Source:http://linkedlifedata.com/resource/pubmed/id/11055376
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rdf:type | |
lifeskim:mentions | |
pubmed:dateCreated |
2001-1-11
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pubmed:abstractText |
The popularity of "non-parametric" linkage analysis using moderate and large sized pedigrees has increased in the last few years. Only a few of the existing allele-sharing statistics are applicable to general pedigrees, and even fewer are in common use. Little research has been done to compare the power of these statistics. We present some preliminary investigations into the power of the most popular general-pedigree allele-sharing statistics. We show that there are indeed non-trivial differences among the statistics, and that further studies are warranted. In particular, pedigree structure and the degree of recessiveness of the trait appear to be critical factors in determining which statistics are most powerful.
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pubmed:grant | |
pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:issn |
0741-0395
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
19 Suppl 1
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
S92-8
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pubmed:dateRevised |
2007-11-15
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pubmed:meshHeading |
pubmed-meshheading:11055376-Alleles,
pubmed-meshheading:11055376-Computer Simulation,
pubmed-meshheading:11055376-Humans,
pubmed-meshheading:11055376-Models, Genetic,
pubmed-meshheading:11055376-Models, Statistical,
pubmed-meshheading:11055376-Pedigree,
pubmed-meshheading:11055376-Statistics as Topic
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pubmed:year |
2000
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pubmed:articleTitle |
Comparison of allele-sharing statistics for general pedigrees.
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pubmed:affiliation |
Department of Human Genetics, University of Pittsburgh, Graduate School of Public Health, Pennsylvania 15261, USA. feingold@pitt.edu
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pubmed:publicationType |
Journal Article,
Comparative Study,
Research Support, U.S. Gov't, P.H.S.
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