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C04: The sex-specific role of genes, early adversity, peers, community violence, and puberty related endocrinological changes in adolescent pathological aggression

Address sex-specific NVS (reactive aggression) and CS (different dimensions of psychopathy, proactive aggression) associated risk factors, and risk factor-based biosignatures in young people. Considering the interacting genetic, environmental, and hormonal factors related to these specific aggressive behavior dimensions, C04 will identify specific and shared factors and mechanisms related to NVS and CS in female and male youth with and without pathological aggression. Implementing deep-learning algorithms, sex-specific, data-driven subgroups in relation to dimensions of aggressive behavior will be described and probed against the NVS and CS. Group-level risk factors of aggressive behavior dimensions, and individual risk factor-based subgrouping will be the basis of developing a biologically informed stratification strategy for tailored treatment. Models and classifiers will be established cross-sectionally in available data and replicated in the prospectively collected cross-sectional data (Q01). In addition, C04 will test the models and classifiers for predictive validity in the longitudinal data of the TRR Q01 cohort.

Contributors


Andreas G Chiocchetti

Professor Andreas G Chiocchetti is passionate about working with models to understand human behaviour and neurodiversity. Biotechnologist by training (Salzburg, Austria), Phd in Genetics, Research Fellow at UCLA, Los Angeles, ex Data-Scientist in Industry.

Christine Margarete Freitag

Professor Christine M Freitag focuses on Translational research in Neurodevelopmental, Anxiety and Disruptive Behavior Disorders in children and youth. Her methods comprise biostatistics, diagnostic and biomarker studies, randomized-controlled trials (phase-IIa, phase-III), brain stimulation and behavioural/psychotherapeutic interventions.

Publications


Parsing Autism Heterogeneity: Transcriptomic Subgrouping of Imaging-Derived Phenotypes in Autism

Neurodevelopmental conditions, such as autism, are highly heterogeneous at both the mechanistic and phenotypic levels. Therefore, parsing heterogeneity is vital for uncovering underlying processes that could inform the development of targeted, personalized support.