Researcher Contribution: SSGAC Polygenic Scores for Depression, Neuroticism and Subjective Well-being (Phase 2)

This researcher contribution consists of a .txt file and related documentation. The .txt file contains polygenic scores for depression, neuroticism, and subjective well-being constructed for Turley et al.'s (2018) prediction analyses of European-ancestry HRS respondents who provided salivary DNA between 2006 and 2008. Additional methodological information is available in the documentation.

HRS Researcher Contributions are provided by fellow researchers interested in sharing their work. Interested researchers are encouraged to contribute their own datasets by submitting them via electronic mail to HRS User Support. HRS does not produce these files and thus can not support them, nor be responsible for their content or use. They are provided here as a service to the research community. This product can be downloaded from the HRS Public File Download Area.


Turley, P., Walters, R. K., Maghzian, O., Okbay, A., Lee, J. J., Fontana, M. A., ... Benjamin, D. J. (2018). Multi-trait analysis of genome-wide association summary statistics using MTAG. Nature Genetics, 50(2), 229-237.

Latest ReleaseApril 2018 (Ver 1.0)
Datasets UsedGenotype Data Version 1 (2006-2008 samples)
Data AlertsNone reported for this product