2301392

Source:http://linkedlifedata.com/resource/pubmed/id/2301392

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0023745, umls-concept:C0026336, umls-concept:C0026339, umls-concept:C0439855, umls-concept:C0599883, umls-concept:C0679199
pubmed:issue	2
pubmed:dateCreated	1990-3-12
pubmed:abstractText	In order to investigate linkage detection strategies for genetically complex traits, multilocus models of inheritance need to be specified. Here, two types of multilocus model are described: (1) a multiplicative model, representing epistasis (interaction) among loci, and (2) an additive model, which is shown to closely approximate genetic heterogeneity, which is characterized by no interlocus interaction. A ratio lambda R of risk for type R relatives that is compared with population prevalence is defined. For a single-locus model, lambda R - 1 decreases by a factor of two with each degree of relationship. The same holds true for an additive multilocus model. For a multiplicative (epistasis) model, lambda R - 1 decreases more rapidly than by a factor of two with degree of relationship. Examination of lambda R values for various classes of relatives can potentially suggest the presence of multiple loci and epistasis. For example, data for schizophrenia suggest multiple loci in interaction. It is shown in the second paper of this series that lambda R is the critical parameter in determining power to detect linkage by using affected relative pairs.
pubmed:grant	http://linkedlifedata.com/resource/pubmed/grant/GM39812
pubmed:commentsCorrections	http://linkedlifedata.com/resource/pubmed/commentcorrection/2301392-10848498, http://linkedlifedata.com/resource/pubmed/commentcorrection/2301392-17247344, http://linkedlifedata.com/resource/pubmed/commentcorrection/2301392-2405655, http://linkedlifedata.com/resource/pubmed/commentcorrection/2301392-3019132, http://linkedlifedata.com/resource/pubmed/commentcorrection/2301392-3422543, http://linkedlifedata.com/resource/pubmed/commentcorrection/2301392-5106369, http://linkedlifedata.com/resource/pubmed/commentcorrection/2301392-6650500, http://linkedlifedata.com/resource/pubmed/commentcorrection/2301392-6667223, http://linkedlifedata.com/resource/pubmed/commentcorrection/2301392-686687, http://linkedlifedata.com/resource/pubmed/commentcorrection/2301392-6941695, http://linkedlifedata.com/resource/pubmed/commentcorrection/2301392-968896
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/0370475
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Feb
pubmed:issn	0002-9297
pubmed:author	pubmed-author:RischNN
pubmed:issnType	Print
pubmed:volume	46
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	222-8
pubmed:dateRevised	2010-11-18
pubmed:meshHeading	pubmed-meshheading:2301392-Genetic Linkage, pubmed-meshheading:2301392-Genetics, Medical, pubmed-meshheading:2301392-Humans, pubmed-meshheading:2301392-Mathematics, pubmed-meshheading:2301392-Models, Genetic, pubmed-meshheading:2301392-Models, Statistical, pubmed-meshheading:2301392-Schizophrenia
pubmed:year	1990
pubmed:articleTitle	Linkage strategies for genetically complex traits. I. Multilocus models.
pubmed:affiliation	Department of Epidemiology and Public Health, Yale University School of Medicine, New Haven, CT 06510.
pubmed:publicationType	Journal Article, Research Support, U.S. Gov't, P.H.S.