. 2013 Feb 7;9(2):e1003248. doi: 10.1371/journal.pgen.1003248

Table 3. Phenotypic (r_P) and genetic correlations from polygenic components (r_POLY) for melanoma grade, grey level, vitiligo grade, and speckling grade estimated using different scenarios.^* .

Trait pair	First scenario^*		Second scenario	Third scenario
	r_P	r_POLY	r_POLY	r_POLY
Melanoma, Greying	0.33±0.12	0.39±0.12	0.05±0.16	0.02±0.16
Melanoma, Vitiligo	0.22±0.04	0.28±0.17	−0.19±0.23	−0.09±0.14
Melanoma, Speckling	−0.43±0.04	−0.70±0.11	−0.28±0.26	−0.15±0.26
Greying, Vitiligo	0.52±0.05	0.67±0.06	0.48±0.09	0.50±0.10
Greying, Speckling	−0.34±0.06	−0.41±0.16	0.00±0.16	−0.18±0.16
Vitiligo, Speckling	−0.43±0.04	−0.47±0.14	0.00±0.23	0.01±0.24

The first scenario is a polygenic model applied to data from all genotyped horses. The second scenario is a polygenic model that also includes STX17 (for all traits) and ASIP (only for melanoma grade), applied to data from all genotyped horses. The third scenario is the polygenic model applied to data only from homozygous (GG) horses, corresponding to 70–73% of the complete data set, depending on the trait.

Table 3. Phenotypic (rP) and genetic correlations from polygenic components (rPOLY) for melanoma grade, grey level, vitiligo grade, and speckling grade estimated using different scenarios.* .

Table 3. Phenotypic (r_P) and genetic correlations from polygenic components (r_POLY) for melanoma grade, grey level, vitiligo grade, and speckling grade estimated using different scenarios.^* .