Behavior Genetics Association 50th Annual Meeting Abstracts
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ABSTRACTS
Behavior Genetics Association 50th Annual Meeting Abstracts
Springer Science?Business Media, LLC, part of Springer Nature 2020
Directional relationships between childhood psychopathology dimensions across development
Grant Support: This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-curie Grant Agreement No. 721567.
Andrea G. Allegrini1, Toos van Beijsterveldt2, Dorret Boomsma2, Kaili Rimfeld1, Jean-Baptiste Pingault1, Robert Plomin1, Meike Bartels2, Michel Nivard2 1 Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom 2 Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
Genetics of autistic traits in the general population reveals potential role for immune-related genes in autism spectrum disorder
Keywords Within-family, Network approach, Child psychopathology, Comorbidity, Sibling interactions Disentangling trait-like between-person from state-like within-person processes of psychiatric traits across childhood is vital to understand causes of comorbidity, and to gain insights on developmental pathways underlying mental health problems. We present results of a preregistered study conducted in two large population-based cohorts, the Twin Early Developmental Study and the Netherlands Twin Register, where we investigated the longitudinal directional relationships between psychopathology-related traits from childhood to early adolescence, jointly estimating between-person and withinperson processes within a network model. The contrast between trait-like individual differences and statelike within-person processes can be extended to the family. Members of a family, especially siblings, are known to behave alike and this can be attributed to shared genetic and environmental influences. However, there are obvious direct interactions between siblings, agespecific symptoms in one sibling, which could precipitate mental symptoms in the other sibling at a later age. We developed an extension of the network model to family-level data by considering sibling pairs instead of unrelated individuals. Aim of this extension is to estimate reciprocal directional influences between siblings over time separating them from similarities between siblings that arise through shared (genetic or environmental) influences that exist in a family. Furthermore, this application can be used to parse out genetic and environmental components of variance at the level of time-invariant overarching stable traits, as well as agespecific effects. In practice, our approach takes the network model from an individual to a family level, while controlling for the fact that family members are related to each other.
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M. Arenelli1, G. Cadby2, W. de Witte1, R.M. Jones2, A.J.O. Whitehouse4, E.K. Moses 2,5, A. Fornito6, M.A. Bellgrove6, J.K. Buitelaar7,8,9, L.A. Kiemeney10, G. Poelmans1, J. Bralten1,7 1 Department of Human
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