Resource profile and user guide of the Polygenic Index Repository

Joel Becker, Casper A. P. Burik, Grant Goldman, Nancy Wang, Hariharan Jayashankar, Michael Bennett, Daniel W. Belsky, Richard Karlsson Linnér, Rafael Ahlskog, Aaron Kleinman, David A. Hinds, Avshalom Caspi, David L. Corcoran, Terrie E. Moffitt, Richie Poulton, Karen Sugden, Benjamin S. Williams, Kathleen Mullan Harris, Andrew Steptoe, Olesya Ajnakina, Lili Milani, Tõnu Esko, William G. Iacono, Matt McGue, Patrik K. E. Magnusson, Travis T. Mallard, K. Paige Harden, Elliot M. Tucker-Drob, Pamela Herd, Jeremy Freese, Alexander Young, Jonathan P. Beauchamp, Philipp D. Koellinger, Sven Oskarsson, Magnus Johannesson, Peter M. Visscher, Michelle N. Meyer, David Laibson, David Cesarini, Daniel J. Benjamin (), Patrick Turley () and Aysu Okbay ()
Additional contact information
Joel Becker: New York University
Casper A. P. Burik: Vrije Universiteit Amsterdam
Grant Goldman: National Bureau of Economic Research
Nancy Wang: National Bureau of Economic Research
Hariharan Jayashankar: National Bureau of Economic Research
Michael Bennett: National Bureau of Economic Research
Daniel W. Belsky: Columbia University Mailman School of Public Health
Richard Karlsson Linnér: Vrije Universiteit Amsterdam
Rafael Ahlskog: Uppsala University
Aaron Kleinman: 23andMe, Inc.
David A. Hinds: 23andMe, Inc.
Avshalom Caspi: Duke University
David L. Corcoran: Duke University
Terrie E. Moffitt: Duke University
Richie Poulton: University of Otago
Karen Sugden: Duke University
Benjamin S. Williams: Duke University
Kathleen Mullan Harris: University of North Carolina at Chapel Hill
Andrew Steptoe: University College London
Olesya Ajnakina: University College London
Lili Milani: University of Tartu
Tõnu Esko: University of Tartu
William G. Iacono: University of Minnesota
Matt McGue: University of Minnesota
Patrik K. E. Magnusson: Karolinska Institutet
Travis T. Mallard: The University of Texas at Austin
K. Paige Harden: The University of Texas at Austin
Elliot M. Tucker-Drob: The University of Texas at Austin
Pamela Herd: Georgetown University
Jeremy Freese: Stanford University
Alexander Young: UCLA Anderson School of Management
Jonathan P. Beauchamp: George Mason University
Philipp D. Koellinger: Vrije Universiteit Amsterdam
Sven Oskarsson: Uppsala University
Peter M. Visscher: The University of Queensland
Michelle N. Meyer: Geisinger Health System
Daniel J. Benjamin: National Bureau of Economic Research
Patrick Turley: University of Southern California
Aysu Okbay: Vrije Universiteit Amsterdam

Nature Human Behaviour, 2021, vol. 5, issue 12, 1744-1758

Abstract: Abstract Polygenic indexes (PGIs) are DNA-based predictors. Their value for research in many scientific disciplines is growing rapidly. As a resource for researchers, we used a consistent methodology to construct PGIs for 47 phenotypes in 11 datasets. To maximize the PGIs’ prediction accuracies, we constructed them using genome-wide association studies—some not previously published—from multiple data sources, including 23andMe and UK Biobank. We present a theoretical framework to help interpret analyses involving PGIs. A key insight is that a PGI can be understood as an unbiased but noisy measure of a latent variable we call the ‘additive SNP factor’. Regressions in which the true regressor is this factor but the PGI is used as its proxy therefore suffer from errors-in-variables bias. We derive an estimator that corrects for the bias, illustrate the correction, and make a Python tool for implementing it publicly available.

Date: 2021
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Citations: View citations in EconPapers (18)

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DOI: 10.1038/s41562-021-01119-3

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