Genetic Analyses of “Trios” in the SOEP-IS

Short Description: This module aims to collect genetic data from the participants. Compared to the sample sizes of state-of-the-art genetic discovery studies (with N > 1,000,000), the sample size of the SOEP-IS is marginal. However, the project is not primarily a genetic discovery study. Although genetic data from the SOEP-IS may be included in future genetic discovery meta-analyses, the main purpose of collecting genetic data in the SOEP-IS is to enable novel, genetically informed research designs that will help social scientists to better understand environmental effects. The data can be accessed via the SOEP secure data center. Researchers interested in working with the data should contact soepmail@diw.de.

Contact	Syear	Respondents	Dataset	Variables	Availability	Field	Method	Replication
Philipp Koellinger (Vrije Universiteit (VU) Amsterdam), Ralph Hertwig (Max-Planck-Institute for Human Development Berlin), Prof. Dr. Rui Mata (University of Basel), Assoc. Prof. Kathryn Paige Harden (University of Texas), Assoc. Prof. Elliot Tucker-Drob (University of Texas), Assistant Prof. Daniel Belsky (Columbia University Mailman School of Public Health)	2019	4406	inno	igene_devel, igene05, igene34_child, igene_bc_devel_x, igene21, igene16, igene_final, igene16_child, igene23_child, igene12b, igene04, igene24_child, igene15_child, igene21_child, igene26, igene_lab, igene_bc_child_x, igene_child_final, im_gene, igene07, igene02, igene_quest, igene06, igene18_child_confirm, igene18_confirm, igene12, igene33_child, igene31, igene15, igene31_child	06/2022	Behavior Genetics	Genetic Testing (non-invasive using spit samples)