Examining gene-environment interactions in comorbid depressive and disruptive behavior disorders using a Bayesian approach.

ABSTRACT:

Objective

The 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.

Method

Bayesian 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.

Results

One main effect, variants in the oxytocin receptor (OXTR, rs53576) was associated with increased risk for comorbid disorders. Two significant gene × environment and o

SUBMITTER: Adrian M 

PROVIDER: S-EPMC4522042 | biostudies-literature | 2015 Sep

REPOSITORIES: biostudies-literature