ArticleAmerican journal of human genetics2006
Reconstructing genetic ancestry blocks in admixed individuals.
Article in American journal of human genetics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 159 papers, 4 of them syntheses that pooled it.
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Who cites it
159 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Detecting fitness epistasis in recently admixed populations with genome-wide data.BMC genomics · 2020Pooled it
- Fine-mapping, novel loci identification, and SNP association transferability in a genome-wide association study of QRS duration in African Americans.Human molecular genetics · 2016Pooled it
- Genome-wide association study of body height in African Americans: the Women's Health Initiative SNP Health Association Resource (SHARe).Human molecular genetics · 2012Pooled it
- Genome-wide association study of white blood cell count in 16,388 African Americans: the continental origins and genetic epidemiology network (COGENT).PLoS genetics · 2011Pooled it
- Scalable high resolution ancestry deconvolution for genomic data.Nature communications · 2026Article
- Deciphering the mosaic genome of sugarcane cultivars through polyploid admixture inference with AdmixPoly.Genome biology · 2026Article
- Article
- Autoencoders for genomic variation analysis.Genome research · 2026Article
- Analytical expectations for ancestry junction accumulation in admixed genomes.bioRxiv : the preprint server for biology · 2025Article
- Genome wide locus-specific ancestry analysis revealed adaptive admixtures in crossbred cattle of India.Scientific reports · 2025Article
- Opportunities and challenges of local ancestry in genetic association analyses.American journal of human genetics · 2025Review
- AncestryGrapher toolkit: Python command-line pipelines to visualize global- and local- ancestry inferences from the RFMIX version 2 software.Bioinformatics (Oxford, England) · 2024Article
- Understanding admixture fractions: theory and estimation of gene-flow.Journal of mathematical biology · 2024Article
- Misunderstanding of race as biology has deep negative biological and social consequences.Experimental physiology · 2024Article
- Inference of Locus-Specific Population Mixtures from Linked Genome-Wide Allele Frequencies.Molecular biology and evolution · 2024Article
- Global and Local Ancestry and its Importance: A Review.Current genomics · 2024Review
- Concurrently mapping quantitative trait loci associations from multiple subspecies within hybrid populations.Heredity · 2023Article
- Genome-Wide Admixture Mapping Identifies Wild Ancestry-of-Origin Segments in Cultivated Robusta Coffee.Genome biology and evolution · 2023Article
- AICRF: ancestry inference of admixed population with deep conditional random field.Journal of genetics · 2023Article
- Sex-biased admixture and assortative mating shape genetic variation and influence demographic inference in admixed Cabo Verdeans.G3 (Bethesda, Md.) · 2022Article
99 more citing papers are in PubMed but not listed here.
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5 authors.
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Abstract
A chromosome in an individual of recently admixed ancestry resembles a mosaic of chromosomal segments, or ancestry blocks, each derived from a particular ancestral population. We consider the problem of inferring ancestry along the chromosomes in an admixed individual and thereby delineating the ancestry blocks. Using a simple population model, we infer gene-flow history in each individual. Compared with existing methods, which are based on a hidden Markov model, the Markov-hidden Markov model (MHMM) we propose has the advantage of accounting for the background linkage disequilibrium (LD) that exists in ancestral populations. When there are more than two ancestral groups, we allow each ancestral population to admix at a different time in history. We use simulations to illustrate the accuracy of the inferred ancestry as well as the importance of modeling the background LD; not accounting for background LD between markers may mislead us to false inferences about mixed ancestry in an indigenous population. The MHMM makes it possible to identify genomic blocks of a particular ancestry by use of any high-density single-nucleotide-polymorphism panel. One application of our method is to perform admixture mapping without genotyping special ancestry-informative-marker panels.
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