R/qtlDesign: inbred line cross experimental design

Area of Science:

• Genetics
• Bioinformatics
• Statistical Genetics

Background:

• Planning quantitative trait locus (QTL) experiments involves critical decisions on strain selection, cross type, genotyping, and sample size.
• Optimizing experimental design is crucial for maximizing the information content and statistical power of genetic studies.

Purpose of the Study:

• To introduce R/qtlDesign, an interactive software tool for power and sample size calculations in QTL experiments.
• To provide researchers with a means to optimize experimental design choices under cost constraints.

Main Methods:

• Development of an interactive program, R/qtlDesign, for QTL experimental design.
• Inclusion of features for selective genotyping, variable marker spacing, and optimization for different cross types (backcross, intercross, recombinant inbred lines).
• Analysis of the impact of design choices on variance components and effective sample size.

Main Results:

• R/qtlDesign offers support for various genotyping strategies and cross designs.
• The software helps in balancing information content with cost constraints.
• Demonstration of software utility through real-life examples.

Conclusions:

• R/qtlDesign facilitates informed decision-making in QTL experimental planning.
• The software enhances the efficiency and power of genetic studies by optimizing design parameters.
• Accessible software promotes better experimental design in quantitative trait locus research.