Abstract
Scores on the Wechsler Intelligence Scale for Children were analyzed in a sample of 7-year-old twins from the National Collaborative Perinatal Project. A substantial proportion of the twins were raised in families living near or below the poverty level. Biometric analyses were conducted using models allowing for components attributable to the additive effects of genotype, shared environment, and non-shared environment to interact with socioeconomic status (SES) measured as a continuous variable. Results demonstrate that the proportions of IQ variance attributable to genes and environment vary nonlinearly with SES. The models suggest that in impoverished families, 60% of the variance in IQ is accounted for by the shared environment, and the contribution of genes is close to zero; in affluent families, the result is almost exactly the reverse.
| Bronfenbrenner U., Ceci S.J. (1994). Nature-nurture reconceptualized in developmental perspective: A bioecological model. Psychological Review, 101, 568– 586. Google Scholar CrossRef, Medline | |
| DeFries J.C., Fulker D.W. (1985). Multiple regression analysis of twin data. Behavior Genetics, 15, 467– 473. Google Scholar CrossRef, Medline | |
| Eaves L.J., Jinks J.L. (1972). Insignificance of evidence for differences in heritability of IQ between races and social classes. Nature, 240, 84– 88. Google Scholar CrossRef, Medline | |
| Fischbein S. (1980). IQ and social class. Intelligence, 4, 51– 63. Google Scholar CrossRef | |
| Gottesman I.I. (1968). Biogenetics of race and class. In Deutsch M., Katz I., Jensen A. (Eds.), Social class, race, and psychological development (pp. 11– 51). New York: Holt, Rinehart & Winston. Google Scholar | |
| Guo G., Wang J. (2002). The mixed or multilevel model for behavior genetic analysis. Behavior Genetics, 32, 37– 49. Google Scholar Medline | |
| Herrnstein R.J., Murray C. (1994). The bell curve: Intelligence and class structure in American life. New York: Free Press. Google Scholar | |
| Jensen A.R. (1981). Raising the IQ: The Ramey and Haskins study. Intelligence, 5, 21– 40. Google Scholar | |
| LaBuda M.C., DeFries J.C. (1990). Genetic etiology of reading disability: Evidence from a twin study. In Pavlidis G.V. (Ed.), Perspectives on dyslexia (Vol. 1, pp. 47– 76). New York: Wiley. Google Scholar | |
| McGue M., Bouchard T.J., Iacono W.G., Lykken D.T. (1993). Behavioral genetics of cognitive ability: A life-span perspective. In Plomin R., McClearn G.E. (Eds.), Nature, nurture & psychology (pp. 59– 76). Washington, DC: American Psychological Association. Google Scholar | |
| Myrianthopoulos N.C., French K.S. (1968). An application of the U.S. Bureau of Census socioeconomic index to a large diversified population. Social Science and Medicine, 2, 283– 299. Google Scholar Medline | |
| Neale M., Boker S., Xie G., Maes H. (1999). Mx: Statistical modeling . (Available from Medical College of Virginia, Department of Psychiatry, Box 126 MCV, Richmond, VA, 23298) Google Scholar | |
| Neale M.C., Miller M.B. (1997). The use of likelihood-based confidence intervals in genetic models. Behavior Genetics, 27, 113– 120. Google Scholar Medline | |
| Nichols P., Chen T. (1981). Minimal brain dysfunction: A prospective study. Hillsdale, NJ: Erlbaum. Google Scholar | |
| Plomin R. (1999). Genetics and general cognitive ability. Nature, 402, C25– C29. Google Scholar Medline | |
| Plomin R., Bergeman C.S. (1991). The nature of nurture: Genetic influence on “environmental” measures. Behavioral and Brain Sciences, 14, 373– 427. Google Scholar CrossRef | |
| Plomin R., DeFries J.C., McClearn G.E., McGuffin P. (2000). Behavioral genetics. New York: W.H. Freeman. Google Scholar | |
| Purcell S. (2003). Variance components models for gene–environment interaction in twin analysis. Twin Research, 5, 554– 571. Google Scholar | |
| Rowe D.C., Jacobson K.C., van den Oord E. (1999). Genetic and environmental influences on vocabulary IQ: Parental education level as moderator. Child Development, 70, 1151– 1162. Google Scholar CrossRef, Medline | |
| Scarr S. (1981). Race, social class, and individual differences in I.Q.: New studies of old issues. Hillsdale, NJ: Erlbaum. Google Scholar | |
| Scarr-Salapatek S. (1971). Race, social class, and IQ. Science, 4, 1285– 1295. Google Scholar | |
| Stoolmiller M. (1999). Implications of the restricted range of family environments for estimates of heritability and nonshared environment in behavior-genetic adoption studies. Psychological Bulletin, 125, 392– 409. Google Scholar Medline | |
| Thompson L.A., Tiu R.D., Detterman D.K. (1999, July). Differences in heritability across levels of father's occupation. Poster presented at the annual meeting of the Behavior Genetics Association, Vancouver, British Columbia, Canada. Google Scholar | |
| Turkheimer E. (1991). Individual and group differences in adoption studies of IQ. Psychological Bulletin, 110, 392– 405. Google Scholar | |
| Turkheimer E., Waldron M.C. (2000). Nonshared environment: A theoretical, methodological and quantitative review. Psychological Bulletin, 126, 78– 108. Google Scholar Medline | |
| U.S. Census Bureau. (2002). Historical poverty tables . Retrieved July 31, 2003, from http://www.census.gov/hhes/poverty/histpov/hstpov1.html Google Scholar | |
| van den Oord E., Rowe D.C. (1997). An examination of genotype-environment interactions for academic achievement in an U.S. longitudinal survey. Intelligence, 25, 205– 219. Google Scholar |

