Cohort Profile: Genetic data in the German Socio-Economic Panel Innovation Sample (Gene-SOEP)

Koellinger, P. D.; Okbay, A.; Kweon, H.; Schweinert, A.; Karlsson Linner, R.; Goebel, J.; Richter, D.; Reiber, L.; Zweck, B. M.; Belsky, D.; Biroli, P.; Mata, R.; Tucker-Drob, E. M.; Harden, K. P.; Wagner, G.; Hertwig, R.

doi:10.1101/2021.11.06.467573

bioRxiv · 10.1101/2021.11.06.467573

Cohort Profile: Genetic data in the German Socio-Economic Panel Innovation Sample (Gene-SOEP)

Koellinger, P. D.·Okbay, A.·Kweon, H.·Schweinert, A.·Karlsson Linner, R.·Goebel, J.·Richter, D.·Reiber, L.·Zweck, B. M.·Belsky, D.·Biroli, P.·Mata, R.·Tucker-Drob, E. M.·Harden, K. P.·Wagner, G.·Hertwig, R.

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Abstract

The German Socio-Economic Panel (SOEP) serves a global research community by providing representative annual longitudinal data of private households in Germany. The sample provides a detailed life course perspective based on a rich collection of information about living conditions, socio-economic status, family relationships, personality, values, preferences, and health. We collected genetic data from 2,598 individuals in the SOEP Innovation Sample, yielding the first genotyped sample that is representative of the entire German population (Gene-SOEP). The Gene-SOEP sample is a longitudinal study that includes 107 full-sibling pairs, 501 parent-offspring pairs, and 152 parent-offspring trios that are overlapping with the parent-offspring pairs. We constructed a repository of 66 polygenic indices in the Gene-SOEP sample based on results from well-powered genome-wide association studies. The Gene-SOEP data provides a valuable resource to study individual differences, inequalities, life-course development, health, and interactions between genetic predispositions and environment.

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Koellinger, P. D., Okbay, A., Kweon, H., Schweinert, A., Karlsson Linner, R., Goebel, J., Richter, D., Reiber, L., Zweck, B. M., Belsky, D., Biroli, P., Mata, R., Tucker-Drob, E. M., Harden, K. P., Wagner, G., Hertwig, R.. 2021-11-10. Cohort Profile: Genetic data in the German Socio-Economic Panel Innovation Sample (Gene-SOEP). https://doi.org/10.1101/2021.11.06.467573

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