Replication of a Gene–Environment Interaction Via Multimodel Inference: Additive-Genetic Variance in Adolescents’ General Cognitive Ability Increases with Family-of-Origin Socioeconomic Status

Calcified Tissue International

Volumn 96, Issue 3, 2015, Pages 200-214

  Kirkpatrick, Robert M ^a,b   McGue, Matt ^a   Iacono, William G ^a  

^a UNIVERSITY OF MINNESOTA   (United States)

^b VIRGINIA COMMONWEALTH UNIVERSITY   (United States)

Author keywords

Adoption study; General cognitive ability; Gene environment interaction; IQ; Multimodel inference; SES; Twin study

Indexed keywords

ADDITIVE GENETIC VARIANCE; ADOLESCENT; ADOPTIVE SIBLING; ARTICLE; ASSORTATIVE MATING; BEHAVIOR GENETICS; BIOMETRY; COGNITION; FEMALE; GENETIC CORRELATION; GENETIC VARIABILITY; GENOTYPE ENVIRONMENT INTERACTION; HERITABILITY; HUMAN; INTELLIGENCE QUOTIENT; MATHEMATICAL MODEL; PRIORITY JOURNAL; SIBLING; SOCIAL STATUS; TWINS; ADOPTION; DIZYGOTIC TWINS; ENVIRONMENT; GENETIC VARIATION; GENETICS; INTELLIGENCE; INTELLIGENCE TEST; MALE; MINNESOTA; MONOZYGOTIC TWINS; PARENT; PHENOTYPE; SAMPLE SIZE; SOCIAL CLASS; STATISTICAL MODEL;

ADOLESCENT; ADOPTION; BIOMETRY; COGNITION; ENVIRONMENT; FEMALE; GENE-ENVIRONMENT INTERACTION; GENETIC VARIATION; HUMANS; INTELLIGENCE; INTELLIGENCE TESTS; MALE; MINNESOTA; MODELS, STATISTICAL; PARENTS; PHENOTYPE; SAMPLE SIZE; SIBLINGS; SOCIAL CLASS; TWINS, DIZYGOTIC; TWINS, MONOZYGOTIC;

EID: 85017330967     PISSN: 0171967X     EISSN: 14320827     Source Type: Journal    
DOI: 10.1007/s10519-014-9698-y     Document Type: Article

References (62)

