Operating characteristics of alternative statistical methods for detecting gene-by-measured environment interaction in the presence of gene-environment correlation in twin and sibling studies

Behavior Genetics

Volumn 43, Issue 1, 2013, Pages 71-84

  Van Hulle, Carol A ^a   Lahey, Benjamin B ^b   Rathouz, Paul J ^c  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

^b UNIVERSITY OF CHICAGO   (United States)

^c UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

Author keywords

Gene environment correlation; Gene environment interaction; Gene environment moderation; Simulation study; Twin study

Indexed keywords

ANALYTICAL ERROR; ANXIETY; ARTICLE; BAYES THEOREM; BIRTH WEIGHT; CHOLESKY MODEL; DATA BASE; FALSE POSITIVE RESULT; GENOTYPE ENVIRONMENT INTERACTION; NONLINEAR SYSTEM; SAMPLE SIZE; SIBLING; SIMULATION; STANDARDIZATION; STATISTICAL ANALYSIS; STATISTICAL MODEL; TWINS;

ALGORITHMS; ANXIETY; BAYES THEOREM; COMPUTER SIMULATION; FALSE POSITIVE REACTIONS; GENE-ENVIRONMENT INTERACTION; HUMANS; MODELS, STATISTICAL; NONLINEAR DYNAMICS; REPRODUCIBILITY OF RESULTS; RESEARCH DESIGN; SAMPLE SIZE; SIBLINGS; STATISTICS AS TOPIC; TWIN STUDIES AS TOPIC; TWINS;

EID: 84872687273     PISSN: 00018244     EISSN: 15733297     Source Type: Journal    
DOI: 10.1007/s10519-012-9568-4     Document Type: Article

References (22)

1. Asbury K, Dunn JF, Plomin R (2006) Birthweight-discordance and differences in early parenting relate to monozygotic twin differences in behaviour problems and academic achievement at age 7. Dev Sci 9(2):F22-F31. doi: 10.1111/j.1467-7687.2006.00469.x
2. Boker S, Neale M, Maes H, Wilde M, Spiegel M, Brick T, Spies J et al (2011) OpenMx: an open source extended structural equation modeling framework. Psychometrika 76(2):306-317. doi: 10.1007/s11336-010-9200-6
3. Dick DM, Rose RJ, Viken RJ, Kaprio J, Koskenvuo M (2001) Exploring gene-environment interactions: socioregional moderation of alcohol use. J Abnorm Psychol 110(4):625-632. doi: 10.1037/0021-843X.110.4.625
4. Johnson W, Krueger RF (2005) Higher perceived life control decreases genetic variance in physical health: evidence from a national twin study. J Pers Soc Psychol 88(1):165-173. doi: 10.1037/0022-3514.88.1.165
5. Johnson W, McGue M, Iacono WG (2009) School performance and genetic and environmental variance in antisocial behavior at the transition from adolescence to adulthood. Dev Psychol 45:973-987
6. Lau JY, Eley TC (2008) Disentangling gene-environment correlations and interactions on adolescent depressive symptoms. J Child Psychol Psy 149:142-150
7. Lahey BB, Waldman ID, Loft JD, Hankin B, Rick J (2004) The structure of child and adolescent psychopathology: generating new hypotheses. J Abnorm Psychol 113:358-385
8. McArdle JJ, Goldsmith HH (1990) Alternative common factor models for multivariate biometric analyses. Behav Genet 20(5):569-608. doi: 10.1007/BF01065873
9. Medland SE, Neale MC, Eaves LJ, Neale BM (2008) A note on the parameterization of Purcell's G × E model for ordinal and binary data. Behav Genet 39(2):220-229. doi: 10.1007/s10519-008-9247-7
10. Muthén L, Muthén B (1998) Mplus user's guide, vol 6. Muthén & Muthén, Los Angeles
11. Neale M, Cardon L (1992) Methodology for genetic studies of twin and families. NATO ASI Series D: behavioral and social sciences, vol 67. Kluwer Academic Publishers, Boston
12. Price T, Jaffee S (2008) Effects of the family environment: gene-environmentinteraction and passive gene-environmentcorrelation. Dev Psychol 44(2):305-315. doi: 10.1037/0012-1649.44.2.305
13. Purcell S (2002) Variance components models for gene-environment interaction in twin analysis. Twin Res 5(6):554-571. doi: 10.1375/ 136905202762342026
14. R Development Core Team. (2011). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. Retrieved from http://www.r-project.org
15. Raftery AE (1995) Bayesian model selection in social research. Sociol Methodol 25:111-163
16. 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(3):301-315. doi: 10.1007/s10519-008-9193-4
17. Saunders C, Bishop D, Barrett J (2003) Sample size calculations for main effects and interactions in case-control studies using Stat's nchi2 and npnchi2 functions. Stata J 3(1):47-56
18. Silventoinen K, Hasselbalch AL, Lallukka T, Bogl L, Pietilainen KH, Heitmann BL, Schousboe K et al (2009) Modification effects of physical activity and protein intake on heritability of body size and composition. Am J Clin Nutr 90(4):1096-1103. doi: 10.3945/ajcn.2009.27689
19. South SC, Krueger RF (2008) Marital quality moderates genetic and environmental influences on the internalizing spectrum. J Abnorm Psychol 117(4):826-837. doi: 10.1037/a0013499
20. StataCorp. (2011). Stata Statistical Software: Release 12. College Station, TX: StataCorp LP
21. 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. doi: 10.1046/j.0956-7976.2003.psci-1475.x
22. van Beijsterveldt T, Boomsma DI (2008) An exploration of gene-environment interaction and asthma in a large sample of 5-year-old Dutch twins. Twin research and human genetics 11(2):143-149