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. 1994 Nov 22;91(24):11684-8.
doi: 10.1073/pnas.91.24.11684.

Sequential imputation for multilocus linkage analysis

M Irwin  1 , N Cox, A Kong
Affiliations

Sequential imputation for multilocus linkage analysis

M Irwin et al. Proc Natl Acad Sci U S A. .

Abstract

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.

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