ArticleBMC genetics2012
Inferring genome-wide patterns of admixture in Qataris using fifty-five ancestral populations.
Article in BMC genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed.
- Appreciating diversity: a review of the Iranian genomic landscape.European journal of human genetics : EJHG · 2026Review
- Impact of population-specific pharmacogenomic variants on drug dosing in ICU patients.The pharmacogenomics journal · 2026Article
- A Pangenomic Approach to Improve Population Genetics Analysis and Reference Bias in Underrepresented Middle Eastern and Horn of Africa Populations.Biomolecules · 2025Article
- Opportunities and challenges of local ancestry in genetic association analyses.American journal of human genetics · 2025Review
- Article
- Global and Local Ancestry and its Importance: A Review.Current genomics · 2024Review
- The Qatari population's genetic structure and gene flow as revealed by the Y chromosome.PloS one · 2023Article
- Ancestry-related distribution of Runs of homozygosity and functional variants in Qatari population.BMC genomic data · 2022Article
- Unraveling a fine-scale high genetic heterogeneity and recent continental connections of an Arabian Peninsula population.European journal of human genetics : EJHG · 2022Article
- Genetic Ancestry Inference and Its Application for the Genetic Mapping of Human Diseases.International journal of molecular sciences · 2021Review
- Genetic Studies of Metabolic Syndrome in Arab Populations: A Systematic Review and Meta-Analysis.Frontiers in genetics · 2021Review
- Systematic Review on Local Ancestor Inference From a Mathematical and Algorithmic Perspective.Frontiers in genetics · 2021Review
- The effect of genetic and nongenetic factors on warfarin dose variability in Qatari population.The pharmacogenomics journal · 2020Observational
- Whole Genome Sequencing of Four Representatives From the Admixed Population of the United Arab Emirates.Frontiers in genetics · 2020Article
- Genetic Diversity and Low Stratification of the Population of the United Arab Emirates.Frontiers in genetics · 2020Article
- A comprehensive survey of models for dissecting local ancestry deconvolution in human genome.Briefings in bioinformatics · 2019Article
- Distinct genetic variation and heterogeneity of the Iranian population.PLoS genetics · 2019Article
- Fine Scale Genomic Signals of Admixture and Alien Introgression among Asian Rice Landraces.Genome biology and evolution · 2019Article
- Consensus Opinions on Facial Beauty and Implications for Aesthetic Treatment in Middle Eastern Women.Plastic and reconstructive surgery. Global open · 2019Article
- Consequences of PCA graphs, SNP codings, and PCA variants for elucidating population structure.PloS one · 2019Article
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPopulations of the Arabian Peninsula have a complex genetic structure that reflects waves of migrations including the earliest human migrations from Africa and eastern Asia, migrations along ancient civilization trading routes and colonization history of recent centuries.
resultsHere, we present a study of genome-wide admixture in this region, using 156 genotyped individuals from Qatar, a country located at the crossroads of these migration patterns. Since haplotypes of these individuals could have originated from many different populations across the world, we have developed a machine learning method "SupportMix" to infer loci-specific genomic ancestry when simultaneously analyzing many possible ancestral populations. Simulations show that SupportMix is not only more accurate than other popular admixture discovery tools but is the first admixture inference method that can efficiently scale for simultaneous analysis of 50-100 putative ancestral populations while being independent of prior demographic information.
conclusionsBy simultaneously using the 55 world populations from the Human Genome Diversity Panel, SupportMix was able to extract the fine-scale ancestry of the Qatar population, providing many new observations concerning the ancestry of the region. For example, as well as recapitulating the three major sub-populations in Qatar, composed of mainly Arabic, Persian, and African ancestry, SupportMix additionally identifies the specific ancestry of the Persian group to populations sampled in Greater Persia rather than from China and the ancestry of the African group to sub-Saharan origin and not Southern African Bantu origin as previously thought.
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