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Polygenic Scores for Plasticity: A New Tool for Studying Gene-Environment Interplay

Rebecca Johnson, Ramina Sotoudeh, Dalton Conley
doi: https://doi.org/10.1101/2020.08.30.274530
Rebecca Johnson
1Program in Quantitative Social Science, Dartmouth College
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Ramina Sotoudeh
2Department of Sociology, Princeton University
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Dalton Conley
2Department of Sociology, Princeton University
3Office of Population Research, Princeton University
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  • For correspondence: dconley@princeton.edu
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doi 
https://doi.org/10.1101/2020.08.30.274530
History 
  • June 17, 2021.

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  • Version 1 (August 31, 2020 - 15:10).
  • You are viewing Version 2, the most recent version of this article.
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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.

Author Information

  1. Rebecca Johnson*,*,1,
  2. Ramina Sotoudeh*,2 and
  3. Dalton Conley*,2,3,#
  1. 1Program in Quantitative Social Science, Dartmouth College
  2. 2Department of Sociology, Princeton University
  3. 3Office of Population Research, Princeton University
  1. ↵#Corresponding author is: Dalton Conley, dconley{at}princeton.edu
  1. ↵* Equal first authorship.

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Posted June 17, 2021.
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Polygenic Scores for Plasticity: A New Tool for Studying Gene-Environment Interplay
Rebecca Johnson, Ramina Sotoudeh, Dalton Conley
bioRxiv 2020.08.30.274530; doi: https://doi.org/10.1101/2020.08.30.274530
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Polygenic Scores for Plasticity: A New Tool for Studying Gene-Environment Interplay
Rebecca Johnson, Ramina Sotoudeh, Dalton Conley
bioRxiv 2020.08.30.274530; doi: https://doi.org/10.1101/2020.08.30.274530

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