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An algorithm to approximate the likelihood for pedigree data with loops by cutting
C Stricker1, R L Fernando, R C Elston
1Department of Biometry and Genetics and the Center for Molecular and Human Genetics, Louisiana State University, Medical Center, 1901 Perdido Street, 70112-1393, New Orleans, USA.
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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