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. 2017 Aug 24;207(2):489–501. doi: 10.1534/genetics.117.300198

Table 5. Predictive ability in categorical models (mean ± SE).

Data sets Traits CM CE CHM CHE CHM|GA CHE|GA CHM|GAa CHE|GA*
Mouse W6W 0.493 ± 0.002 0.516 ± 0.002 0.519 ± 0.002 0.551 ± 0.002 0.498 ± 0.002 0.524 ± 0.002 0.501 ± 0.002 0.525 ± 0.002
W7W 0.497 ± 0.002 0.519 ± 0.002 0.527 ± 0.002 0.550 ± 0.002 0.502 ± 0.002 0.528 ± 0.002 0.504 ± 0.002 0.528 ± 0.002
W8W 0.512 ± 0.002 0.527 ± 0.002 0.525 ± 0.001 0.543 ± 0.001 0.515 ± 0.002 0.533 ± 0.002 0.517 ± 0.002 0.533 ± 0.002
W10W 0.477 ± 0.002 0.494 ± 0.002 0.491 ± 0.002 0.511 ± 0.002 0.473 ± 0.002 0.494 ± 0.002 0.479 ± 0.002 0.497 ± 0.002
GSL 0.394 ± 0.001 0.404 ± 0.001 0.403 ± 0.001 0.414 ± 0.001 0.394 ± 0.001 0.404 ± 0.001 0.396 ± 0.001 0.406 ± 0.001
BMI 0.190 ± 0.003 0.199 ± 0.003 0.186 ± 0.003 0.203 ± 0.003 0.208 ± 0.002 0.216 ± 0.002 0.207 ± 0.002 0.215 ± 0.002
BL 0.239 ± 0.002 0.248 ± 0.002 0.244 ± 0.002 0.252 ± 0.002 0.249 ± 0.002 0.257 ± 0.002 0.248 ± 0.002 0.255 ± 0.002
%B220+ 0.544 ± 0.002 0.559 ± 0.002 0.534 ± 0.002 0.556 ± 0.001 0.541 ± 0.002 0.558 ± 0.002 0.545 ± 0.002 0.560 ± 0.002
%CD3+ 0.523 ± 0.003 0.530 ± 0.003 0.518 ± 0.003 0.523 ± 0.003 0.518 ± 0.003 0.527 ± 0.003 0.523 ± 0.003 0.529 ± 0.003
%CD4+ 0.486 ± 0.001 0.494 ± 0.001 0.478 ± 0.001 0.488 ± 0.001 0.482 ± 0.001 0.492 ± 0.001 0.491 ± 0.001 0.498 ± 0.001
%CD8+ 0.707 ± 0.001 0.712 ± 0.001 0.700 ± 0.001 0.699 ± 0.001 0.722 ± 0.001 0.728 ± 0.001 0.721 ± 0.001 0.728 ± 0.001
%CD4+/CD3+ 0.651 ± 0.001 0.655 ± 0.001 0.654 ± 0.001 0.650 ± 0.001 0.674 ± 0.001 0.678 ± 0.001 0.674 ± 0.001 0.678 ± 0.001
%CD8+/CD3+ 0.684 ± 0.001 0.686 ± 0.001 0.680 ± 0.001 0.674 ± 0.001 0.706 ± 0.001 0.709 ± 0.001 0.706 ± 0.001 0.709 ± 0.001
CD4+/CD8+ 0.682 ± 0.001 0.685 ± 0.001 0.678 ± 0.001 0.674 ± 0.001 0.703 ± 0.001 0.707 ± 0.001 0.703 ± 0.001 0.707 ± 0.001
CD4Intensity 0.574 ± 0.002 0.582 ± 0.002 0.569 ± 0.002 0.580 ± 0.002 0.569 ± 0.002 0.579 ± 0.002 0.578 ± 0.002 0.586 ± 0.002
CD8Intensity 0.413 ± 0.002 0.443 ± 0.002 0.442 ± 0.002 0.485 ± 0.002 0.409 ± 0.003 0.444 ± 0.002 0.412 ± 0.002 0.443 ± 0.002
DGRP E2 (F) 0.201 ± 0.010 0.201 ± 0.010 0.211 ± 0.010 0.198 ± 0.011 0.225 ± 0.010 0.212 ± 0.011 0.208 ± 0.010 0.192 ± 0.011
E2 (M) 0.026 ± 0.010 0.028 ± 0.010 0.040 ± 0.010 0.038 ± 0.009 0.045 ± 0.009 0.043 ± 0.009 0.039 ± 0.011 0.039 ± 0.012
1-hexanol (F) 0.184 ± 0.010 0.188 ± 0.010 0.193 ± 0.009 0.199 ± 0.009 0.222 ± 0.009 0.221 ± 0.009 0.220 ± 0.010 0.219 ± 0.010
1-hexanol (M) 0.234 ± 0.009 0.235 ± 0.009 0.235 ± 0.009 0.233 ± 0.009 0.254 ± 0.008 0.247 ± 0.008 0.254 ± 0.008 0.246 ± 0.009
Rice DS_PH 0.486 ± 0.007 0.483 ± 0.007 0.497 ± 0.007 0.484 ± 0.006 0.523 ± 0.007 0.517 ± 0.007 0.523 ± 0.007 0.517 ± 0.007
DS_FLW 0.534 ± 0.005 0.536 ± 0.005 0.556 ± 0.005 0.556 ± 0.005 0.567 ± 0.005 0.570 ± 0.005 0.567 ± 0.005 0.569 ± 0.005
DS_YLD 0.289 ± 0.006 0.301 ± 0.006 0.285 ± 0.006 0.313 ± 0.006 0.325 ± 0.005 0.340 ± 0.005 0.324 ± 0.005 0.340 ± 0.005
WS_PH 0.482 ± 0.006 0.487 ± 0.006 0.496 ± 0.005 0.500 ± 0.005 0.518 ± 0.005 0.521 ± 0.005 0.518 ± 0.005 0.521 ± 0.005
WS_FLW 0.467 ± 0.007 0.476 ± 0.007 0.487 ± 0.006 0.500 ± 0.006 0.504 ± 0.006 0.513 ± 0.006 0.503 ± 0.006 0.513 ± 0.006
WS_YLD 0.258 ± 0.007 0.288 ± 0.007 0.241 ± 0.007 0.302 ± 0.007 0.275 ± 0.008 0.314 ± 0.008 0.275 ± 0.008 0.314 ± 0.008
Mean accuracy 0.432 0.441 0.438 0.449 0.447 0.457 0.448 0.456

For the DGRP data set, two traits for which the gene-annotation-based models show improved predictive ability are presented. W6W–W10W, body weight at 6–8 and 10 weeks; GSL, growth slope between 6 and 10 weeks of age; BMI, body mass index; BL, body length; %B220+, percentage of B220 cells; %CD3+, percentage of CD3 cells; %CD4+, percentage of CD4 cells; %CD8+, percentage of CD8 cells; %CD4+/CD3+, percentage of CD4 and CD3 cells; %CD8+/CD3+, percentage of CD8 and CD3 cells; CD4+/CD8+, ratio of CD4 to CD8 cells; CD4Intensity, CD4inCD3XGeoMean; CD8Intensity, CD8inCD3YGeoMean. F, female; M, male. DS, dry season; WS, wet season; PH, plant height; FLW, flower time; YLD, grain yield. For each trait (row), the values in boldface indicate the best prediction among all models and values in italic are those significantly higher than CM (P < 0.05, pairwise t-test).

*

Indicates models including gene-based haplotypes and unmapped SNPs simultaneously.