Article
Resource profile and user guide of the Polygenic Index Repository.
Nature human behaviour - 1 Dec 2021
Becker Joel, Burik Casper A P, Goldman Grant, Wang Nancy, Jayashankar Hariharan, Bennett Michael, Belsky Daniel W, Karlsson Linnér Richard, Ahlskog Rafael, Kleinman Aaron, Hinds David A, Caspi Avshalom, Corcoran David L, Moffitt Terrie E, Poulton Richie, Sugden Karen, Williams Benjamin S, Harris Kathleen Mullan, Steptoe Andrew, Ajnakina Olesya, Milani Lili, Esko Tõnu, Iacono William G, McGue Matt, Magnusson Patrik K E, Mallard Travis T, Harden K Paige, Tucker-Drob Elliot M, Herd Pamela, Freese Jeremy, Young Alexander, Beauchamp Jonathan P, Koellinger Philipp D, Oskarsson Sven, Johannesson Magnus, Visscher Peter M, Meyer Michelle N, Laibson David, Cesarini David, Benjamin Daniel J, Turley Patrick, Okbay Aysu
Abstract excerpt
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...
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