Table 3. Proportion of phenotypic variance attributable to the twelve identified QTL regions.
Chromosome | Candidate gene | QTL-region [Basepairs] | Number of SNPs within the QTL-region | Proportion of phenotypic variance explained [%] |
2 | MCM6 | 59,128,137–64,128,137 | 1541 | 1.092 |
PAX3 | 108,706,088–113,706,088 | 1356 | 2.129 | |
5 | KITLG | 15,706,817–20,706,817 | 1334 | 7.869 |
ERBB3 | 55,054,914–60,054,914 | 820 | 1.493 | |
6 | DKK2, LEF1 | 16,475,451–21,475,451 | 1501 | 1.077 |
KIT | 69,882,208–74,882,208 | 1593 | 14.560 | |
11 | CRIM1 | 16,844,832–21,844,832 | 1514 | 0.857 |
13 | ATRN | 49,394,994–54,394,994 | 910 | 2.598 |
14 | GSDMC | 9,575,830–14,575,830 | 1384 | 1.398 |
22 | - | 25,431,961–30,431,961 | 1334 | 0.002 |
MITF | 29,745,023–34,745,023 | 1356 | 11.332 | |
NBEAL2 | 50,516,253–55,516,253 | 1507 | 0.548 |
A 5 Mb interval centred on the most significantly associated SNP was considered as QTL-region.
The genomic relationship matrix for each QTL was built based upon SNPs within the 5 Mb interval.
The proportion of phenotypic variance explained was then estimated with the effects off all chromosomes and QTL fitted simultaneously.