Microsatellite loci have recently been used to date the migration Out-of-Africa of early modern humans. In this paper, an extension of the stepwise model (Zhivotovsky and Feldman 1995) is used to build a Bayesian hierarchical model for microsatellite data sampled from African and non-African populations. The prior information induced by the assumptions contained in the stepwise model is exploited to obtain the estimate of the time since the migration Out-of-Africa. The results obtained using our Bayesian model suggest that the original African populations that eventually made up the other populations could have comprised about 20,000-50,000 individuals and of these less than 15% could have migrated Out-of-Africa. The event of divergence can be dated to 100,000-300,000 years ago.

Microsatellite loci and the origin of modern humans: A Bayesian analysis / F. Stefanini, M. Feldman - In: Evolutionary Theory and Processes: Modern Perspectives : Papers in Honour of Eviatar Nevo / [a cura di] S.P. Wasser. - [s.l] : Springer, 1999. - ISBN 9789401060257. - pp. 249-269 [10.1007/978-94-011-4830-6_15]

Microsatellite loci and the origin of modern humans: A Bayesian analysis

F. Stefanini
Primo
;
1999

Abstract

Microsatellite loci have recently been used to date the migration Out-of-Africa of early modern humans. In this paper, an extension of the stepwise model (Zhivotovsky and Feldman 1995) is used to build a Bayesian hierarchical model for microsatellite data sampled from African and non-African populations. The prior information induced by the assumptions contained in the stepwise model is exploited to obtain the estimate of the time since the migration Out-of-Africa. The results obtained using our Bayesian model suggest that the original African populations that eventually made up the other populations could have comprised about 20,000-50,000 individuals and of these less than 15% could have migrated Out-of-Africa. The event of divergence can be dated to 100,000-300,000 years ago.
Microsatellite Locus; Posterior Distribution; Markov Chain Monte Carlo; Prior Distribution; Bayesian Analysis
Settore SECS-S/01 - Statistica
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2434/849384
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