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

ABSTRACT: Improving the accuracy of phenotyping through the use of advanced psychometric tools will increase the power to find significant associations with genetic variants and expand the range of possible hypotheses that can be tested on a genome-wide scale. Multivariate methods, such as structural equation modeling (SEM), are valuable in the phenotypic analysis of psychiatric and substance use phenotypes, but these methods have not been integrated into standard genome-wide association analyses because fitting a SEM at each single nucleotide polymorphism (SNP) along the genome was hitherto considered to be too computationally demanding. By developing a method that can efficiently fit SEMs, it is possible to expand the set of models that can be tested. This is particularly necessary in psychiatric

SUBMITTER: Verhulst B 

PROVIDER: S-EPMC5423544 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature