Abstract

Statistical analysis system (SAS) is the most comprehensive statistical analysis software package in the world. It offers data analysis for almost all experiments under various statistical models. Each analysis is performed using a particular subroutine, called a procedure (PROC). For example, PROC ANOVA performs analysis of variances. PROC QTL is a user-defined SAS procedure for mapping quantitative trait loci (QTL). It allows users to perform QTL mapping for continuous and discrete traits within the SAS platform. Users of PROC QTL are able to take advantage of all existing features offered by the general SAS software, for example, data management and graphical treatment. The current version of PROC QTL can perform QTL mapping for all line crossing experiments using maximum likelihood (ML), least square (LS), iteratively reweighted least square (IRLS), Fisher scoring (FISHER), Bayesian (BAYES), and empirical Bayes (EBAYES) methods.

Highlights

  • The discovery of genes that contribute to the expression of complex traits is one of the fundamental and essential tasks in genetic research

  • We report a new software package called “PROC quantitative trait loci (QTL)” that was recently developed by the Quantitative Genetics Group at UC Riverside

  • PROC QTL was coded in C++ and the interface with the Statistical analysis system (SAS) system was conducted using the SAS/Toolkit software [12]

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Summary

Introduction

The discovery of genes that contribute to the expression of complex traits is one of the fundamental and essential tasks in genetic research. A larger number of computer programs are available to implement these methods These programs have significantly simplified the applications of the methods to the downstream genetic research. Each of the aforementioned programs was developed targeting on one or a few jobs These programs were designed by different programmers, and they usually require users to provide data in very restricted formats. We report a new software package called “PROC QTL” that was recently developed by the Quantitative Genetics Group at UC Riverside. This software package can perform QTL mapping in almost all line crossing experiments for both quantitative and categorical traits

Features
Methods and Algorithms
Implementation
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