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.

Contact

Year

Respondents

Dataset

Variables

Availability

Prof. Dr. Philipp Koellinger, Vrije Universiteit (VU) Amsterdam [E-Mail], Assoc. Prof. Kathryn Paige Harden, University of Texas [E-Mail], Assistant Prof. Daniel Belsky, Columbia University Mailman School of Public Health [E-Mail], Prof. Dr. Ralph Hertwig, Max-Planck-Institute for Human Development Berlin, Prof. Dr. Rui Mata, University of Basel, Assoc. Prof. Elliot Tucker-Drob, University of Texas

2019

4406

inno

igene12b, igene06, igene_final, igene_bc_devel_x, igene_devel, igene_quest, igene21_child, im_gene, igene15_child, igene16_child, igene05, igene26, igene31_child, igene07, igene12, igene04, igene31, igene16, igene23_child, igene02, igene_bc_child_x, igene21, igene_child_final, igene34_child, igene15, igene_lab, igene18_child_confirm, igene24_child, igene18_confirm, igene33_child

06/2022