Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2006-10-9
pubmed:abstractText
Measuring the information content of markers in relationship/relatedness inferences is important in selecting highly informative markers to attain a given statistical power with the minimal genotyping effort. Using information-theoretic principles, I introduce the informativeness for relationship (I(R)) and the informativeness for relatedness (I(r)) to measure the amount of information provided by markers in inferring pairwise relationships (R) and relatedness (r), respectively. I also propose a fast and accurate algorithm to calculate the power (PW(R)) of a set of markers in differentiating two candidate relationships, and the reciprocal of the mean squared deviations of relatedness estimates (RMSD) to measure the amount of information of markers actually used by an estimator in estimating relatedness. All of the four measurements (I(R), I(r), PW(R), RMSD) apply to dominant and codominant markers, haploid and diploid individuals, and take into account of mutations and typing errors in data. The statistical properties of the four measurements and their relationships are investigated analytically and are examined by applying these methods to simulated and empirical data.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Nov
pubmed:issn
0040-5809
pubmed:author
pubmed:issnType
Print
pubmed:volume
70
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
300-21
pubmed:dateRevised
2008-11-21
pubmed:meshHeading
pubmed-meshheading:16388833-Algorithms, pubmed-meshheading:16388833-Animals, pubmed-meshheading:16388833-Bias (Epidemiology), pubmed-meshheading:16388833-DNA Fingerprinting, pubmed-meshheading:16388833-Diploidy, pubmed-meshheading:16388833-Discriminant Analysis, pubmed-meshheading:16388833-Gene Frequency, pubmed-meshheading:16388833-Genes, Dominant, pubmed-meshheading:16388833-Genetic Markers, pubmed-meshheading:16388833-Genetic Variation, pubmed-meshheading:16388833-Genotype, pubmed-meshheading:16388833-Haploidy, pubmed-meshheading:16388833-Humans, pubmed-meshheading:16388833-Information Theory, pubmed-meshheading:16388833-Inheritance Patterns, pubmed-meshheading:16388833-Likelihood Functions, pubmed-meshheading:16388833-Microsatellite Repeats, pubmed-meshheading:16388833-Models, Genetic, pubmed-meshheading:16388833-Mutation, pubmed-meshheading:16388833-Paternity, pubmed-meshheading:16388833-Pedigree, pubmed-meshheading:16388833-Phenotype, pubmed-meshheading:16388833-Probability, pubmed-meshheading:16388833-Sensitivity and Specificity, pubmed-meshheading:16388833-Statistics, Nonparametric
pubmed:year
2006
pubmed:articleTitle
Informativeness of genetic markers for pairwise relationship and relatedness inference.
pubmed:affiliation
Institute of Zoology, Zoological Society of London, Regent's Park, London NW1 4RY, UK. jinliang.wang@ioz.ac.uk
pubmed:publicationType
Journal Article, Validation Studies