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Table 2 The performance of Coal-Map and EIGENSTRAT based on area under receiver operating characteristic curve (AUROC) is compared using empirical mouse chromosomes and simulated traits

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

Chromosome

Single-causal-locus

Two-causal-loci

   

Corrected

  

Corrected

 

Coal-Map

EIGENSTRAT

q value

Coal-Map

EIGENSTRAT

q value

7

0.964

0.928

<10−5

0.942

0.923

0.003

15

0.940

0.922

0.014

0.917

0.919

0.587

17

0.968

0.914

<10−5

0.942

0.904

1.6∗10−5

  1. On the two mouse chromosomes with the greatest number of introgressed sites in our study - chromosomes 7 and 17 - Coal-Map’s performance was significantly better than EIGENSTRAT for both single-causal-locus and two-causal-loci traits (Delong et al. test [33] with Benjamini-Hochberg correction [65]; setwise α=0.05; n=20 for each test). We observed a reduced performance improvement on chromosome 15, which had relatively fewer introgressed sites: the improvement was weakly significant for single-causal-locus traits and not significant for two-causal-loci traits (using the same test)
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BMC Genomics

ISSN: 1471-2164

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