Ancestry inference using reference labeled clusters of haplotypes

Ancestry inference using reference labeled clusters of haplotypes

Background: We present ARCHes, a fast and accurate haplotype-based approach for inferring an individual’s ancestry composition. Our approach works by modeling haplotype diversity from a large, admixed cohort of hundreds of thousands, then annotating those models with population information from refe...

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Bibliographic Details
Main Authors: Ball, C.A (Author), Byrnes, J.K (Author), Hong, E.L (Author), Noto, K. (Author), Schraiber, J.G (Author), Sedghifar, A. (Author), Song, S. (Author), Turissini, D.A (Author), Wang, Y. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
Admixture
Ancestry inference
ARCHe
Arches
ARCHes
article
cohort analysis
Genes
Genetics, Population
Genome, Human
haplotype
Haplotype diversity
Haplotype modeling
Haplotypes
HMM
human
human genome
Humans
Local ancestry
Polymorphism, Single Nucleotide
population genetics
RFMix
running
Running time
simulation
single nucleotide polymorphism
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