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PROC QTL-A SAS Procedure for Mapping Quantitative Trait Loci.

Zhiqiu Hu1, Shizhong Xu

  • 1Department of Botany and Plant Sciences, University of California, Riverside, CA 92521, USA.

International Journal of Plant Genomics
|December 29, 2009
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Summary

PROC QTL is a SAS procedure for quantitative trait loci (QTL) mapping. It enables comprehensive QTL analysis for various traits and experiments within the SAS platform, utilizing multiple statistical methods.

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Area of Science:

  • Genetics
  • Statistical Software
  • Bioinformatics

Background:

  • Statistical analysis system (SAS) is a leading software for comprehensive data analysis.
  • Quantitative trait loci (QTL) mapping is crucial for understanding genetic contributions to complex traits.
  • Existing SAS procedures offer broad statistical modeling capabilities.

Purpose of the Study:

  • To introduce PROC QTL, a user-defined SAS procedure for quantitative trait loci (QTL) mapping.
  • To enable users to perform QTL analysis for continuous and discrete traits within the SAS environment.
  • To leverage existing SAS features for enhanced data management and graphical treatment in QTL mapping.

Main Methods:

  • PROC QTL is a user-defined subroutine within the SAS platform.
  • It supports QTL mapping for all line crossing experiments.
  • Employs multiple statistical methodologies including Maximum Likelihood (ML), Least Square (LS), Iteratively Reweighted Least Square (IRLS), Fisher Scoring (FISHER), Bayesian (BAYES), and Empirical Bayes (EBAYES).

Main Results:

  • PROC QTL integrates seamlessly with the SAS software.
  • Facilitates data management and graphical presentation for QTL mapping studies.
  • Provides a versatile tool for analyzing various types of traits and experimental designs.

Conclusions:

  • PROC QTL enhances the capabilities of SAS for genetic research.
  • Offers a powerful and integrated solution for quantitative trait loci (QTL) mapping.
  • Empowers researchers to conduct advanced genetic analyses efficiently within a single software package.