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• W2022984183 startingPage "244" @default.
• W2022984183 abstract "Several methods have been proposed to test for introgression across genomes. One method tests for a genome-wide excess of shared derived alleles between taxa using Patterson's D statistic, but does not establish which loci show such an excess or whether the excess is due to introgression or ancestral population structure. Several recent studies have extended the use of D by applying the statistic to small genomic regions, rather than genome-wide. Here, we use simulations and whole-genome data from Heliconius butterflies to investigate the behavior of D in small genomic regions. We find that D is unreliable in this situation as it gives inflated values when effective population size is low, causing D outliers to cluster in genomic regions of reduced diversity. As an alternative, we propose a related statistic ƒ(d), a modified version of a statistic originally developed to estimate the genome-wide fraction of admixture. ƒ(d) is not subject to the same biases as D, and is better at identifying introgressed loci. Finally, we show that both D and ƒ(d) outliers tend to cluster in regions of low absolute divergence (d(XY)), which can confound a recently proposed test for differentiating introgression from shared ancestral variation at individual loci." @default.
• W2022984183 created "2016-06-24" @default.
• W2022984183 creator A5036215936 @default.
• W2022984183 creator A5065815941 @default.
• W2022984183 creator A5079087316 @default.
• W2022984183 date "2014-09-22" @default.
• W2022984183 modified "2023-10-17" @default.
• W2022984183 title "Evaluating the Use of ABBA–BABA Statistics to Locate Introgressed Loci" @default.
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• W2022984183 doi "https://doi.org/10.1093/molbev/msu269" @default.
• W2022984183 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4271521" @default.
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• W2022984183 hasPublicationYear "2014" @default.
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