Computing power of quantitative trait locus association mapping for haploid loci.
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.


CONCLUSIONS
Our results fill a need in power calculations for QTL mapping studies. Furthermore, failure to appropriately model haploid loci may cause underestimation of power.
Gordon
Derek
D
Department of Genetics, Rutgers University, 145 Bevier Road, Piscataway, NJ 08854, USA. gordon@biology.rutgers.edu
Zinn
Andrew R
AR
D002874:Chromosome Mapping / Q000379:methods*; D003198:Computer Simulation; D006238:Haploidy; D006801:Humans; D008297:Male; D040641:Quantitative Trait Loci
Am J Med Genet B Neuropsychiatr Genet. 2008 Jun 5;147B(4):507-9
17948898
Biotechnology (N Y). 1992 Jun;10(6):686-90
1368888
Genetics. 1999 Aug;152(4):1741-52
10430598
Lancet. 1959 Apr 4;1(7075):711-3
13642858
Behav Res Methods. 2007 May;39(2):175-91
17695343
Bioinformatics. 2003 Jan;19(1):149-50
12499305
C R Hebd Seances Acad Sci. 1963 Nov 18;257:3098-102
14095841