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Estimation of segregation and linkage parameters in simulated data. II: Simultaneous estimation with one linked marker
This study examined the method of simultaneous estimation of recombination frequency and parameters for a qualitative trait locus and compared the results with those of standard methods of linkage analysis. With both approaches we were able to detect linkage of an incompletely penetrant qualitative...
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Published in: | American journal of human genetics 1989-07, Vol.45 (1), p.95-105 |
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creator | PRICE, R. A KRAMER, P. L PAULS, D. L KIDD, K. K |
description | This study examined the method of simultaneous estimation of recombination frequency and parameters for a qualitative trait locus and compared the results with those of standard methods of linkage analysis. With both approaches we were able to detect linkage of an incompletely penetrant qualitative trait to highly polymorphic markers with recombination frequencies in the range of .00-.05. Our results suggest that detecting linkage at larger recombination frequencies may require larger data sets or large high-density families. When applied to all families without regard to informativeness of the family structure for linkage, analyses of simulated data could detect no advantage of simultaneous estimation over more traditional and much less time-consuming methods, either in detecting linkage, estimating frequency, refining estimates of parameters for the qualitative trait locus, or avoiding false evidence for linkage. However, the method of sampling affected results. |
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When applied to all families without regard to informativeness of the family structure for linkage, analyses of simulated data could detect no advantage of simultaneous estimation over more traditional and much less time-consuming methods, either in detecting linkage, estimating frequency, refining estimates of parameters for the qualitative trait locus, or avoiding false evidence for linkage. However, the method of sampling affected results.</description><identifier>ISSN: 0002-9297</identifier><identifier>EISSN: 1537-6605</identifier><identifier>PMID: 2741954</identifier><identifier>CODEN: AJHGAG</identifier><language>eng</language><publisher>Chicago, IL: University of Chicago Press</publisher><subject>Alleles ; Biological and medical sciences ; Classical genetics, quantitative genetics, hybrids ; Fundamental and applied biological sciences. Psychology ; Gene Frequency ; Genetic Linkage ; Genetics of eukaryotes. Biological and molecular evolution ; Genetics, Medical ; Humans ; Methods, theories and miscellaneous ; Models, Genetic ; Recombination, Genetic</subject><ispartof>American journal of human genetics, 1989-07, Vol.45 (1), p.95-105</ispartof><rights>1990 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC1683382/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC1683382/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,53791,53793</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=6777094$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/2741954$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>PRICE, R. A</creatorcontrib><creatorcontrib>KRAMER, P. L</creatorcontrib><creatorcontrib>PAULS, D. L</creatorcontrib><creatorcontrib>KIDD, K. K</creatorcontrib><title>Estimation of segregation and linkage parameters in simulated data. II: Simultaneous estimation with one linked marker</title><title>American journal of human genetics</title><addtitle>Am J Hum Genet</addtitle><description>This study examined the method of simultaneous estimation of recombination frequency and parameters for a qualitative trait locus and compared the results with those of standard methods of linkage analysis. With both approaches we were able to detect linkage of an incompletely penetrant qualitative trait to highly polymorphic markers with recombination frequencies in the range of .00-.05. Our results suggest that detecting linkage at larger recombination frequencies may require larger data sets or large high-density families. When applied to all families without regard to informativeness of the family structure for linkage, analyses of simulated data could detect no advantage of simultaneous estimation over more traditional and much less time-consuming methods, either in detecting linkage, estimating frequency, refining estimates of parameters for the qualitative trait locus, or avoiding false evidence for linkage. However, the method of sampling affected results.