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


ABSTRACT: 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.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.Our results fill a need in power calculations for QTL mapping studies. Furthermore, failure to appropriately model haploid loci may cause underestimation of power.

SUBMITTER: Gordon D 

PROVIDER: S-EPMC2738682 | biostudies-literature | 2009 Aug

REPOSITORIES: biostudies-literature

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

Gordon Derek D   Zinn Andrew R AR  

BMC bioinformatics 20090823


<h4>Background</h4>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.<h4>Results</h4>We have derived the biometric model for po  ...[more]

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