Strategies for multilocus linkage analysis in humans.

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چکیده

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Strategies for multilocus linkage analysis in humans.

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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 155,5...

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Construction of multilocus genetic linkage maps in humans.

Human genetic linkage maps are most accurately constructed by using information from many loci simultaneously. Traditional methods for such multilocus linkage analysis are computationally prohibitive in general, even with supercomputers. The problem has acquired practical importance because of the current international collaboration aimed at constructing a complete human linkage map of DNA mark...

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Multilocus linkage analysis of affected sib pairs.

OBJECTIVE The conventional affected sib pair methods evaluate the linkage information at a locus by considering only marginal information. We describe a multilocus linkage method that uses both the marginal information and information derived from the possible interactions among several disease loci, thereby increasing the significance of loci with modest effects. METHODS Our method is based ...

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ژورنال

عنوان ژورنال: Proceedings of the National Academy of Sciences

سال: 1984

ISSN: 0027-8424,1091-6490

DOI: 10.1073/pnas.81.11.3443