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Dating admixture events is unsolved problem in multi-way admixed populations.
Chimusa, Emile R; Defo, Joel; Thami, Prisca K; Awany, Denis; Mulisa, Delesa D; Allali, Imane; Ghazal, Hassan; Moussa, Ahmed; Mazandu, Gaston K.
Afiliación
  • Chimusa ER; Division of Human Genetics, Department of Pathology, Institute of Infectious Disease and Molecular Medicine,Faculty of Health Sciences, University of Cape Town, Observatory, Cape Town, South Africa.
  • Defo J; Division of Human Genetics, Department of Pathology, Institute of Infectious Disease and Molecular Medicine,Faculty of Health Sciences, University of Cape Town, Observatory, Cape Town, South Africa.
  • Thami PK; Division of Human Genetics, Department of Pathology, Institute of Infectious Disease and Molecular Medicine,Faculty of Health Sciences, University of Cape Town, Observatory, Cape Town, South Africa.
  • Awany D; Botswana Harvard AIDS Institute Partnership, Gaborone, Botswana.
  • Mulisa DD; Department of Biological Sciences, University of Botswana, Gaborone, Botswana.
  • Allali I; Division of Human Genetics, Department of Pathology, Institute of Infectious Disease and Molecular Medicine,Faculty of Health Sciences, University of Cape Town, Observatory, Cape Town, South Africa.
  • Ghazal H; Division of Human Genetics, Department of Pathology, Institute of Infectious Disease and Molecular Medicine,Faculty of Health Sciences, University of Cape Town, Observatory, Cape Town, South Africa.
  • Moussa A; Division of Computational Biology, Department of Biomedical Sciences, Institute of Infectious Disease and Molecular Medicine,Faculty of Health Sciences, University of Cape Town, Observatory, Cape Town, South Africa.
  • Mazandu GK; University Mohammed First, B.P.524 Oujda, Morocco.
Brief Bioinform ; 21(1): 144-155, 2020 Jan 17.
Article en En | MEDLINE | ID: mdl-30462157
ABSTRACT
Advances in human sequencing technologies, coupled with statistical and computational tools, have fostered the development of methods for dating admixture events. These methods have merits and drawbacks in estimating admixture events in multi-way admixed populations. Here, we first provide a comprehensive review and comparison of current methods pertinent to dating admixture events. Second, we assess various admixture dating tools. We do so by performing various simulations. Third, we apply the top two assessed methods to real data of a uniquely admixed population from South Africa. Results reveal that current dating admixture models are not sufficiently equipped to estimate ancient admixtures events and to identify multi-faceted admixture events in complex multi-way admixed populations. We conclude with a discussion of research areas where further work on dating admixture-based methods is needed.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: Sudáfrica

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: Sudáfrica