Estimating quantitative genetic parameters using sibships reconstructed from marker data

Genetics

Volumn 155, Issue 4, 2000, Pages 1961-1972

  Thomas, Stuart C ^a   Hill, William G ^a  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ALGORITHM; ALLELE; ARTICLE; FAMILY SIZE; GENE FREQUENCY; MARKER GENE; MAXIMUM LIKELIHOOD METHOD; NONHUMAN; PEDIGREE; PRIORITY JOURNAL; QUANTITATIVE GENETICS; SIBLING; SIMULATION;

ALGORITHMS; ALLELES; ANIMALS; GENE FREQUENCY; GENETIC MARKERS; GENOTYPE; MARKOV CHAINS; MODELS, GENETIC; MONTE CARLO METHOD; PEDIGREE; PHENOTYPE; QUANTITATIVE TRAIT, HERITABLE; SIBLING RELATIONS;

ANIMALIA;

EID: 0033886119     PISSN: 00166731     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (22)

1. Estimating effective population-size and mutation-rate from sequence data using Metropolis-Hastings sampling
2. A quantitative genetic theory of life history evolution
3. The role of genetic variation in adaptation and population persistence in a changing environment
4. Markov chain Monte Carlo algorithms for the Bayesian analysis of phylogenetic trees
5. Estimation of relatedness by DNA fingerprinting
6. Estimation of pairwise relatedness with molecular markers
7. Natural selection and the heritability of fitness components
8. A novel method for estimating heritability using molecular markers
9. Estimating relatedness using genetic markers
10. Estimators for pairwise relatedness and individual inbreeding coefficients
11. A marker-based method for inferences about quantitative inheritance in natural populations
12. Quantitative genetics: A promising approach for the assessment of genetic variation in endangered species
13. Estimating variance components in natural populations using inferred relationships
14. The estimation of pairwise relationships
15. Bayesian phylogenetic inference using DNA sequences: A Markov Chain Monte Carlo method