QTL for natural populations
The main objective of this project was to develop statistical methodology to detect DNA sequence associated with quantitative phenotypes in natural populations. We adapted the coalescent model algorithm to allow for realistic genome wide simulations. This involved substantial algorithm modification, and translated the algorithm from exponential to a linear growth in the number of markers. This simulation program can be downloaded here.
Chris Willmore was an undergraduate working on a GUI interface to the simulator.
Publications supported by this project:
- Simonsen, K.L. and McIntyre, L.M. 2004. Using alpha wisely: Improving power to detect multiple QTL. Statistical Applications in Genetics and Molecular Biology 3: Article 1.
Software: Unix and Windows
This publication has already been accessed 400 times since appearing online in January of this year.- Verhoeven, K.J.F. and Simonsen, K. 2005. Genomic haplotype blocks may not accurately reflect spatial variation in historic recombination intensity. Molecular Biology and Evolution. 22: 735-740.
- Verhoeven K.J.F., K. Simonsen and McIntyre, L.M. 2005. Implementing false discovery rate control: increasing your power. OIKOS 108: 643-647.
- Verhoeven K.J.F., Jean-Luc Jannink, and McIntyre, L.M. 2006. Using mating designs to uncover QTL and the genetic architecture of complex traits. Heredity 96: 139-149.
Get the tabulatorIf you have questions, contact Katy Simonsen at simonsen at bms.com or Lauren McIntyre mcintyre at ufl.edu