Dataset Information


Genome-wide association study of comorbid depressive syndrome and alcohol dependence.

ABSTRACT: Depression and alcohol dependence (AD) are common psychiatric disorders that often co-occur. Both disorders are genetically influenced, with heritability estimates in the range of 35-60%. In addition, evidence from twin studies suggests that AD and depression are genetically correlated. Herein, we report results from a genome-wide association study of a comorbid phenotype, in which cases meet the Diagnostic and Statistical Manual of Mental Disorders-IV symptom threshold for major depressive symptomatology and the Diagnostic and Statistical Manual of Mental Disorders-IV criteria for AD.Samples (N=467 cases and N=407 controls) were of European-American descent and were genotyped using the Illumina Human 1M BeadChip array.Although no single-nucleotide polymorphism (SNP) meets genome-wide significance criteria, we identified 10 markers with P values less than 1 × 10(-5), seven of which are located in known genes, which have not been previously implicated in either disorder. Genes harboring SNPs yielding P values less than 1 × 10(-5) are functionally enriched for a number of gene ontology categories, notably several related to glutamatergic function. Investigation of expression localization using online resources suggests that these genes are expressed across a variety of tissues, including behaviorally relevant brain regions. Genes that have been previously associated with depression, AD, or other addiction-related phenotypes - such as CDH13, CSMD2, GRID1, and HTR1B - were implicated by nominally significant SNPs. Finally, the degree of overlap of significant SNPs between a comorbid phenotype and an AD-only phenotype is modest.These results underscore the complex genomic influences on psychiatric phenotypes and suggest that a comorbid phenotype is partially influenced by genetic variants that do not affect AD alone.


PROVIDER: S-EPMC3241912 | BioStudies | 2012-01-01

REPOSITORIES: biostudies

Similar Datasets

2020-01-01 | S-EPMC7283605 | BioStudies
2017-01-01 | S-EPMC5996973 | BioStudies
1000-01-01 | S-EPMC5855175 | BioStudies
2014-01-01 | S-EPMC4200764 | BioStudies
2016-01-01 | S-EPMC4792743 | BioStudies
1000-01-01 | S-EPMC5103798 | BioStudies
2005-01-01 | S-EPMC1285177 | BioStudies
2018-01-01 | S-EPMC5798265 | BioStudies
2016-01-01 | S-EPMC5437704 | BioStudies
2010-01-01 | S-EPMC2854106 | BioStudies