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rdf:type |
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lifeskim:mentions |
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pubmed:issue |
1
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pubmed:dateCreated |
2004-3-15
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pubmed:abstractText |
Microsatellites are short tandem repeats that are widely dispersed among eukaryotic genomes. Many of them are highly polymorphic; they have been used widely in genetic studies. Statistical properties of all measures of genetic variation at microsatellites critically depend upon the composite parameter theta = 4Nmicro, where N is the effective population size and micro is mutation rate per locus per generation. Since mutation leads to expansion or contraction of a repeat number in a stepwise fashion, the stepwise mutation model has been widely used to study the dynamics of these loci. We developed an estimator of theta, theta; (F), on the basis of sample homozygosity under the single-step stepwise mutation model. The estimator is unbiased and is much more efficient than the variance-based estimator under the single-step stepwise mutation model. It also has smaller bias and mean square error (MSE) than the variance-based estimator when the mutation follows the multistep generalized stepwise mutation model. Compared with the maximum-likelihood estimator theta; (L) by, theta; (F) has less bias and smaller MSE in general. theta; (L) has a slight advantage when theta is small, but in such a situation the bias in theta; (L) may be more of a concern.
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pubmed:grant |
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pubmed:commentsCorrections |
http://linkedlifedata.com/resource/pubmed/commentcorrection/15020444-10486972,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15020444-10592274,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15020444-1132689,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15020444-1776656,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15020444-4777279,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15020444-488708,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15020444-8159720,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15020444-8162067,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15020444-8349120,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15020444-8400689,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15020444-8401493,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15020444-8524801,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15020444-8722803,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15020444-9000494,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15020444-9023379,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15020444-9178018,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15020444-9725863
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
Jan
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pubmed:issn |
0016-6731
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pubmed:author |
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pubmed:issnType |
Print
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pubmed:volume |
166
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
555-63
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pubmed:dateRevised |
2009-11-18
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pubmed:meshHeading |
pubmed-meshheading:15020444-Alleles,
pubmed-meshheading:15020444-Biometry,
pubmed-meshheading:15020444-Databases, Genetic,
pubmed-meshheading:15020444-Gene Frequency,
pubmed-meshheading:15020444-Humans,
pubmed-meshheading:15020444-Likelihood Functions,
pubmed-meshheading:15020444-Microsatellite Repeats,
pubmed-meshheading:15020444-Models, Genetic,
pubmed-meshheading:15020444-Mutation,
pubmed-meshheading:15020444-Population Density
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pubmed:year |
2004
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pubmed:articleTitle |
Estimating effective population size or mutation rate with microsatellites.
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pubmed:affiliation |
Human Genetics Center, University of Texas, Houston, Texas 77030, USA.
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pubmed:publicationType |
Journal Article,
Comparative Study,
Research Support, U.S. Gov't, P.H.S.
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