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Table 1 The performance of Coal-Map and EIGENSTRAT based on area under receiver operating characteristic curve (AUROC) is compared across model conditions involving neutral evolution with incomplete lineage sorting and a wide range of gene flow

From: Mapping the genomic architecture of adaptive traits with interspecific introgressive origin: a coalescent-based approach

  Single-causal-locus
Hybridization    Corrected
frequency γ Coal-Map EIGENSTRAT q value
0.5 0.938 0.870 <10−5
0.25 0.935 0.882 <10−5
0.1 0.928 0.890 <10−5
0.01 0.917 0.845 <10−5
  Two-causal-loci
0.5 0.898 0.860 <10−5
0.25 0.911 0.860 <10−5
0.1 0.881 0.843 <10−5
0.01 0.879 0.834 <10−5
  All-causal-loci
0.5 0.836 0.826 0.16
0.25 0.842 0.808 0.001
0.1 0.854 0.842 0.093
0.01 0.847 0.817 0.002
  1. On single-causal-locus and two-causal-loci model conditions, Coal-Map has AUROC that is significantly better than EIGENSTRAT (Delong et al. test [33] with Benjamini-Hochberg correction [65]; setwise α=0.05; n=20 for each test) across different hybridization frequencies ranging from a relatively large level of gene flow (γ=0.5) to negligible amounts of gene flow (γ=0.01). On all-causal-loci model conditions, Coal-Map had a diminished performance advantage in terms of AUROC, and the improvement was either weakly significant or not significant (under the same test)