Detecting specific genotype by environment interactions using marginal maximum likelihood estimation in the classical twin design

Behavior Genetics

Volumn 42, Issue 3, 2012, Pages 483-499

  Molenaar, Dylan ^a   Van Der Sluis, Sophie ^b   Boomsma, Dorret I ^b   Dolan, Conor V ^a  

^a UNIVERSITY OF AMSTERDAM   (Netherlands)

^b VU UNIVERSITY AMSTERDAM   (Netherlands)

Author keywords

ACE model; Factor analysis; Genotype by environment interaction; Heteroscedasticity; Marginal maximum likelihood; Power

Indexed keywords

ARTICLE; BIOSTATISTICS; BIVARIATE ANALYSIS; COGNITION; DIZYGOTIC TWINS; FALSE POSITIVE RESULT; GENE IDENTIFICATION; GENETIC VARIABILITY; GENOTYPE ENVIRONMENT INTERACTION; GENOTYPE PHENOTYPE CORRELATION; HETEROSCEDASTICITY; HUMAN; MARGINAL MAXIMUM LIKELIHOOD ESTIMATION METHOD; MONOZYGOTIC TWINS; MULTIVARIATE ANALYSIS; PHENOTYPIC VARIATION; SAMPLE SIZE; STATISTICAL ANALYSIS; STATISTICAL PARAMETERS; TWINS; UNIVARIATE ANALYSIS;

ADOLESCENT; AFRICAN AMERICANS; ALGORITHMS; COMPUTER SIMULATION; CONFIDENCE INTERVALS; FEMALE; GENE-ENVIRONMENT INTERACTION; GENOTYPE; HUMANS; LIKELIHOOD FUNCTIONS; MALE; MODELS, STATISTICAL; MULTIVARIATE ANALYSIS; NONLINEAR DYNAMICS; PHENOTYPE; RESEARCH DESIGN; TWIN STUDIES AS TOPIC;

EID: 84861915378     PISSN: 00018244     EISSN: 15733297     Source Type: Journal    
DOI: 10.1007/s10519-011-9522-x     Document Type: Article

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