</description><subject>Alleles</subject><subject>Biological and medical sciences</subject><subject>Classical genetics, quantitative genetics, hybrids</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Gene Frequency</subject><subject>Genetic Linkage</subject><subject>Genetics of eukaryotes. Biological and molecular evolution</subject><subject>Genetics, Medical</subject><subject>Humans</subject><subject>Methods, theories and miscellaneous</subject><subject>Models, Genetic</subject><subject>Recombination, Genetic</subject><issn>0002-9297</issn><issn>1537-6605</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1989</creationdate><recordtype>article</recordtype><recordid>eNqFkU9Lw0AQxYMotVY_grAH8RbZP9kk60EQqVooeFDPYbK7Sdcmm7q7rfjtTW2oevI0zLyZH-8xB9GYcJbFaYr5YTTGGNNYUJEdRyfev2FMSI7ZKBrRLCGCJ-NoM_XBtBBMZ1FXIa9rp-tdC1ahxtgl1BqtwEGrg3YeGYu8adcNBK2QggBXaDa7Rs_bWQCru7VH-gf6YcICdVZ_o_qLFtxSu9PoqILG67OhTqLX--nL3WM8f3qY3d3O4xVlaehjyJJXDJeUVgBARKKIxBS40pSppKICc0k5ByiVykVOEy55mUtVVljSVLJJdLPjrtZlq5XUNjhoipXr7bnPogNT_FWsWRR1tylImjOW0x5wOQBc977ucxWt8VI3zS5pkQksCKXs30XCeSoyviWe_7a09zK8pNcvBh28hKZyYKXx-7U0yzIsEvYFsVGZPQ</recordid><startdate>19890701</startdate><enddate>19890701</enddate><creator>PRICE, R. A</creator><creator>KRAMER, P. L</creator><creator>PAULS, D. L</creator><creator>KIDD, K. K</creator><general>University of Chicago Press</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>19890701</creationdate><title>Estimation of segregation and linkage parameters in simulated data. II: Simultaneous estimation with one linked marker</title><author>PRICE, R. A ; KRAMER, P. L ; PAULS, D. L ; KIDD, K. K</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p236t-66cb5f30b22faaa194d1c02a5de23d4f2905c255aabdd898245c5b8cdbf0c26c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1989</creationdate><topic>Alleles</topic><topic>Biological and medical sciences</topic><topic>Classical genetics, quantitative genetics, hybrids</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Gene Frequency</topic><topic>Genetic Linkage</topic><topic>Genetics of eukaryotes. Biological and molecular evolution</topic><topic>Genetics, Medical</topic><topic>Humans</topic><topic>Methods, theories and miscellaneous</topic><topic>Models, Genetic</topic><topic>Recombination, Genetic</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>PRICE, R. A</creatorcontrib><creatorcontrib>KRAMER, P. L</creatorcontrib><creatorcontrib>PAULS, D. L</creatorcontrib><creatorcontrib>KIDD, K. K</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>American journal of human genetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>PRICE, R. A</au><au>KRAMER, P. L</au><au>PAULS, D. L</au><au>KIDD, K. K</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimation of segregation and linkage parameters in simulated data. II: Simultaneous estimation with one linked marker</atitle><jtitle>American journal of human genetics</jtitle><addtitle>Am J Hum Genet</addtitle><date>1989-07-01</date><risdate>1989</risdate><volume>45</volume><issue>1</issue><spage>95</spage><epage>105</epage><pages>95-105</pages><issn>0002-9297</issn><eissn>1537-6605</eissn><coden>AJHGAG</coden><abstract>This study examined the method of simultaneous estimation of recombination frequency and parameters for a qualitative trait locus and compared the results with those of standard methods of linkage analysis. With both approaches we were able to detect linkage of an incompletely penetrant qualitative trait to highly polymorphic markers with recombination frequencies in the range of .00-.05. Our results suggest that detecting linkage at larger recombination frequencies may require larger data sets or large high-density families. When applied to all families without regard to informativeness of the family structure for linkage, analyses of simulated data could detect no advantage of simultaneous estimation over more traditional and much less time-consuming methods, either in detecting linkage, estimating frequency, refining estimates of parameters for the qualitative trait locus, or avoiding false evidence for linkage. However, the method of sampling affected results.</abstract><cop>Chicago, IL</cop><pub>University of Chicago Press</pub><pmid>2741954</pmid><tpages>11</tpages></addata></record> |
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subjects | Alleles Biological and medical sciences Classical genetics, quantitative genetics, hybrids Fundamental and applied biological sciences. Psychology Gene Frequency Genetic Linkage Genetics of eukaryotes. Biological and molecular evolution Genetics, Medical Humans Methods, theories and miscellaneous Models, Genetic Recombination, Genetic |
title | Estimation of segregation and linkage parameters in simulated data. II: Simultaneous estimation with one linked marker |
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