ArticleScientific reports2014
Accurate inference of local phased ancestry of modern admixed populations.
Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Opportunities and challenges of local ancestry in genetic association analyses.American journal of human genetics · 2025Review
- Article
- A comprehensive survey of models for dissecting local ancestry deconvolution in human genome.Briefings in bioinformatics · 2019Article
- AncestryView: data-driven visualization of whole-genome local-ancestry.Bioinformatics (Oxford, England) · 2019Article
- Chromosome-Range Whole-Genome High-Throughput Experimental Haplotyping by Single-Chromosome Microdissection.Methods in molecular biology (Clifton, N.J.) · 2017Article
- Data supporting the high-accuracy haplotype imputation using unphased genotype data as the references.Data in brief · 2016Article
- Efficient Genome-Wide Sequencing and Low-Coverage Pedigree Analysis from Noninvasively Collected Samples.Genetics · 2016Article
- GenomeLaser: fast and accurate haplotyping from pedigree genotypes.Bioinformatics (Oxford, England) · 2015Article
- References for Haplotype Imputation in the Big Data Era.Molecular biology (Los Angeles, Calif.) · 2015Article
- The mirror RNA expression pattern in human tissues.Precision medicine · 2015Article
Corrections and comments
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Authors and funding
11 authors.
Funding
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.
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Registered trials
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