A note on the accuracy of PAC-likelihood inference with microsatellite data

Theoretical Population Biology

Volumn 71, Issue 1, 2007, Pages 12-19

  Cornuet, J M ^a   Beaumont, M A ^b  

^a CENTRE DE BIOLOGIE ET DE GESTION DES POPULATIONS   (France)

^b UNIVERSITY OF READING   (United Kingdom)

Author keywords

Importance sampling; Microsatellite; Mutation model; PAC likelihood

Indexed keywords

MICROSATELLITE DNA;

MAXIMUM LIKELIHOOD ANALYSIS; MUTATION; POPULATION GENETICS; POPULATION MODELING; PROBABILITY;

ARTICLE; GENE FREQUENCY; GENETICS; METHODOLOGY; MOLECULAR BIOLOGY; MUTATION; POPULATION GENETICS; STATISTICAL MODEL;

GENE FREQUENCY; GENETICS, POPULATION; LIKELIHOOD FUNCTIONS; MICROSATELLITE REPEATS; MOLECULAR BIOLOGY; MUTATION;

EID: 33751088530     PISSN: 00405809     EISSN: 10960325     Source Type: Journal    
DOI: 10.1016/j.tpb.2006.06.004     Document Type: Article

References (15)

1. Balding D.J., Bishop M., and Cannings C. Handbook of Statistical Genetics (2001), Wiley, Chichester, UK p. 863
2. Beaumont M.A. Estimation of population growth or decline in genetically monitored populations. Genetics 164 (2003) 1139-1160
3. Berthier P., Beaumont M.A., Cornuet J.M., and Luikart G. Likelihood-based estimation of the effective population size using temporal changes in allele frequencies: a genealogical approach. Genetics 160 (2002) 741-751
4. Chikhi L., Bruford M.W., and Beaumont M.A. Estimation of admixture proportions: a likelihood-based approach using Markov chain Monte Carlo. Genetics 158 (2001) 1347-1362
5. Ciofi C., Beaumont M.A., Swingland I.R., and Bruford M.W. Genetic divergence and units for conservation in the Komodo dragon Varanus komodoensis. Proc. R. Soc. Lond. Ser. B 266 (1999) 2269-2274
6. De Iorio M., and Griffiths R.C. Importance sampling on coalescent histories. I. Adv. Appl. Probab. 36 (2004) 417-433
7. De Iorio M., Griffiths R.C., Leblois R., and Rousset F. Stepwise mutation likelihood computation by sequential importance sampling in subdivided population models. Theor. Popul. Biol. 68 (2005) 41-53
8. Donnelly P. The coalescent and microsatellite variability. In: Goldstein D.B., and Schlötterer C. (Eds). Microsatellites Evolution and Applications (1999), Oxford University Press, Oxford 116-128
9. Estoup A., and Angers B. Microsatellites and minisatellites for molecular ecology: theoretical and empirical considerations. In: Carvalho G. (Ed). Advances in Molecular Ecology (1998), IOS Press, Amsterdam 55-86
10. Felsenstein, J., Kuhner, M.K., Yamato, J., Beerli, P., 1999. Likelihoods on coalescence: a Monte Carlo sampling approach to inferring parameters from population samples of molecular data. IMS Lecture Notes, Monograph Series, vol. 33, pp. 163-185.
11. Griffiths R.C., and Tavaré S. Simulating probability distributions in the coalescent. Theor. Popul. Biol. 46 (1994) 131-159
12. Li N., and Stephens M. Modeling linkage disequilibrium and identifying recombination hotspots using single-nucleotide polymorphism data. Genetics 165 (2003) 2213-2233
13. O'Ryan C., Harley E.H., Bruford M.W., Wayne R.K., et al. Microsatellite analysis of genetic diversity in fragmented South African buffalo populations. Anim. Conserv. 1 (1998) 85-94
14. Stephens M., and Donnelly P. Inference in molecular population genetics (with discussion). J. R. Stat. Soc. B 62 (2000) 605-655
15. Wilson I.J., and Balding D.J. Genealogical inference from microsatellite data. Genetics 150 (1998) 499-510