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. The QTL Analysis 1 lesson discussed the basic concepts involved, population development, and phenotypic and marker evaluation. This lesson covers data analysis and interpretation of QTL studies. Students completing this lesson 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. A bank of quiz questions targeting these objectives is a part of the lesson. The lesson is designed to meet the educational needs of beginning graduate students, upper level undergraduates, and advanced extension audiences.
No takes yet. Share an insight, caveat, or question.
Patrick F. Byrne (2005) studied this question.