1. Azen R, Budescu DV (2003) The dominance analysis approach for comparing predictors in multiple regression. Psychol Methods 8(2):129–148. doi:10.1037/1082-989X.8.2.129
2. Bartels LM (1997) Specification uncertainty and model averaging. Am J Polit Sci 41(2):641–674
3. Bates TC, Lewis GJ, Weiss A (2013) Childhood socioeconomic status amplifies genetic effects on adult intelligence. Psychol Sci 24(10):2111–2116. doi:10.1177/0956797613488394
4. Boker S, Neale M, Maes H, Wilde M et al. (2011) OpenMx: an open source extended structural equation modeling framework. Psychometrika, 76(2), 306–317. doi: 10.1007/S11336-010-9200-6. Software and documentation available at http://openmx.psyc.virginia.edu/
5. Bouchard TJ (2004) Genetic influence on human psychological traits: a survey. Curr Dir Psychol Sci 13(4):148–151
6. Bouchard TJ, McGue M (1981) Familial studies of intelligence: a review. Science 212(4498):1055–1059
7. Bouchard TJ, McGue M (2003) Genetic and environmental influences on human psychological differences. J Neurobiol 54:4–45
8. Braveman PA, Cubbin C, Egerter S, Chideya S, Marchi KS, Metzler M, Posner S (2005) Socioeconomic status in health research: One size does not fit all. J Am Med Assoc 294(22):2879–2888
9. Breiman L (1992) The little bootstrap and other methods for dimensionality selection in regression: x-fixed prediction error. Journal of the American Statistical Association 87(419):738–754
10. Bronfenbrenner U, Ceci SJ (1994) Nature-nurture reconceptualized in developmental perspective: a bioecological model. Psychol Rev 101(4):568–586
11. Browne MW (2000) Cross-validation methods. J Math Psychol 44:108–132. doi:10.1006/jmps.1999.1279
12. Burnham KP, Anderson DR (2001) Kullback-Leibler information as a basis for strong inference in ecological studies. Wildl Res 28:111–119
13. Burnham KP, Anderson DR (2002) Model selection and multimodel inference: a practical information-theoretic approach, 2nd edn. Springer, New York
14. Burnham KP, Anderson DR (2004) Multimodel inference: Understanding AIC and BIC in model selection. Sociol Methods Res 33(2):261–304. doi:10.1177/0049124104268644
15. Cherny SS, Cardon LR, Fulker DW, DeFries JC (1992) Differential heritability across levels of cognitive ability. Behav Genet 22(2):153–162
16. Deary IJ, Spinath FM, Bates TC (2006) Genetics of intelligence. Eur J Hum Genet 14:690–700. doi:10.1038/sj.ejhg.5201588
17. DeFries JC, Fulker DW (1985) Multiple regression analysis of twin data. Behav Genet 15(5):467–473
18. DeFries JC, Fulker DW (1988) Multiple regression analysis of twin data: Etiology of deviant scores versus individual differences. Acta Geneticae Medicae et Gemellologiae 37:205–216
19. Evans GW (2004) The environment of childhood poverty. Am Psychol 59(2):77–92. doi:10.1037/0003-066X.59.2.77
20. Fischbein S (1980) IQ and social class. Intelligence 4:51–63
21. Galton F (1869). Hereditary genius: an inquiry into its laws and consequences. London: MacMillan & Co. Retrieved from http://galton.org/
22. Grant MD, Kremen WS, Jacobson KC et al (2010) Does parental education have a moderating effect on the genetic and environmental influences of general cognitive ability in early adulthood? Behav Genet 40:438–446. doi:10.1007/s10519-010-9351-3
23. Hanscombe KB, Trzaskowski M, Haworth CMA, Davis OSP, Dale PS, 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. PLoS ONE 7(2):e30320. doi:10.1371/journal.pone.0030320
24. Harden KP, Turkheimer E, Loehlin JC (2007) Genotype by environment interaction in adolescents’ cognitive aptitude. Behav Genet 37:273–283. doi:10.1007/s10519-006-9113-4
25. Hastie T, Tibshirani R, Friedman J (2009) The elements of statistical learning: data mining, inference, and prediction, 2nd edn. Springer Science + Business Media, New York. doi:10.1007/b94608
26. Hollingshead AB (1957) Two factor index of social position. Hollingshead, New Haven
27. Hurvich CM, Tsai C-L (1989) Regression and time series model selection in small samples. Biometrika 76(2):297–307
28. Iacono WG, McGue M (2002) Minnesota twin family study. Twin Res 5(5):482–487
29. Iacono WG, Carlson SR, Taylor J, Elkins IJ, McGue M (1999) Behavioral disinhibition and the development of substance-use disorders: findings from the Minnesota twin family study. Dev Psychopathol 11:869–900
30. Kapetanios G, Labhard V, Price S (2008) Forecasting using Bayesian and information-theoretic model-averaging: An application to U.K. inflation. J Bus Econ Stat 26(1):33–41. doi:10.1198/073500107000000232
31. Keyes MA, Malone SM, Elkins IJ, Legrand LN, McGue M, Iacono WG (2009) The enrichment study of the Minnesota twin family study: increasing the yield of twin families at high risk for externalizing psychopathology. Twin Res Human Genet 12(5):489–501
32. Kirkpatrick RM, McGue M, Iacono WG (2009) Shared-environmental contributions to high cognitive ability. Behav Genet 39:406–416. doi:10.1007/s10519-009-9265-0
