Genetic path modeling using genomic structural equation modeling


The ability to model complex and multivariate relationships between variables and indicators has been the enduring allure of structural equation modeling (SEM). Our tool genomic structural equation model offers the same... [ view full abstract ]


  1. Michel Nivard (Department of Biological Psychology, VU University)
  2. Andrew Grotzinger (University of Texas at Austin)
  3. Hill Ip (Department of Biological Psychology, VU University)
  4. Elliot Tucker-Drob (University of Texas at Austin)
  5. Dorret I Boomsma (Vrije Universiteit Amsterdam)

Topic Areas

Cognition: Education, Intelligence, Memory, Attention , Psychopathology (e.g., Internalizing, Externalizing, Psychosis) , Statistical Methods


SY-5A » Genomic Structural Equation Modeling Provides Insights into the Multivariate Genetic Architecture of Complex Traits (10:30 - Friday, 22nd June, Auditorium)

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