Detecting genotype-environment interaction in monozygotic twin data: comparing the Jinks and Fulker test and a new test based on Marginal Maximum Likelihood estimation.

This article is concerned with the power to detect the presence of genotype by environment interaction (G x E) in the case that both genes and environment feature as latent (i.e., unmeasured) variables. The power of the test proposed by Jinks and Fulker (1970), which is based on regressing the absolute difference between the scores of monozygotic twins on the sums of these scores, is compared to the power of an alternative test, which is based on Marginal Maximum Likelihood (MML). Simulation studies showed that generally the power of the MML-based test was greater than the power of the Jinks and Fulker test in detecting linear and curvilinear G x E interaction, regardless of whether the distribution of the data deviated significantly from normality. However, after a normalizing transformation, the Jinks and Fulker test performed slightly better. Some possible future extensions of the MML-based test are briefly discussed.

[1]  Stefan Letott,et al.  Statistical Inference Based on the Likelihood , 1999, Technometrics.

[2]  L. Kuller,et al.  Estrogen use, APOE, and cognitive decline , 2000, Neurology.

[3]  K. Kendler,et al.  Does the level of family dysfunction moderate the impact of genetic factors on the personality trait of neuroticism? , 2003, Psychological Medicine.

[4]  L. Peltonen,et al.  Classical twin studies and beyond , 2002, Nature Reviews Genetics.

[5]  N. Martin,et al.  Gene-environment interaction and twin studies , 1999 .

[6]  D. Boomsma,et al.  Application of nonlinear factor analysis to genotype-environment interaction , 1987, Behavior genetics.

[7]  Manjit,et al.  Neurology , 1912, NeuroImage.

[8]  I. Gottesman,et al.  PSYCHOLOGICAL SCIENCE Research Article SOCIOECONOMIC STATUS MODIFIES HERITABILITY OF IQ , 2022 .

[9]  H. Grüneberg,et al.  Introduction to quantitative genetics , 1960 .

[10]  Kenneth Mather,et al.  Introduction to biometrical genetics , 1977 .

[11]  S. Shapiro,et al.  A Comparative Study of Various Tests for Normality , 1968 .

[12]  N. Martin,et al.  Interaction of marital status and genetic risk for symptoms of depression , 1998, Twin Research.

[13]  A. Azzalini.  Statistical Inference Based on the likelihood , 1996 .

[14]  D. A. Kenny,et al.  Consequences of violating the independence assumption in analysis of variance. , 1986 .

[15]  M. Rutter,et al.  Genetic moderation of environmental risk for depression and anxiety in adolescent girls , 2001, British Journal of Psychiatry.

[16]  D. Rao,et al.  The resolution of genotype × environment interaction in segregation analysis of nuclear families , 1984, Genetic epidemiology.

[17]  D. Boomsma,et al.  Martin NG, Gene-environment interactions , 2002 .

[18]  A. Caspi,et al.  Influence of Life Stress on Depression: Moderation by a Polymorphism in the 5-HTT Gene , 2003, Science.

[19]  A. Thapar.  Methodology for Genetic Studies of Twins and Families , 1993 .

[20]  T. J. Breen,et al.  Biostatistical Analysis (2nd ed.). , 1986 .

[21]  Dorret I. Boomsma,et al.  Variance Decomposition Using an IRT Measurement Model , 2007, Behavior genetics.

[22]  A. Thapar,et al.  Methodology for Genetic Studies of Twins and Families , 1993 .

[23]  D I Boomsma,et al.  A religious upbringing reduces the influence of genetic factors on disinhibition: evidence for interaction between genotype and environment on personality. , 1999, Twin research : the official journal of the International Society for Twin Studies.

[24]  Han L. J. van der Maas,et al.  Fitting multivariage normal finite mixtures subject to structural equation modeling , 1998 .

[25]  R. Lawn,et al.  “Variability gene” effect of cholesteryl ester transfer protein (CETP) genes , 1989, Clinical genetics.

[26]  Shaun Purcell,et al.  Variance components models for gene-environment interaction in twin analysis. , 2002, Twin research : the official journal of the International Society for Twin Studies.

[27]  A. Caspi,et al.  Influence of Life Stress on Depression: Moderation by a Polymorphism in the 5-HTT Gene , 2003, Science.

[28]  Dorret I. Boomsma,et al.  Gene–Environment Interactions , 2002 .

[29]  Hans J. Eysenck,et al.  Genes, culture, and personality : an empirical approach , 1989 .

[30]  D W Fulker,et al.  Comparison of the biometrical genetical, MAVA, and classical approaches to the analysis of human behavior. , 1970, Psychological bulletin.

[31]  K. Kyvik.  Advances in twin and Sib-pair Analysis , 1999 .

[32]  D. Falconer.  Introduction to quantitative genetics. 1. ed. , 1984 .

[33]  R. Darrell Bock,et al.  Fitting a response model forn dichotomously scored items , 1970 .