Commentary: Will genomics revolutionise research on gene-environment interplay?

Irritability in Youths: A Critical Integrative Review

Irritability, defined as proneness to anger that may impair an individual's functioning, is common in youths. There has been a recent upsurge in relevant research. The authors combine systematic and narrative review approaches to integrate the latest clinical and translational findings and provide suggestions for addressing research gaps. Clinicians and researchers should assess irritability routinely, and specific assessment tools are now available. Informant effects are prominent, are stable, and vary by age and gender. The prevalence of irritability is particularly high among individuals with attention deficit hyperactivity disorder, autism spectrum disorder, and mood and anxiety disorders. Irritability is associated with impairment and suicidality risk independent of co-occurring diagnoses. Developmental trajectories of irritability (which may begin early in life) have been identified and are differentially associated with clinical outcomes. Youth irritability is associated with increased risk of anxiety, depression, behavioral problems, and suicidality later in life. Irritability is moderately heritable, and genetic associations differ based on age and comorbid illnesses. Parent management training is effective for treating psychological problems related to irritability, but its efficacy in treating irritability should be tested rigorously, as should novel mechanism-informed interventions (e.g., those targeting exposure to frustration). Associations between irritability and suicidality and the impact of cultural context are important, underresearched topics. Analyses of large, diverse longitudinal samples that extend into adulthood are needed. Data from both animal and human research indicate that aberrant responses to frustration and threat are central to the pathophysiology of irritability, revealing important translational opportunities.

The next 10 years of behavioural genomic research

Background

The explosion caused by the fusion of quantitative genetics and molecular genetics will transform behavioural genetic research in child and adolescent psychology and psychiatry.

Methods

Although the fallout has not yet settled, the goal of this paper is to predict the next 10 years of research in what could be called behavioural genomics.

Results

I focus on three research directions: the genetic architecture of psychopathology, causal modelling of gene-environment interplay, and the use of DNA as an early warning system.

Conclusion

Eventually, whole-genome sequencing will be available for all newborns, which means that behavioural genomics could potentially be applied ubiquitously in research and clinical practice.

Editorial: Does the polygenic revolution herald a watershed in the study of GE interplay in developmental psychopathology? Some considerations for the Special Issue reader

The primary goal motivating the scientific field of Developmental Psychopathology is to discover why some individuals develop mental health and neuro-developmental difficulties while others do not. This is not simply a 'blue skies' preoccupation: the underlying hope, of course, is to translate such discoveries to the benefit of individuals, families and communities, reducing poor outcomes for those at risk and - in the best case scenario - ensuring that they thrive. A core tenet of the bio-psycho-social framework within which this field of enquiry operates is that children's difficulties are determined by the interplay of predisposing genetic risk and resilience factors and the environments and experiences to which individuals are exposed. From this perspective, understanding gene-environment (GE) interplay is a necessary condition for explaining and, as importantly predicting, why one individual is at risk while another is not. If we believe this, then the risk calculators designed to show who will and will not get a particular disorder - all the rage at the moment - are doomed to fail until they can go beyond modelling the main effects of genes and environments, and reliably estimate GE processes too. Despite significant progress, we remain a considerable way off cracking this problem.