Software
Computing power of quantitative trait locus association mapping for haploid loci
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* Corresponding author: Derek Gordon gordon@biology.rutgers.edu
1 Department of Genetics, Rutgers University, 145 Bevier Road, Piscataway, NJ 08854, USA
2 McDermott Center for Human Growth and Development, University of Texas Southwestern Medical School, 5323 Harry Hines Blvd, Dallas, TX 75390-8591, USA
BMC Bioinformatics 2009, 10:261 doi:10.1186/1471-2105-10-261
Published: 23 August 2009Abstract
Background
Statistical power calculations are a critical part of any study design for gene mapping. Most calculations assume that the locus of interest is biallelic. However, there are common situations in human genetics such as X-linked loci in males where the locus is haploid. The purpose of this work is to mathematically derive the biometric model for haploid loci, and to compute power for QTL mapping when the loci are haploid.
Results
We have derived the biometric model for power calculations for haploid loci and have developed software to perform these calculations. We have verified our calculations with independent mathematical methods.
Conclusion
Our results fill a need in power calculations for QTL mapping studies. Furthermore, failure to appropriately model haploid loci may cause underestimation of power.