title: Multipoint mapping calculations for sperm-typing data.
abstract: This paper explains how multipoint likelihoods can be computed for sperm-typing data. Experimental errors such as multiple sperm per tube, inadequate amplification, and contamination by exogenous DNA are explicitly taken into account. By limiting the number of sperm theoretically possible per tube to a predetermined maximum and by assuming no chiasma interference, maximum-likelihood estimation can be carried out rapidly using the theory of hidden Markov chains.
authors.affiliation: Department of Biostatistics, School of Public Health, University of California, Los Angeles.
authors.forename: L C
authors.initials: LC
authors.lastname: Lazzeroni
authors.forename: N
authors.initials: N
authors.lastname: Arnheim
authors.forename: K
authors.initials: K
authors.lastname: Schmitt
authors.forename: K
authors.initials: K
authors.lastname: Lange
mesh_terms: D000465:Algorithms; D002874:Chromosome Mapping / Q000379:methods*; D016172:DNA Fingerprinting; D008040:Genetic Linkage; D006801:Humans; D016013:Likelihood Functions; D008297:Male; D008390:Markov Chains; D008957:Models, Genetic; D011110:Polymorphism, Genetic; D011995:Recombination, Genetic; D012730:Sex Chromosomes / Q000502:physiology / Q000648:ultrastructure*; D012984:Software; D013094:Spermatozoa / Q000648:ultrastructure*