A commonly carried genetic variant in the delta opioid receptor gene, OPRD1, is associated with smaller regional brain volumes: Replication in elderly and young populations
Year: 2013
Type: article
Study design: Observational Study
Abstract: Delta opioid receptors are implicated in a variety of psychiatric and neurological disorders. These receptors play a key role in the reinforcing properties of drugs of abuse, and polymorphisms in OPRD1 (the gene encoding delta opioid receptors) are associated with drug addiction. Delta opioid receptors are also involved in protecting neurons against hypoxic and ischemic stress. Here, we first examined a large sample of 738 elderly participants with neuroimaging and genetic data from the Alzheimer's Disease Neuroimaging Initiative. We hypothesized that common variants in OPRD1 would be associated with differences in brain structure, particularly in regions relevant to addictive and neurodegenerative disorders. One very common variant (rs678849) predicted differences in regional brain volumes. We replicated the association of this single-nucleotide polymorphism with regional tissue volumes in a large sample of young participants in the Queensland Twin Imaging study. Although the same allele was associated with reduced volumes in both cohorts, the brain regions affected differed between the two samples. In healthy elderly, exploratory analyses suggested that the genotype associated with reduced brain volumes in both cohorts may also predict cerebrospinal fluid levels of neurodegenerative biomarkers, but this requires confirmation. If opiate receptor genetic variants are related to individual differences in brain structure, genotyping of these variants may be helpful when designing clinical trials targeting delta opioid receptors to treat neurological disorders.
Source: Human Brain Mapping
DOI: 10.1002/hbm.22247
Authors: Florence F. Roussotte, Neda Jahanshad, Derrek P. Hibar, Elizabeth R. Sowell, Omid Kohannim, Marina Barysheva, Narelle K. Hansell, Katie L. McMahon, Greig I. de Zubicaray, Grant W. Montgomery, Nicholas G. Martin, Margaret J. Wright, Arthur W. Toga, Clifford R. Jack, Michael W. Weiner, Paul M. Thompson, the ADNI
Language: English
Subfield: Cellular and Molecular Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
Awards: G104586243, Assessment of Gene Effects on the Brain and Disease Risk through Machine Learning, UC Davis Alzheimer's Disease Core Center, Genetic influences on the brain: A twin imaging study, "MR Morphometrics and Cognitive Decline Rate in Large-Scale Aging Studies", Alzheimer's disease risk analyzed using population imaging genomics, Empowering Personalized Medicine: Integrating Imaging, Genetics, and Biomarkers, Alzheimer's Disease Neuroimaging Initiative, Alzheimer's Disease Cooperative Study, National Centralized Repository for Alzheimer's Disease and Related Dementias (NCRAD)
OpenAlex ID: W2164525238
