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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)
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BMC Genomics

ISSN: 1471-2164

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