Psychiatric Genetics · 2015 · 28 citations · 43 references
Life SciencesGeneticsPsychiatryDevelopmental PsychopathologyMedical GeneticsNeurogeneticsBipolar DisordersNeuropsychiatric GeneticsPsychiatric EpidemiologyPsychiatric GeneticsStress Response GeneticsBipolar Disorder GeneticsChildhood Bipolar DisorderEarly Childhood MaltreatmentHpa Axis ActivityLogistic RegressionRisk Factors For SuicidalitySingle-nucleotide PolymorphismsSuicidal Risk
OBJECTIVE: Genes and the environment both play a major role in the risk for attempted suicide, and environments harboring stressors, such as early childhood abuse, have been linked to suicidal behavior. Such environments also disrupt the hypothalamic-pituitary-adrenal (HPA) axis pathway, which has been hypothesized to play a role in suicidal behavior. We investigated whether the risk for attempted suicide was attributable in part to the interaction between childhood physical and/or sexual abuse and genetic variation in 19 genes (±5 kb) integral to the HPA axis pathway. MATERIALS AND METHODS: Using the Genetic Association Information Network Bipolar Disorder and Translational Genomics Research Institute cohorts, we implemented PLINK's logistic regression-based 'interaction' approach to search for evidence of an interaction between 235 genotyped HPA axis single-nucleotide polymorphisms and early childhood abuse. Our study included 631 bipolar disorder suicide attempters and 657 bipolar disorder nonattempters with information on abuse. RESULTS: After correction for multiple testing, no significant interaction between the 235 HPA axis single-nucleotide polymorphisms and early childhood abuse was found. In our study, the strongest interaction was found with rs2664008 in the corticotropin-releasing hormone receptor 1 (CRHR1) gene, with a nominal interaction P-value of 1.22×10 and an interaction odds ratio of 0.47. CONCLUSION: Our findings suggest that further work and larger sample sizes are required to elucidate the link between early childhood abuse and the HPA axis in suicidal behavior.
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Principal components analysis corrects for stratification in genome-wide association studies
Alkes L. Price, Nick J. Patterson, Robert M. Plenge et al. · Nature Genetics · 2006 · 10.7K citations