Maximum likelihood estimates of allele frequencies and error rates from samples of related individuals by gene counting
Open Access
- 12 January 2006
- journal article
- Published by Oxford University Press (OUP) in Bioinformatics
- Vol. 22 (6) , 771-772
- https://doi.org/10.1093/bioinformatics/btk049
Abstract
Summary: Graphical modeling is used to extend the gene counting method to compute maximum likelihood estimates of allele frequencies for samples of individuals related in extended pedigrees. Genotypes may be missing or partially observed, and error rates can be simultaneously estimated.Keywords
This publication has 9 references indexed in Scilit:
- GMCheck: Bayesian error checking for pedigreegenotypes and phenotypesBioinformatics, 2005
- Best Linear Unbiased Allele‐Frequency Estimation in Complex PedigreesBiometrics, 2004
- GCHap: fast MLEs for haplotype frequencies by gene countingBioinformatics, 2003
- Contents Vol. 21, 2001American Journal of Nephrology, 2001
- Local Computations with Probabilities on Graphical Structures and Their Application to Expert SystemsJournal of the Royal Statistical Society Series B: Statistical Methodology, 1988
- Maximum Likelihood from Incomplete Data Via the EM AlgorithmJournal of the Royal Statistical Society Series B: Statistical Methodology, 1977
- A General Model for the Genetic Analysis of Pedigree DataHuman Heredity, 1971
- COUNTING METHODS IN GENETICAL STATISTICSAnnals of Human Genetics, 1957
- THE ESTIMATION OF GENE FREQUENCIES IN A RANDOM‐MATING POPULATIONAnnals of Human Genetics, 1955