QTL Analysis 2 - Objectives and Overview
Quantitative trait locus (QTL) analysis is a methodology that combines DNA marker and phenotypic trait data to locate and characterize genes that influence quantitative traits. This is the second of a two-part series that describes the methods and uses of QTL analysis. If you have not yet reviewed the QTL Analysis I lesson, we recommend that you do so before beginning QTL Analysis II (this lesson).
Upon completing this lesson you should be able to:
- Compare three methods of QTL analysis: single-factor analysis of variance, simple interval mapping, and composite interval mapping.
- Understand the descriptors used to characterize QTL location and effects.
- Describe the uses of QTL information in genetics and breeding.
- Explain the limitations of QTL analysis.
Development of this lesson was supported in part by USDA Initiative for Future Agriculture and Food Systems (IFAFS) and the Cooperative State Research, Education, & Extension Service, U.S. Dept of Agriculture under Agreement Number 00-52100-9710. Any opinions, findings, conclusions or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the view of the U.S. Department of Agriculture.