ABSTRACT A spin model with parallels to a multi-locus genetic model is presented which makes it possible to calculate the correlation between allelic states at any two loci in a population at equilibrium. The main features are: (1) The decay of correlation with distance may be expressed essentially as a linear combination of two exponentials, one of which dominates when the two loci are sufficiently far apart. (2) The correlation between two loci a specified distance apart is increased as the number of loci in the entire system increases. The results are compared with those of other theoretical models and discussed in the light of available experimental data. Possible ways of generalizing the model are outlined. However, additional experimental data is clearly needed to indicate the genetic relevance of work of this nature.
Research Articles| February 10 1992 Multilocus mapping strategies on chromosome 21 data sets: Comparison of results from family data, radiation hybrids, and somatic cell hybrids Subject Area: Genetics C.T. Falk C.T. Falk The New York Blood Center, New York, NY (USA) Search for other works by this author on: This Site PubMed Google Scholar Cytogenetics and Cell Genetics (1992) 59 (2-3): 119–121. https://doi.org/10.1159/000133220 Article history Published Online: February 10 1992 Content Tools Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Facebook Twitter LinkedIn Email Tools Icon Tools Get Permissions Cite Icon Cite Search Site Citation C.T. Falk; Multilocus mapping strategies on chromosome 21 data sets: Comparison of results from family data, radiation hybrids, and somatic cell hybrids. Cytogenetics and Cell Genetics 31 December 1992; 59 (2-3): 119–121. https://doi.org/10.1159/000133220 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsCytogenetic and Genome Research Search Advanced Search Article PDF first page preview Close Modal This content is only available via PDF. 1992Copyright / Drug Dosage / DisclaimerCopyright: All rights reserved. No part of this publication may be translated into other languages, reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording, microcopying, or by any information storage and retrieval system, without permission in writing from the publisher.Drug Dosage: The authors and the publisher have exerted every effort to ensure that drug selection and dosage set forth in this text are in accord with current recommendations and practice at the time of publication. However, in view of ongoing research, changes in government regulations, and the constant flow of information relating to drug therapy and drug reactions, the reader is urged to check the package insert for each drug for any changes in indications and dosage and for added warnings and precautions. This is particularly important when the recommended agent is a new and/or infrequently employed drug.Disclaimer: The statements, opinions and data contained in this publication are solely those of the individual authors and contributors and not of the publishers and the editor(s). The appearance of advertisements or/and product references in the publication is not a warranty, endorsement, or approval of the products or services advertised or of their effectiveness, quality or safety. The publisher and the editor(s) disclaim responsibility for any injury to persons or property resulting from any ideas, methods, instructions or products referred to in the content or advertisements. You do not currently have access to this content.
This work approaches human chromosome mapping by developing algorithms for ordering markers associated with radiation hybrid data. Motivated by the recent work of Boehnke, Lange, and Cox [Am. J. Hum. Genet. 49, 1174 (1991)], we formulate the ordering problem by developing stochastic spin models to search for minimum-break marker configurations. In one particular application, the methods developed are applied to 14 human chromosome-21 markers tested by Cox et al. [Science 250, 245 (1990)]. The methods generate configurations consistent with the best ones found by others. Additionally, we find that the set of low-lying configurations is described by a Markov-like ordering probability distribution. The distribution displays cluster correlations reflecting closely linked loci.
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