33. Kirkpatrick RM, McGue M, Iacono WG, Miller MB, Basu S, Pankratz N (2014) Low-frequency copy-number variants and general cognitive ability: no evidence of association. Intelligence 42:98–106. doi:10.1016/j.intell.2013.11.005
34. Kohler HP, Rodgers JL (2001) DF-analyses of heritability with double-entry twin data: asymptotic standard errors and efficient estimation. Behav Genet 31(2):179–191
35. Kullback S, Leibler RA (1951) On information and sufficiency. Ann Math Stat 22(1):79–86
36. Loehlin JC, Harden KP, Turkheimer E (2009) The effect of assumptions about parental assortative mating and genotype-income correlation on estimates of genotype-environment interaction in the National Merit Twin Study. Behav Genet 39:165–169. doi:10.1007/s10519-008-9253-9
37. Lukacs PM, Burnham KP, Anderson DR (2009) Model selection bias and Freedman’s paradox. Ann Inst Stat Math 62:117–125. doi:10.1007/s10463-009-0234-4
38. McCallum RC, Mar CM (1995) Distinguishing between moderator and quadratic effects in multiple regression. Psychol Bull 118(3):405–421
39. McGue M, Bouchard TJ (1984) Adjustment of twin data for the effects of age and sex. Behav Genet 14(4):325–343
40. McGue M, Keyes M, Sharma A, Elkins I, Legrand L, Johnson W, Iacono WG (2007) The environments of adopted and non-adopted youth: Evidence on range restriction from the Sibling Interaction and Behavior Study (SIBS). Behav Genet 37:449–462. doi:10.1007/s10519-007-9142-7
41. Myrianthopolous NC, French KS (1968) An application of the U.S. Bureau of the Census socioeconomic index to a large, diversified patient population. Soc Sci Med 2:283–299
42. Pawitan Y (2013) In all likelihood: statistical modelling and inference using likelihood. Oxford University Press, Oxford
43. Plomin R, DeFries JC, Loehlin JC (1977) Genotype-environment interaction and correlation in the analysis of human behavior. Psychol Bull 84(2):309–322
44. Price TS, Jaffee SR (2008) Effects of the family environment: Gene-environment interaction and passive gene-environment correlation. Dev Psychol 44(2):305–315. doi:10.1037/0012-1649.44.2.305
45. Purcell S (2002) Variance components models for gene-environment interaction in twin analysis. Twin Research 5(6):554–571
46. Rathouz PJ, Van Hulle CA, Rodgers JL, Waldman ID, Lahey BB (2008) Specification, testing, and interpretation of gene-by-measured environment interaction models in the presence of gene-environment correlation. Behav Genet 38:301–315. doi:10.1007/s10519-008-9193-4
47. Rijsdijk FV, Vernon PA, Boomsma DI (2002) Application of hierarchical genetic models to Raven and WAIS subtests: a Dutch twin study. Behav Genet 32(3):199–210
48. Rodgers JL, Kohler HP (2005) Reformulating and simplifying the DF analysis model. Behav Genet 35(2):211–217
49. Rodgers JL, McGue M (1994) A simple algebraic demonstration of the validity of Defries-Fulker analysis in unselected samples with multiple kinship levels. Behav Genet 24(3):259–262
50. Rowe DC, Jacobson KC, van den Oord EJCG (1999) Genetic and environmental influences on vocabulary IQ: parental educational level as moderator. Child Dev 70(5):1151–1162
51. Scarr S (1992) Developmental theories for the 1990s: development and individual differences. Child Dev 63:1–19
52. Scarr S, Weinberg RA (1978) The influence of “family background” on intellectual attainment. Am Sociol Rev 43(5):674–692
53. Scarr-Salapatek S (1971) Race, social class, and IQ. Science 174(4016):1285–1295
54. Shao J (1997) An asymptotic theory for linear model selection. Stat Sin 7:221–264
55. Spearman C (1904) “General intelligence”, objectively determined and measured. Am J Psychol 15(2):201–292
56. Stone M (1977). An asymptotic equivalence of choice of model by cross-validation and Akaike’s criterion. J R Stat Soc Ser B (Methodol), 39(1):44–47
57. Tucker-Drob EM, Harden KP, Turkheimer E (2009) Combining nonlinear biometric and psychometric models of cognitive abilities. Behav Genet 39:461–471. doi:10.1007/s10519-009-9288-6
58. Turkheimer E, Haley A, Waldron M, D’Onofrio B, Gottesman II (2003) Socioeconomic status modifies heritability of IQ in young children. Psychol Sci 14(6):623–628
59. Uher R, Dragomirecka E, Papezova H (2006) Use of socioeconomic status in health research. J Am Med Assoc 295(15):1770
60. Van den Ooord EJCG, Rowe DC (1998) An examination of genotype-environment interactions for academic achievement in an U.S. National Longitudinal Survey. Intelligence 25(3):205–228
61. Van der Sluis S, Willemsen G, de Geus EJC, Boomsma DI, Posthuma D (2008) Gene-environment interaction in adults’ IQ scores: measures of past and present environment. Behav Genet 38:348–360. doi:10.1007/s10519-008-9212-5
62. Van der Sluis S, Posthuma D, Dolan CV (2012) A note on false positives and power in G × E modelling of twin data. Behav Genet 42:170–186. doi:10.1007/s10519-011-9480-3