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Sequential imputation for multilocus linkage analysis.

Irwin M, Cox N, Kong A
Proc Natl Acad Sci U S A. 1994 91 (24): 11684-8

PMID: 7972124 · PMCID: PMC45296 · DOI:10.1073/pnas.91.24.11684

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.

MeSH Terms (8)

Diabetes Mellitus, Type 2 Female Genetic Linkage Humans Likelihood Functions Male Monte Carlo Method Pedigree

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