ArticleNature communications2014
Geographic population structure analysis of worldwide human populations infers their biogeographical origins.
Article in Nature communications, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 71 papers, 2 of them syntheses that pooled it.
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Who cites it
71 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Population genetic considerations for using biobanks as international resources in the pandemic era and beyond.BMC genomics · 2021Pooled it
- Major histocompatibility complex-associated odour preferences and human mate choice: near and far horizons.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020Pooled it
- Integrated genetic and geographic ancestry prediction via large-scale genomic data and machine learning.Human genomics · 2025Article
- A high-throughput screening method for selecting feature SNPs to evaluate breed diversity and infer ancestry.Genome research · 2025Article
- AncestryGeni: a novel genetic ancestry classification pipeline for small and noisy sequence data.Bioinformatics (Oxford, England) · 2025Article
- A Comprehensive Bibliometric Analysis: Celebrating the Thirtieth Anniversary of the Pacific Symposium on Biocomputing.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2025Article
- Microbiome Geographic Population Structure (mGPS) Detects Fine-Scale Geography.Genome biology and evolution · 2024Article
- Pan-transcriptome reveals a large accessory genome contribution to gene expression variation in yeast.Nature genetics · 2024Article
- Biogeographic Perspectives on Human Genetic Diversification.Molecular biology and evolution · 2024Article
- Review
- Disparity in the detection of chromosome 15 centromere in patients of African ancestry with a plasma cell neoplasm.Genetics in medicine open · 2023Article
- Mitochondrial DNA haplogroup, genetic ancestry, and susceptibility to Ewing sarcoma.Mitochondrion · 2022Article
- Metabolic diversity in human populations and correlation with genetic and ancestral geographic distances.Molecular genetics and metabolism · 2022Article
- Principal Component Analyses (PCA)-based findings in population genetic studies are highly biased and must be reevaluated.Scientific reports · 2022Article
- Temporal population structure, a genetic dating method for ancient Eurasian genomes from the past 10,000 years.Cell reports methods · 2022Article
- Multivariate statistical approach and machine learning for the evaluation of biogeographical ancestry inference in the forensic field.Scientific reports · 2022Article
- Systems biology analysis of human genomes points to key pathways conferring spina bifida risk.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- The impact of cross-kingdom molecular forensics on genetic privacy.Microbiome · 2021Article
- Detection of genomic regions associated malformations in newborn piglets: a machine-learning approach.PeerJ · 2021Article
- Genome-wide analysis of genetic diversity and artificial selection in Large White pigs in Russia.PeerJ · 2021Article
11 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
33 authors.
Funding
Abstract
The search for a method that utilizes biological information to predict humans' place of origin has occupied scientists for millennia. Over the past four decades, scientists have employed genetic data in an effort to achieve this goal but with limited success. While biogeographical algorithms using next-generation sequencing data have achieved an accuracy of 700 km in Europe, they were inaccurate elsewhere. Here we describe the Geographic Population Structure (GPS) algorithm and demonstrate its accuracy with three data sets using 40,000-130,000 SNPs. GPS placed 83% of worldwide individuals in their country of origin. Applied to over 200 Sardinians villagers, GPS placed a quarter of them in their villages and most of the rest within 50 km of their villages. GPS's accuracy and power to infer the biogeography of worldwide individuals down to their country or, in some cases, village, of origin, underscores the promise of admixture-based methods for biogeography and has ramifications for genetic ancestry testing.
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