Linked Life Data

7896116

Source:http://linkedlifedata.com/resource/pubmed/id/7896116

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
1995-4-26
pubmed:abstractText
Mutations resulting in segregating sites of a sample of DNA sequences can be classified by size and type and the frequencies of mutations of different sizes and types can be inferred from the sample. A framework for estimating the essential parameter theta = 4Nu utilizing the frequencies of mutations of various sizes and types is developed in this paper, where N is the effective size of a population and mu is mutation rate per sequence per generation. The framework is a combination of coalescent theory, general linear model and Monte-Carlo integration, which leads to two new estimators theta xi and theta eta as well as a general Watterson's estimator theta K and a general Tajima's estimator theta tau. The greatest strength of the framework is that it can be used under a variety of population models. The properties of the framework and the four estimators theta K, theta tau, theta xi and theta eta are investigated under three important population models: the neutral Wright-Fisher model, the neutral model with recombination and the neutral Wright's finite-islands model. Under all these models, it is shown that theta xi is the best estimator among the four even when recombination rate or migration rate has to be estimated. Under the neutral Wright-Fisher model, it is shown that the new estimator theta xi has a variance close to a lower bound of variances of all unbiased estimators of theta which suggests that theta xi is a very efficient estimator.
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
0016-6731
pubmed:author
pubmed:issnType
Print
pubmed:volume
138
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1375-86
pubmed:dateRevised
2009-11-18
pubmed:meshHeading
pubmed:year
1994
pubmed:articleTitle
Estimating effective population size or mutation rate using the frequencies of mutations of various classes in a sample of DNA sequences.
pubmed:affiliation
Center for Demographic and Population Genetics, University of Texas, Houston 77225.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S.