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BMCBI
2006

Comparative analysis of haplotype association mapping algorithms

10 years 4 months ago
Comparative analysis of haplotype association mapping algorithms
Background: Finding the genetic causes of quantitative traits is a complex and difficult task. Classical methods for mapping quantitative trail loci (QTL) in miceuse an F2 cross between two strains with substantially different phenotype and an interval mapping method to compute confidence intervals at each position in the genome. This process requires significant resources for breeding and genotyping, and the data generated are usually only applicable to one phenotype of interest. Recently, we reported the application of a haplotype association mapping method which utilizes dense genotyping data across a diverse panel of inbred mouse strains and a marker association algorithm that is independent of any specific phenotype. As the availability of genotyping data grows in size and density, analysis of these haplotype association mapping methods should be of increasing value to the statistical genetics community. Results: We describe a detailed comparative analysis of variations on our ma...
Phillip McClurg, Mathew T. Pletcher, Tim Wiltshire
Added 10 Dec 2010
Updated 10 Dec 2010
Type Journal
Year 2006
Where BMCBI
Authors Phillip McClurg, Mathew T. Pletcher, Tim Wiltshire, Andrew I. Su
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