2020
DOI: 10.1186/s12863-020-00845-3
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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… Show more

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Cited by 40 publications
(28 citation statements)
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“…In particular, ADMIXTURE tends to infer an excess of Malay ancestry, even in southern and northern Chinese sampled from China. It has been shown by simulation studies that the haplotype-based RFMix method outperforms the frequency-based ADMXITURE method in determining the ancestry fractions in complex admixed populations ( Uren et al 2020 ). Therefore, we chose to report the RFMix estimates as our main results and included the ADMIXTURE estimates in the supplements.…”
Section: Resultsmentioning
confidence: 99%
“…In particular, ADMIXTURE tends to infer an excess of Malay ancestry, even in southern and northern Chinese sampled from China. It has been shown by simulation studies that the haplotype-based RFMix method outperforms the frequency-based ADMXITURE method in determining the ancestry fractions in complex admixed populations ( Uren et al 2020 ). Therefore, we chose to report the RFMix estimates as our main results and included the ADMIXTURE estimates in the supplements.…”
Section: Resultsmentioning
confidence: 99%
“…In addition, ancestral make-up between the discovery and target datasets is suggested to be a major PRS performance indicator ( Misganaw et al, 2019 ). Therefore, utilizing the overall summary statistics probably produced the lowest p -value because the dataset consists of genetic data from multiple ancestry groups, similar to the varying ancestral contributions to the South African Colored genome ( Uren et al, 2016 , 2020 ). However, this does not explain why we only observed an association between PTSD-PRS and MetS diagnosis when using the European subset of PGC-PTSD Freeze 2 summary statistics.…”
Section: Discussionmentioning
confidence: 99%
“…Participants were included if they were willing and able to provide informed consent; were 18 years or older; were able to read and write Afrikaans or English; were not pregnant; and were self-identified as being South African Colored. The South African Colored population is a five-way admixed population group, located in the Western Cape Province of South Africa ( Uren et al, 2016 , 2020 ). Participants were excluded if they had any major psychiatric disorder (e.g., severe psychotic or bipolar disorder), or any neurological disorder.…”
Section: Methodsmentioning
confidence: 99%
“…Running groups were created to ensure an equal number of reference populations and admixed populations whilst removing relatedness as a confounding factor during global ancestry assignment. After determining the correct k number of contributing ancestries through cross validation, the software RFMix was used to infer global ancestry proportions for downstream statistical analysis, since ADMIXTURE is not as accurate as haplotype-based analyses (Uren et al, 2020). The software PONG was used for visualisation of global ancestry proportions and amalgamation of multiple iterations into the major mode (Behr et al, 2016).…”
Section: Global Ancestry Inferencementioning
confidence: 99%