Abstract
This paper presents a recursive algorithm to approximate the likelihood in arbitrary pedigrees with loops. The algorithm handles any number and nesting levels of loops in pedigrees. The loops are cut as described in a previous publication and the approximate likelihood is simultaneously computed using the cut pedigree. No identification of a loop in the pedigree is necessary before the algorithm is applied.
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Communicated by E. J. Eisen
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Stricker, C., Fernando, R.L. & Elston, R.C. An algorithm to approximate the likelihood for pedigree data with loops by cutting. Theoret. Appl. Genetics 91, 1054–1063 (1995). https://doi.org/10.1007/BF00223919
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DOI: https://doi.org/10.1007/BF00223919