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The link between deprivation and its behavioural constellation is confounded by genetic factors

Published online by Cambridge University Press:  29 November 2017

James M. Sherlock  and
Brendan P. Zietsch
James M. Sherlock
Affiliation:
School of Psychology, University of Queensland, St Lucia, 4072, Queensland, Australia. [email protected]@psy.uq.edu.au
Brendan P. Zietsch
Affiliation:
School of Psychology, University of Queensland, St Lucia, 4072, Queensland, Australia. [email protected]@psy.uq.edu.au Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, 4029, Queensland, Australia.
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Abstract

Most research cited throughout Pepper & Nettle's (P&N's) target article is correlational and suffers from a serious genetic confound that renders it of little evidentiary value. Of correlational findings that are not confounded, P&N ignore examples that contradict their model. Further, P&N's claim that evolutionary models explaining between-species differences in behaviour can be used to understand that corresponding individual differences lack any evidence.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 40 , 2017 , e343
Copyright
Copyright © Cambridge University Press 2017 

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References

Anokhin, A. P., Golosheykin, S., Grant, J. D. & Heath, A. C. (2011) Heritability of delay discounting in adolescence: A longitudinal twin study. Behavior Genetics 41(2):175–83.Google Scholar
Anokhin, A. P., Grant, J. D., Mulligan, R. C. & Heath, A. C. (2015) The genetics of impulsivity: Evidence for the heritability of delay discounting. Biological Psychiatry 77(10):887–94.Google Scholar
Camarota, S. A. (2005) Birth rates among immigrants in America. Available at: http://cis.org/ImmigrantBirthRates-FertilityUS.Google Scholar
Fishback, P. V., Haines, M. R. & Kantor, S. (2007) Births, deaths, and New Deal relief during the Great Depression. Review of Economics and Statistics 89(1):1–14.Google Scholar
Glusker, A. I. (2003) Fertility patterns of native and foreign-born women: Assimilating to diversity. LFB Scholarly Publishing.Google Scholar
Hanscombe, K. B., Trzaskowski, M., Haworth, C. M. A., Davis, O. S. P., Dale, P. S. & Plomin, R. (2012) Socioeconomic status (SES) and children's intelligence (IQ): In a UK-representative sample SES Moderates the environmental, not genetic, effect on IQ (socioeconomic status and intelligence). PLOS ONE 7(2):e30320.Google Scholar
Hewitt, J. (2012) Editorial policy on candidate gene association and candidate gene-by-environment interaction studies of complex traits. An International Journal Devoted to Research in the Inheritance of Behavior 42(1):1–2.Google Scholar
Hill, W. D., Hagenaars, S. P., Marioni, R. E., Harris, S. E., Liewald, D. C. M., Davies, G., Okbay, A., McIntosh, A. M., Gale, C. R & Deary, I. J. (2016) Molecular genetic contributions to social deprivation and household income in UK Biobank. Current Biology 26(22):3083–89.Google Scholar
Livingston, G. (2011) In a down economy, fewer births. Available at: http://www.pewsocialtrends.org/2011/10/12/in-a-down-economy-fewer-births/.Google Scholar
Marioni, R. E., Davies, G., Hayward, C., Liewald, D., Kerr, S. M., Campbell, A., Luciano, M., Smith, B. H., Padmanabhan, S., Hocking, L. J., Hastie, N. D., Wright, A. F., Porteous, D. J., Visscher, P. M & Deary, I. J. (2014) Molecular genetic contributions to socioeconomic status and intelligence. Intelligence 44(100):26–32.Google Scholar
Sweitzer, M. M., Halder, I., Flory, J. D., Craig, A. E., Gianaros, P. J., Ferrell, R. E. & Manuck, S. B. (2013) Polymorphic variation in the dopamine D4 receptor predicts delay discounting as a function of childhood socioeconomic status: Evidence for differential susceptibility. Social Cognitive and Affective Neuroscience 8(5):499–508.CrossRefGoogle ScholarPubMed
Trzaskowski, M., Harlaar, N., Arden, R., Krapohl, E., Rimfeld, K., McMillan, A., Dale, P. S. & Plomin, R. (2014) Genetic influence on family socioeconomic status and children's intelligence. Intelligence 42(100):83–88.Google Scholar
Turkheimer, E., Haley, A., Waldron, M., D'Onofrio, B. & Gottesman, I. I. (2003) Socioeconomic status modifies heritability of IQ in young children. Psychological Science 14(6):623–28.Google Scholar
Zietsch, B. P. (2016) Individual differences as the output of evolved calibration mechanisms: Does the theory make sense in light of empirical observations? Current Opinion in Psychology 7:71–75.Google Scholar