) Focusing on Patients with Mood or Anxiety Disorders and Co-Occurring Alcohol-Use Disorder

Diagnostics ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1055
Author(s):  
Kaloyan Stoychev ◽  
Dancho Dilkov ◽  
Elahe Naghavi ◽  
Zornitsa Kamburova
Keyword(s):  
Alcohol Use ◽  
Anxiety Disorders ◽  
Dual Diagnosis ◽  
Complex Traits ◽  
Association Studies ◽  
Genome Wide Association ◽  
Polygenic Risk Score ◽  
Genome Wide Association Studies ◽  
Mood And Anxiety Disorders ◽  
Genome Wide

(1) Background: Comorbidity between Alcohol Use Disorders (AUD), mood, and anxiety disorders represents a significant health burden, yet its neurobiological underpinnings are still elusive. The current paper reviews all genome-wide association studies conducted in the past ten years, sampling those on AUD and mood or anxiety disorders. (2) Methods: In keeping with PRISMA guidelines, we searched EMBASE, Medline/PUBMED, and PsycINFO databases (January 2010 to December 2020), including references of enrolled studies. Study selection was based on predefined criteria and data underwent a multistep revision process. (3) Results: 15 studies were included. Some of them explored dual diagnoses phenotypes directly while others employed correlational analysis based on polygenic risk score approach. Their results support the significant overlap of genetic factors involved in AUDs and mood and anxiety disorders. Comorbidity risk seems to be conveyed by genes engaged in neuronal development, connectivity, and signaling although the precise neuronal pathways and mechanisms remain unclear. (4) Conclusion: given that genes associated with complex traits including comorbid clinical presentations are of small effect, and individually responsible for a very low proportion of total variance, larger samples consisting of multiple refined comorbid combinations confirmed by re-sequencing approaches will be necessary to disentangle the genetic architecture of dual diagnosis.

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