Fitting Structural Equation Models to GWAS-Derived Genetic Covariance Matrices


Genome-wide association studies (GWASs) are rapidly identifying loci affecting multiple phenotypes. Moreover, using cross-trait versions of methods such as genomic-relatedness-based restricted maximum-likelihood (GREML) and... [ view full abstract ]


  1. Elliot Tucker-Drob (University of Texas at Austin)
  2. Andrew Grotzinger (University of Texas at Austin)
  3. Michel Nivard (Department of Biological Psychology, VU University)

Topic Area

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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