2BAD: an application to estimate the parental contributions during two independent admixture events
Several approaches have been developed to calculate the relative contributions of parental populations in single admixture event scenarios, including Bayesian methods. In many breeds and populations, it may be more realistic to consider multiple admixture events. However, no approach has been develo...
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Published in | Molecular ecology resources Vol. 10; no. 3; pp. 538 - 541 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Oxford, UK
Oxford, UK : Blackwell Publishing Ltd
01.05.2010
Blackwell Publishing Ltd Wiley Subscription Services, Inc |
Subjects | |
Online Access | Get full text |
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Summary: | Several approaches have been developed to calculate the relative contributions of parental populations in single admixture event scenarios, including Bayesian methods. In many breeds and populations, it may be more realistic to consider multiple admixture events. However, no approach has been developed to date to estimate admixture in such cases. This report describes a program application, 2BAD (for 2-event Bayesian ADmixture), which allows the consideration of up to two independent admixture events involving two or three parental populations and a single admixed population, depending on the number of populations sampled. For each of these models, it is possible to estimate several parameters (admixture, effective sizes, etc.) using an approximate Bayesian computation approach. In addition, the program allows comparing pairs of admixture models, determining which is the most likely given data. The application was tested through simulations and was found to provide good estimates for the contribution of the populations at the two admixture events. We were also able to determine whether an admixture model was more likely than a simple split model. |
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Bibliography: | http://dx.doi.org/10.1111/j.1755-0998.2009.02766.x ark:/67375/WNG-G9TBP79T-3 istex:2C3DAEA61EB2100138DFAF51CC9585FF4F8DC0D2 ArticleID:MEN2766 These authors contributed equally to this work. ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 |
ISSN: | 1755-0998 1755-098X 1755-0998 |
DOI: | 10.1111/j.1755-0998.2009.02766.x |