We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Comparative analysis of haplotype association mapping algorithms.
- Authors
McClurg, Phillip; Pletcher, Mathew T; Wiltshire, Tim; Su, Andrew I
- Abstract
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.
- Publication
BMC bioinformatics, 2006, Vol 7, p61
- ISSN
1471-2105
- Publication type
Journal Article
- DOI
10.1186/1471-2105-7-61