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Increasing the use of functional and multimodal genetic data in social science research

Published online by Cambridge University Press:  11 September 2023

Benjamin C. Nephew Open the ORCID record for Benjamin C. Nephew [Opens in a new window] ,
Chris Murgatroyd ,
Justin J. Polcari ,
Hudson P. Santos Jr.  and
Angela C. Incollingo Rodriguez
Benjamin C. Nephew
Affiliation:
Department of Biology and Biotechnology, Worcester Polytechnic Institute, Worcester, MA, USA bcnephew@aol.com jjpolicari@wpi.edu
Chris Murgatroyd
Affiliation:
School of Healthcare Science, Manchester Metropolitan University, Manchester, UK c.murgatroyd@mmu.ac.uk
Justin J. Polcari
Affiliation:
Department of Biology and Biotechnology, Worcester Polytechnic Institute, Worcester, MA, USA bcnephew@aol.com jjpolicari@wpi.edu
Hudson P. Santos Jr.
Affiliation:
Department of Nursing, University of Miami, Coral Gables, FL, USA hsantos@miami.edu
Angela C. Incollingo Rodriguez
Affiliation:
Department of Psychological Science, Worcester Polytechnic Institute, Worcester, MA, USA acrodriguez@wpi.edu
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Abstract

Genetic studies in the social sciences could be augmented through the additional consideration of functional (transcriptome, methylome, metabolome) and/or multimodal genetic data when attempting to understand the genetics of social phenomena. Understanding the biological pathways linking genetics and the environment will allow scientists to better evaluate the functional importance of polygenic scores.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 46 , 2023 , e223
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Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press

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References

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