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. 2019 Jun 28;124(3):485–498. doi: 10.1038/s41437-019-0244-9

Table 3.

Predictability of the five traits based on the BLUP model, just inclusion of one type of kinship matrix

SNP sets YD HD PH GL GW
Regulatory 0.451 ± 0.008a 0.562 ± 0.011 0.697 ± 0.006 0.551 ± 0.007 0.693 ± 0.006
Intron 0.447 ± 0.008 0.545 ± 0.011 0.687 ± 0.008 0.545 ± 0.008 0.691 ± 0.006
Exon 0.443 ± 0.008 0.544 ± 0.011 0.692 ± 0.007 0.536 ± 0.008 0.685 ± 0.006
Intergenic 0.455 ± 0.008 0.556 ± 0.011 0.697 ± 0.006 0.552 ± 0.008 0.697 ± 0.006
Gene 0.445 ± 0.008 0.542 ± 0.011 0.687 ± 0.007 0.539 ± 0.008 0.688 ± 0.006
Non-gene 0.453 ± 0.008 0.559 ± 0.011 0.695 ± 0.007 0.552 ± 0.008 0.695 ± 0.006
GBLUP (whole) 0.451 ± 0.008 0.555 ± 0.011 0.693 ± 0.007 0.549 ± 0.008 0.694 ± 0.006

Regulatory, intron, exon, intergenic, gene and non-gene represents the kinship matrix inferred from genetic variants within this kind of category

GBLUP (whole) represents that all the variants are used to infer the kinship matrix

aDenotes the standard error of predictability of traits, calculated from 100 replicates of tenfold cross-validation