GW-SEM: A Statistical Package to Conduct Genome-Wide Structural Equation Modeling

Behavior Genetics

Volumn 47, Issue 3, 2017, Pages 345-359

  Verhulst, Brad ^a   Maes, Hermine H ^a   Neale, Michael C ^a  

^a VIRGINIA COMMONWEALTH UNIVERSITY   (United States)

Author keywords

Diagonally weighted least squares; DWLS; Genetics; Genome wide association study; GWAS; SEM; Structural equation modeling

Indexed keywords

BEHAVIOR GENETICS; DISABLED PERSON; GENE MUTATION; GENOME-WIDE ASSOCIATION STUDY; HUMAN; LEAST SQUARE ANALYSIS; MAXIMUM LIKELIHOOD METHOD; PHENOTYPE; POWER ANALYSIS; SIMULATION; SINGLE NUCLEOTIDE POLYMORPHISM; SOFTWARE; STATISTICAL SIGNIFICANCE; STOCHASTIC MODEL; STRUCTURAL EQUATION MODELING; THEORETICAL MODEL; BIOLOGICAL MODEL; COMPUTER SIMULATION; PROCEDURES;

COMPUTER SIMULATION; GENOME-WIDE ASSOCIATION STUDY; HUMANS; LEAST-SQUARES ANALYSIS; MODELS, GENETIC; POLYMORPHISM, SINGLE NUCLEOTIDE; SOFTWARE;

EID: 85015232368     PISSN: 00018244     EISSN: 15733297     Source Type: Journal    
DOI: 10.1007/s10519-017-9842-6     Document Type: Article

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