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Sci Rep. 2014 Jul 23;4:5800. doi: 10.1038/srep05800.

Accurate inference of local phased ancestry of modern admixed populations.

Author information

1
1] Cardiovascular Research Institute, Morehouse School of Medicine, Atlanta, Georgia, USA [2].
2
1] DNAncestree Inc, Atlanta, Georgia, USA [2].
3
Cardiovascular Research Institute, Morehouse School of Medicine, Atlanta, Georgia, USA.
4
Department of Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama, USA.
5
Department of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA.
6
Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

Abstract

Population stratification is a growing concern in genetic-association studies. Averaged ancestry at the genome level (global ancestry) is insufficient for detecting the population substructures and correcting population stratifications in association studies. Local and phase stratification are needed for human genetic studies, but current technologies cannot be applied on the entire genome data due to various technical caveats. Here we developed a novel approach (aMAP, ancestry of Modern Admixed Populations) for inferring local phased ancestry. It took about 3 seconds on a desktop computer to finish a local ancestry analysis for each human genome with 1.4-million SNPs. This method also exhibits the scalability to larger datasets with respect to the number of SNPs, the number of samples, and the size of reference panels. It can detect the lack of the proxy of reference panels. The accuracy was 99.4%. The aMAP software has a capacity for analyzing 6-way admixed individuals. As the biomedical community continues to expand its efforts to increase the representation of diverse populations, and as the number of large whole-genome sequence datasets continues to grow rapidly, there is an increasing demand on rapid and accurate local ancestry analysis in genetics, pharmacogenomics, population genetics, and clinical diagnosis.

PMID:
25052506
PMCID:
PMC4107375
DOI:
10.1038/srep05800
[Indexed for MEDLINE]
Free PMC Article

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