ArticleJournal of psychiatric research2015
Examining gene-environment interactions in comorbid depressive and disruptive behavior disorders using a Bayesian approach.
Article in Journal of psychiatric research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 23 citations in OpenAlex.
- The influence of CHRNA5 and D398N missense variation on social and emotional behaviors in rodents and humans.Translational psychiatry · 2025Article
- Moxie begets MOXI: The journey to a novel hypothesis about Mu-opioid and OXytocin system Interactions.Comprehensive psychoneuroendocrinology · 2024Review
- Subtypes of Depressed Youth Admitted for Inpatient Psychiatric Care: A Latent Profile Analysis.Research on child and adolescent psychopathology · 2024Article
- Intertwined associations between oxytocin, immune system and major depressive disorder.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2023Review
- Hunting for Genes Underlying Emotionality in the Laboratory Rat: Maps, Tools and Traps.Current neuropharmacology · 2023Review
- Associations of the A118G OPRM1 polymorphism with sociotropy and interpersonal sensitivity.Brain and behavior · 2022Article
- Little Evidence of Modified Genetic Effect of rs16969968 on Heavy Smoking Based on Age of Onset of Smoking.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021Article
- Article
- Four single nucleotide polymorphisms in genes involved in neuronal signaling are associated with Opioid Use Disorder in West Virginia.Journal of opioid managementArticle
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
objectiveThe objective of this study was to apply a Bayesian statistical analytic approach that minimizes multiple testing problems to explore the combined effects of chronic low familial support and variants in 12 candidate genes on risk for a common and debilitating childhood mental health condition.
methodBayesian mixture modeling was used to examine gene by environment interactions among genetic variants and environmental factors (family support) associated in previous studies with the occurrence of comorbid depression and disruptive behavior disorders youth, using a sample of 255 children.
resultsOne main effect, variants in the oxytocin receptor (OXTR, rs53576) was associated with increased risk for comorbid disorders. Two significant gene × environment and one signification gene × gene interactions emerged. Variants in the nicotinic acetylcholine receptor α5 subunit (CHRNA5, rs16969968) and in the glucocorticoid receptor chaperone protein FK506 binding protein 5 (FKBP5, rs4713902) interacted with chronic low family support in association with child mental health status. One gene × gene interaction, 5-HTTLPR variant of the serotonin transporter (SERT/SLC6A4) in combination with μ opioid receptor (OPRM1, rs1799971) was associated with comorbid depression and conduct problems.
conclusionsResults indicate that Bayesian modeling is a feasible strategy for conducting behavioral genetics research. This approach, combined with an optimized genetic selection strategy (Vrieze et al., 2012), revealed genetic variants involved in stress regulation (FKBP5, SERT × OPMR), social bonding (OXTR), and nicotine responsivity (CHRNA5) in predicting comorbid status.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.