Putting RFMix and ADMIXTURE to the test in a complex admixed population.

ABSTRACT:

Background

Global and local ancestry inference in admixed human populations can be performed using computational tools implementing distinct algorithms. The development and resulting accuracy of these tools has been tested largely on populations with relatively straightforward admixture histories but little is known about how well they perform in more complex admixture scenarios.

Results

Using simulations, we show that RFMix outperforms ADMIXTURE in determining global ancestry proportions even in a complex 5-way admixed population, in addition to assigning local ancestry with an accuracy of 89%. The ability of RFMix to determine global and local ancestry to a high degree of accuracy, particularly in admixed populations provides the opportunity for more accurate association a

SUBMITTER: Uren C 

PROVIDER: S-EPMC7140372 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature