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A STUDY OF THE HERITABILITY OF INTELLIGENCE IN SUDAN

Published online by Cambridge University Press:  23 May 2018

Howida Sirelkhatim Abdalrahim Toto ,
Davide Piffer ,
Omar Haroun Khaleefa ,
Rogai Al-Sayed Al-Tayeb Bader ,
Salaheldin Farah Attallah Bakhiet Open the ORCID record for Salaheldin Farah Attallah Bakhiet [Opens in a new window] ,
Richard Lynn  and
Yossry Ahmed Sayed Essa
Howida Sirelkhatim Abdalrahim Toto
Affiliation:
Sudan University of Science & Technology, Sudan
Davide Piffer
Affiliation:
Ulster Institute for Social Research, London, UK
Omar Haroun Khaleefa
Affiliation:
University of Khartoum, Sudan
Rogai Al-Sayed Al-Tayeb Bader
Affiliation:
University of Khartoum, Sudan
Salaheldin Farah Attallah Bakhiet*
Affiliation:
Department of Special Education, College of Education, King Saud University, Riyadh, Saudi Arabia
Richard Lynn
Affiliation:
University of Ulster, Coleraine, Northern Ireland
Yossry Ahmed Sayed Essa
Affiliation:
Department of Special Education, College of Education, King Saud University, Riyadh, Saudi Arabia
*
1Corresponding author. Email: bakhiet@ksu.edu.sa
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Summary

Intelligence was assessed using the Standard Progressive Matrices in 316 MZ and 550 same-sex DZ twins with a mean age of 10 years in Sudan. Heritability was estimated at 0.172 and shared environmental influences at 0.596.

Type
Short Report
Information
Journal of Biosocial Science , Volume 51 , Issue 2 , March 2019 , pp. 307 - 311
Copyright
Copyright © Cambridge University Press, 2018 

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References

Akaike, H. (1987) Factor analysis and AIC. Psychometrica 52, 317–332.Google Scholar
Boker, S., Neale, M., Maes, H., Wilde, M., Spiegel, M., Brick, T. et al. (2011) OpenMx: an open source extended structural equation modeling framework. Psychometrika 76, 306–317.Google Scholar
Bouchard, T. J. (1993) The genetic architecture of human intelligence. In Vernon, P. A. (ed.) Biological Approaches to the Study of Human Intelligence. Ablex, Norwood, NJ.Google Scholar
Falconer, D. S. (1981) Introduction to Quantitative Genetics. Longman, London.Google Scholar
Hanscombe, K. B., Trzaskowski, M., Haworth, C. M. A., Davis, O. S. P., Dale, P. S. et al. (2012) Socioeconomic status (SES) and children’s intelligence (IQ) in a UK-representative sample SES moderates the environmental, not genetic, effect on IQ. PLoS One 7(2), e30320.Google Scholar
Hur, Y.-M. (2016) Assortative mating for educational level in parents of public school children (N 7000 individuals) in the Lagos State, Nigeria. Behavior Genetics 46, 596–602.Google Scholar
Hur, Y.-M. & Lynn, R. (2013) Twin–singleton differences in cognitive abilities in a sample of Africans in Nigeria. Twin Research and Human Genetics 16, 808–815.Google Scholar
Lynn, R. & Vanhanen, T. (2012) Intelligence: A Unifying Construct for the Social Sciences. Ulster Institute for Social Research, London.Google Scholar
Martin, N. G., Eaves, L. J., Kearsey, M. J. & Davies, P. (1978) The power of the classical twin study. Heredity 40, 97–116.Google Scholar
Ooki, S. I., Yamada, K., Asaka, A. & Hayakawa, K. (1990) Zygosity diagnosis of twins by questionnaire. Acta Genetica Medica Gemellolica (Roma) 39, 109–115.Google Scholar
Plomin, R. & Deary, I. J. (2015) Genetics and intelligence differences: five special findings. Molecular Psychiatry 20, 98–108.Google Scholar
Plomin, R., DeFries, J. C., McClearn, G. E. & McGuffin, P. (2008) Behavioral Genetics, 5th Edition. Worth Publishers, New York.Google Scholar
Raven, J., Raven, J. C. & Court, J. H. (2000) Standard Progressive Matrices. Oxford Psychologists Press, Oxford.Google Scholar
Tucker-Drob, E. M., Rhemtulla, M., Harden, K. P., Turkheimer, E. & Fask, D. (2010) Emergence of a gene x socio-economic status interaction on infant mental ability between 10 months and 2 years. Psychological Science 22, 125–133.Google Scholar
Turkheimer, E., D’Onofrio, B. & Gottesman, I. (2003) Socio-economic status modifies heritability of IQ in young children. Psychological Science 14, 623–628.Google Scholar
Vanhanen, T. (2014) Global Inequality. Ulster Institute for Social Research, London.Google Scholar