{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Reyna-Blanco CS"],"funding":["Swiss National Science Foundation"],"pagination":["msae137"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11255385"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["41(7)"],"pubmed_abstract":["Admixture between populations and species is common in nature. Since the influx of new genetic material might be either facilitated or hindered by selection, variation in mixture proportions along the genome is expected in organisms undergoing recombination. Various graph-based models have been developed to better understand these evolutionary dynamics of population splits and mixtures. However, current models assume a single mixture rate for the entire genome and do not explicitly account for linkage. Here, we introduce TreeSwirl, a novel method for inferring branch lengths and locus-specific mixture proportions by using genome-wide allele frequency data, assuming that the admixture graph is known or has been inferred. TreeSwirl builds upon TreeMix that uses Gaussian processes to estimate"],"journal":["Molecular biology and evolution"],"pubmed_title":["Inference of Locus-Specific Population Mixtures from Linked Genome-Wide Allele Frequencies."],"pmcid":["PMC11255385"],"funding_grant_id":["173062","310030","310030_200420","31003A_173062"],"pubmed_authors":["Leuenberger C","Wegmann D","Galimberti M","Caduff M","Reyna-Blanco CS"],"additional_accession":[]},"is_claimable":false,"name":"Inference of Locus-Specific Population Mixtures from Linked Genome-Wide Allele Frequencies.","description":"Admixture between populations and species is common in nature. Since the influx of new genetic material might be either facilitated or hindered by selection, variation in mixture proportions along the genome is expected in organisms undergoing recombination. Various graph-based models have been developed to better understand these evolutionary dynamics of population splits and mixtures. However, current models assume a single mixture rate for the entire genome and do not explicitly account for linkage. Here, we introduce TreeSwirl, a novel method for inferring branch lengths and locus-specific mixture proportions by using genome-wide allele frequency data, assuming that the admixture graph is known or has been inferred. TreeSwirl builds upon TreeMix that uses Gaussian processes to estimate","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Jul","modification":"2025-04-29T10:20:46.494Z","creation":"2025-04-06T19:29:57.867Z"},"accession":"S-EPMC11255385","cross_references":{"pubmed":["38958167"],"doi":["10.1093/molbev/msae137"]}}