Sequential imputation for multilocus linkage analysis.
AUTOR(ES)
Irwin, M
RESUMO
A Monte Carlo method called sequential imputation is proposed for multilocus likelihood computations. This method is most useful in mapping situations where the data consist of large pedigrees with substantial missing information and it is desirable to perform linkage analysis utilizing data from many polymorphic markers simultaneously. A pedigree example with 155 individuals, 9 loci, and 155,520 haplotypes is used for illustration.
ACESSO AO ARTIGO
http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=45296Documentos Relacionados
- Strategies for multilocus linkage analysis in humans.
- Computer-simulation methods in human linkage analysis.
- Giemsa banding of chromosome 1gh+ and linkage analysis.
- X linked exudative vitreoretinopathy: clinical features and genetic linkage analysis.
- Linkage Analysis of the Multilocus Glucosephosphate Isomerase Isozyme System in Sunfish (Centrarchidae, Teleostii)