Abstract
In this chapter, I will argue that social science and genomics can be integrated – however, the way this marriage is currently occurring rests on spurious methods and assumptions and, as a result, will yield few lasting insights. However, recent advances in both econometrics and in developmental genomics provide scientists with a novel opportunity to understand how genes and (social) environment interact. To presage my argument: Key to any causal inference about genetically heterogeneous effects of social conditions is that either genetics be exogenously manipulated while environment is held constant (and measured properly), and/or that environmental variation is exogenous in nature – i.e. experimental or arising from a natural experiment of sorts. Further, allele selection should be motivated by findings from genetic experiments in (model) animal studies linked to orthologous human genes. Likewise, genetic associations found in human population studies should then be tested through knock-out and over-expression studies in model organisms. Finally, gene silencing can be a promising avenue of research in humans if careful thought is given to when and which cells are harvested for analysis.
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Conley, D. (2011). Learning to Love Animal (Models) (or) How (Not) to Study Genes as a Social Scientist. In: Pescosolido, B., Martin, J., McLeod, J., Rogers, A. (eds) Handbook of the Sociology of Health, Illness, and Healing. Handbooks of Sociology and Social Research. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-7261-3_27
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