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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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  • For correspondence: rebecca.ann.johnson@dartmouth.edu
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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Article Information

doi 
https://doi.org/10.1101/2020.08.30.274530
History 
  • August 31, 2020.

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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: rebecca.ann.johnson{at}dartmouth.edu (Phone: 847.414.4718).
  2. ↵†Corresponding author: dconley{at}princeton.edu
  1. ↵∗ Equal first authorship.

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Posted August 31, 2020.
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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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