PROC QTL

PROC QTL performs quantitative trait loci (QTL) mapping within the SAS environment to identify genetic loci associated with continuous and discrete traits.

Key Features:

• SAS procedure: Operates as a user-defined procedure within SAS, integrating into the SAS statistical analysis framework.
• Trait support: Maps QTLs for both continuous and discrete traits.
• Experimental designs: Supports various line crossing experiments for genetic analysis.
• Statistical methods: Implements multiple estimation approaches including maximum likelihood (ML), least squares (LS), iteratively reweighted least squares (IRLS), Fisher scoring (FISHER), Bayesian (BAYES), and empirical Bayes (EBAYES).
• Data and graphics: Leverages SAS data management and graphical capabilities for analysis and visualization.

Scientific Applications:

• QTL identification: Detection and localization of genetic loci underlying quantitative traits.
• Genetic architecture analysis: Investigation of complex trait architecture using line crossing experimental designs.
• Method comparison: Evaluation of ML, LS, IRLS, Fisher scoring, Bayesian, and empirical Bayes approaches for QTL inference across different experimental designs and data characteristics.

Methodology:

Implements maximum likelihood (ML), least squares (LS), iteratively reweighted least squares (IRLS), Fisher scoring (FISHER), Bayesian (BAYES), and empirical Bayes (EBAYES) methods for QTL mapping within SAS.