| pubmed-article:6587361 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:6587361 | lifeskim:mentions | umls-concept:C0086418 | lld:lifeskim |
| pubmed-article:6587361 | lifeskim:mentions | umls-concept:C0679199 | lld:lifeskim |
| pubmed-article:6587361 | lifeskim:mentions | umls-concept:C0796345 | lld:lifeskim |
| pubmed-article:6587361 | pubmed:issue | 11 | lld:pubmed |
| pubmed-article:6587361 | pubmed:dateCreated | 1984-7-24 | lld:pubmed |
| pubmed-article:6587361 | pubmed:abstractText | The increasing number of DNA polymorphisms characterized in humans will soon allow the construction of fine genetic maps of human chromosomes. This advance calls for a reexamination of current methodologies for linkage analysis by the family method. We have investigated the relative efficiency of two-point and three-point linkage tests for the detection of linkage and the estimation of recombination in a variety of situations. This led us to develop the computer program LINKAGE to perform multilocus linkage analysis. The investigation also enables us to propose a method of location scores for the efficient detection of linkage between a disease locus, or a new genetic marker, and a linkage group previously established from a reference panel of families. The method is illustrated by an application to simulated pedigree data in a situation akin to Duchenne muscular dystrophy. These results show that considerable economy and efficiency can be brought to the mapping endeavor by resorting to appropriate strategies of detecting linkage and by constructing the human genetic map on a common reference panel of families. | lld:pubmed |
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| pubmed-article:6587361 | pubmed:language | eng | lld:pubmed |
| pubmed-article:6587361 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:6587361 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:6587361 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:6587361 | pubmed:month | Jun | lld:pubmed |
| pubmed-article:6587361 | pubmed:issn | 0027-8424 | lld:pubmed |
| pubmed-article:6587361 | pubmed:author | pubmed-author:OttJJ | lld:pubmed |
| pubmed-article:6587361 | pubmed:author | pubmed-author:LalouelJ MJM | lld:pubmed |
| pubmed-article:6587361 | pubmed:author | pubmed-author:JulienGG | lld:pubmed |
| pubmed-article:6587361 | pubmed:author | pubmed-author:LathropG MGM | lld:pubmed |
| pubmed-article:6587361 | pubmed:issnType | Print | lld:pubmed |
| pubmed-article:6587361 | pubmed:volume | 81 | lld:pubmed |
| pubmed-article:6587361 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:6587361 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:6587361 | pubmed:pagination | 3443-6 | lld:pubmed |
| pubmed-article:6587361 | pubmed:dateRevised | 2010-11-18 | lld:pubmed |
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| pubmed-article:6587361 | pubmed:year | 1984 | lld:pubmed |
| pubmed-article:6587361 | pubmed:articleTitle | Strategies for multilocus linkage analysis in humans. | lld:pubmed |
| pubmed-article:6587361 | pubmed:publicationType | Journal Article | lld:pubmed |
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