Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Rafael Ahlskog"'
Publikováno v:
The Journal of Politics. 84:1337-1352
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef90c0ca1af3d8659b066ab56fc20410
https://doi.org/10.1086/716296
https://doi.org/10.1086/716296
Autor:
Rafael Ahlskog
Publikováno v:
Political Psychology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9b0710f894c3c46ed70a3001437ff46
https://doi.org/10.1111/pops.12901
https://doi.org/10.1111/pops.12901
Autor:
Rafael Ahlskog, Sven Oskarsson
Publikováno v:
Political Analysis. 31:181-194
A core part of political research is to identify how political preferences are shaped. The nature of these questions is such that robust causal identification is often difficult to achieve, and we are not seldom stuck with observational methods that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8790e7110336223dbc9513134ea0528b
https://doi.org/10.1017/pan.2022.2
https://doi.org/10.1017/pan.2022.2
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbdd47471aa404d3a47b39cc69b97d28
https://doi.org/10.2139/ssrn.4359368
https://doi.org/10.2139/ssrn.4359368
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fe1d8d58aa77d93e1f89f2f5ff08dfc
https://doi.org/10.2139/ssrn.4447086
https://doi.org/10.2139/ssrn.4447086
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d51d6772a717a77549e84b6250b30603
https://doi.org/10.2139/ssrn.4403843
https://doi.org/10.2139/ssrn.4403843
Autor:
Rafael Ahlskog
Variation in political preferences is increasingly understood to stem from both environmental influences and genetics. Research has argued that a possible pathway for genetic effects on ideology is via cognitive performance, showing a genetic overlap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82b573c376d258d469ec6591b3db8ba4
https://doi.org/10.1101/2022.12.12.520104
https://doi.org/10.1101/2022.12.12.520104
Autor:
Magnus Johannesson, Hariharan Jayashankar, Avshalom Caspi, David Laibson, Matt McGue, Sven Oskarsson, Alexander I. Young, Nancy Wang, Jeremy Freese, David A. Hinds, William G. Iacono, Andrew Steptoe, Lili Milani, Casper A.P. Burik, Aysu Okbay, Grant Goldman, K. Paige Harden, Jonathan P. Beauchamp, Elliot M. Tucker-Drob, Rafael Ahlskog, Peter M. Visscher, Michael Bennett, Aaron Kleinman, Patrick Turley, Travis T. Mallard, Philipp Koellinger, Olesya Ajnakina, David Cesarini, Tõnu Esko, Michelle N. Meyer, Daniel J. Benjamin, Joel Becker, Benjamin Williams, Kathleen Mullan Harris, Terrie E. Moffitt, Richie Poulton, Richard Karlsson Linnér, Pamela Herd, David L. Corcoran, Patrik K. E. Magnusson, Karen Sugden, Daniel W. Belsky
Polygenic indexes (PGIs) are DNA-based predictors. Their value for research in many scientific disciplines is rapidly growing. As a resource for researchers, we used a consistent methodology to construct PGIs for 47 phenotypes in 11 datasets. To maxi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f578513b1b3fadbab5e14ff2f9ad1039
https://doi.org/10.1101/2021.05.08.443158
https://doi.org/10.1101/2021.05.08.443158
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4995723102cb1097d737f271378d8236
https://doi.org/10.2139/ssrn.3938154
https://doi.org/10.2139/ssrn.3938154
Autor:
Hariharan Jayashankar, David Laibson, Nancy Wang, William G. Iacono, Avshalom Caspi, Karen Sugden, Patrik K. E. Magnusson, Tõnu Esko, Kathleen Mullan Harris, Alexander I. Young, Travis T. Mallard, Terrie E. Moffitt, Patrick Turley, Jeremy Freese, Grant Goldman, Richard Karlsson Linnér, Pamela Herd, Michael Bennett, Benjamin Williams, Sven Oskarsson, Rafael Ahlskog, Aaron Kleinman, Peter M. Visscher, Elliot M. Tucker-Drob, David Cesarini, Aysu Okbay, Magnus Johannesson, Olesya Ajnakina, Philipp Koellinger, Joel Becker, Matt McGue, Michelle N. Meyer, Casper A.P. Burik, Jonathan P. Beauchamp, Richie Poulton, K. Paige Harden, Lili Milani, Daniel W. Belsky, David A. Hinds, Daniel J. Benjamin, David L. Corcoran, Andrew Steptoe
Publikováno v:
Nat Hum Behav
23andMe Research Group 2021, ' Resource profile and user guide of the Polygenic Index Repository ', Nature Human Behaviour, vol. 5, no. December, pp. 1744–1758 . https://doi.org/10.1038/s41562-021-01119-3
Nature Human Behaviour, 5(December). Springer Nature
23andMe Research Group 2021, ' Resource profile and user guide of the Polygenic Index Repository ', Nature Human Behaviour, vol. 5, no. December, pp. 1744–1758 . https://doi.org/10.1038/s41562-021-01119-3
Nature Human Behaviour, 5(December). Springer Nature
Polygenic indexes (PGIs) are DNA-based predictors. Their value for research in many scientific disciplines is rapidly growing. As a resource for researchers, we used a consistent methodology to construct PGIs for 47 phenotypes in 11 datasets. To maxi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d0e3fb460930d5b3d1b8f68d4c814d6
https://research.vu.nl/en/publications/af1d9fff-6f28-4afb-b646-e700454aea6c
https://research.vu.nl/en/publications/af1d9fff-6f28-4afb-b646-e700454aea6c