Kirsten Schut
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Kirsten Schut has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Dmitry V. Kuznetsov
Faculty of Sociology, Bielefeld University
1 shared publication - Dorret I. Boomsma
Vrije Universiteit Amsterdam
1 shared publication - Fiona A. Hagenbeek
Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, 00290 Helsinki, Finland
1 shared publication - Jana S. Hirzinger
Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
1 shared publication - Sophie Breunig
Department of Psychology and Neuroscience, University of Colorado at Boulder, Boulder, USA
1 shared publication - Susanne Bruins
Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
1 shared publication
Latest Publications
- 15 May 2023
- Published by Springer Nature in Nature Human Behaviour
- Vol. 7 (6) , 849-860
Maximizing the value of twin studies in health and behaviour
In the classical twin design, researchers compare trait resemblance in cohorts of identical and non-identical twins to understand how genetic and environmental factors correlate with resemblance in behaviour and other phenotypes. The twin design is also a valuable tool for studying causality, intergenerational transmission, and gene–environment correlation and interaction. Here we review recent developments in twin studies, recent results from twin studies of new phenotypes and recent insights into twinning. We ask whether the results of existing twin studies are representative of the general population and of global diversity, and we conclude that stronger efforts to increase representativeness are needed. We provide an updated overview of twin concordance and discordance for major diseases and mental disorders, which conveys a crucial message: genetic influences are not as deterministic as many believe. This has important implications for public understanding of genetic risk prediction tools, as the accuracy of genetic predictions can never exceed identical twin concordance rates.
- 15 May 2023
- Published by Springer Nature in Nature Human Behaviour
- Vol. 7 (6) , 849-860
Maximizing the value of twin studies in health and behaviour
In the classical twin design, researchers compare trait resemblance in cohorts of identical and non-identical twins to understand how genetic and environmental factors correlate with resemblance in behaviour and other phenotypes. The twin design is also a valuable tool for studying causality, intergenerational transmission, and gene–environment correlation and interaction. Here we review recent developments in twin studies, recent results from twin studies of new phenotypes and recent insights into twinning. We ask whether the results of existing twin studies are representative of the general population and of global diversity, and we conclude that stronger efforts to increase representativeness are needed. We provide an updated overview of twin concordance and discordance for major diseases and mental disorders, which conveys a crucial message: genetic influences are not as deterministic as many believe. This has important implications for public understanding of genetic risk prediction tools, as the accuracy of genetic predictions can never exceed identical twin concordance rates.