ArticleNature communications2026
Scalable high resolution ancestry deconvolution for genomic data.
Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
- Recovering the precolonial population structure of Khoe-San descendant populations.Science advances · 2026Article
- Local ancestry inference identifies robust evidence of selection in Neolithic Europe.Molecular biology and evolution · 2026Article
- A yield-reducing introgression linked to sd1 in rice.The plant genome · 2026Article
- Pan-African model explainsbioRxiv : the preprint server for biology · 2026Article
- Polygenic risk scores and Parkinson's disease in South Africa advancing ancestry informed disease prediction.PLoS genetics · 2026Article
- Strategies in Global Ancestry and Local Ancestry Inference.Current protocols · 2026Article
- Admixture-mapping analysis reveals genetic determinants of the human plasma proteome.HGG advances · 2026Observational
- Genomic landscape of autism spectrum disorder in Brazil.Genetics and molecular biology · 2026Article
- Recovering the pre-colonial population structure of Khoe-San descendant populations.bioRxiv : the preprint server for biology · 2025Article
- Polygenic risk scores and Parkinson's disease in South Africa: Moving towards ancestry-informed disease prediction.medRxiv : the preprint server for health sciences · 2025Article
- Tractor Workflow Pipeline: A Scalable Nextflow Framework for Local Ancestry-Aware Genome-Wide Association Studies.bioRxiv : the preprint server for biology · 2025Article
- Carrying APOL1 G1 allele is associated with cardiovascular complications during COVID-19 in an admixed population.Human genomics · 2025Article
- Old vs. new local ancestry inference in HCHS/SOL: a comparative study.Human molecular genetics · 2025Article
- Genome-wide association analyses reveal susceptibility variants linked to Parkinson's disease in the South African population using inferred global and local ancestry.medRxiv : the preprint server for health sciences · 2025Article
- Combining whole genome sequencing and non-adaptive group testing for large-scale ethnicity screens.BMC bioinformatics · 2025Article
- Genome-wide epistasis analysis reveals significant epistatic signals associated with Parkinson's disease risk.Brain : a journal of neurology · 2025Article
- Fine-mapping in admixed populations using CARMA-X, with applications to Latin American studies.American journal of human genetics · 2025Article
- Peruvian Population Genomics: Unraveling the Genetic Landscape and Admixture Dynamics of Urban Populations.bioRxiv : the preprint server for biology · 2025Article
- Opportunities and challenges of local ancestry in genetic association analyses.American journal of human genetics · 2025Review
- Genome-Wide Selection Scans in Mexican Indigenous Populations Reveal Recent Signatures of Pathogen and Diet Adaptation.Genome biology and evolution · 2025Article
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Authors and funding
7 authors.
Funding
Abstract
As genome-wide association studies and genetic risk prediction models extend to globally diverse and admixed biobanks, accurate, scalable ancestry deconvolution, also called local ancestry inference (LAI), has become crucial. LAI assigns ancestry to each genomic segment within an individual, enabling studies of population history and ancestry-associated haplotypic effects. Existing LAI methods scale poorly to biobank-scale data, to the distant past, and to large numbers of ancestries. Here, we introduce several independent LAI methods implemented in the Gnomix software suite, achieving higher accuracy and faster computational performance than all existing approaches and with portable models that can be shared without exposing individual-level training data. Gnomix is paired with Gnofix, a swift, scalable phase correction counterpart. We demonstrate performance on worldwide whole-genome data from humans and canids, leveraging high-resolution accuracy to localise ancient New World haplotypes in the Xoloitzcuintli, dating back over 100 generations. Code is available at https://github.com/AI-sandbox/gnomix .
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.