Literature DB >> 30462157

Dating admixture events is unsolved problem in multi-way admixed populations.

Emile R Chimusa1, Joel Defo1, Prisca K Thami1,2,3, Denis Awany1, Delesa D Mulisa1, Imane Allali4, Hassan Ghazal5, Ahmed Moussa6, Gaston K Mazandu1,4,7.   

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.

Entities:  

Year:  2018        PMID: 30462157     DOI: 10.1093/bib/bby112

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  3 in total

Review 1.  Population Structure and Implications on the Genetic Architecture of HIV-1 Phenotypes Within Southern Africa.

Authors:  Prisca K Thami; Emile R Chimusa
Journal:  Front Genet       Date:  2019-09-27       Impact factor: 4.599

Review 2.  Prospective avenues for human population genomics and disease mapping in southern Africa.

Authors:  Yolandi Swart; Gerald van Eeden; Anel Sparks; Caitlin Uren; Marlo Möller
Journal:  Mol Genet Genomics       Date:  2020-05-21       Impact factor: 2.980

3.  An Extended Admixture Pulse Model Reveals the Limitations to Human-Neandertal Introgression Dating.

Authors:  Leonardo N M Iasi; Harald Ringbauer; Benjamin M Peter
Journal:  Mol Biol Evol       Date:  2021-10-27       Impact factor: 16.240

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.