Computing power of quantitative trait locus association mapping for haploid loci

Derek Gordon, Andrew R. Zinn

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish (US)
Article number261
JournalBMC Bioinformatics
Volume10
DOIs
StatePublished - Aug 23 2009

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Quantitative Trait Loci
Haploidy
Locus
Computing
Biometrics
Chromosome Mapping
Medical Genetics
Statistical Power
Software
Genes
Model
Gene

ASJC Scopus subject areas

  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Structural Biology
  • Applied Mathematics

Cite this

Computing power of quantitative trait locus association mapping for haploid loci. / Gordon, Derek; Zinn, Andrew R.

In: BMC Bioinformatics, Vol. 10, 261, 23.08.2009.

Research output: Contribution to journalArticle

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