Skip to main content
. 2021 Dec 10;54(2):71–85. doi: 10.1152/physiolgenomics.00108.2021

Table 1.

Biomarker study using the top 25 genes for grouping cows according to pregnancy outcomes

Genes (x) Statistical Analysis
 Biomarker Study
P Value Estimate Odds of Pregnancy (y) Cutoff Sensitivity, % Specificity, % AUC
CARMIL2 1.70E-04 −4.41 y =exp(19.74 − 4.41 × x)1 + exp(19.74 − 4.41 × x) ≤ 4.23 80 55.6 0.75
(59.3–93.2) (30.8–78.5) (0.59–0.87)
SCARNA2 4.80E-04 −2.89 y =exp(15.47 − 2.89 × x)1 + exp(15.47 − 2.89 × x) ≤ 5.14 80 83.3 0.82
(59.3–93.2) (58.6–96.4) (0.67–0.92)
HLX 2.10E-03 −2.50 y =exp(9.75 − 2.50 × x)1 + exp(9.75 − 2.50 × x) ≤ 3.61 72 77.8 0.76
(50.6–87.9) (52.4–93.6) (0.61–0.88)
ENSBTAG00000053696 2.20E-03 −2.88 y =exp(18.43 − 2.88 × x)1 + exp(18.43 − 2.88 × x) ≤ 6.25 76 66.7 0.75
(54.9–90.6) (41.0–86.7) (0.60–0.87)
CSF2RA 3.30E-03 −3.93 y =exp(22.49 − 3.93 × x)1 + exp(22.49 − 3.93 × x) ≤ 5.68 88 55.6 0.76
(68.8–97.5) (30.8–78.5) (0.61–0.88)
ZFHX2 3.60E-03 −3.67 y =exp(23.50 − 3.67 × x)1 + exp(23.50 − 3.67 × x) ≤ 6.46 96 50 0.75
(79.6–99.9) (26.0–74.0) (0.60–0.87)
PHF21A 4.00E-03 −4.64 y =exp(29.07 − 4.64 × x)1 + exp(29.07 − 4.64 × x) ≤ 6.24 76 72.2 0.78
(54.9–90.6) (46.5–90.3) (0.63–0.89)
MRTFA 4.10E-03 −4.86 y =exp(33.59 − 4.86 × x)1 + exp(33.59 − 4.86 × x) ≤ 6.70 68 77.8 0.73
(46.5–85.1) (52.4–93.6) (0.58–0.86)
RASGRP2 4.90E-03 −1.55 y =exp(6.15 − 1.55 × x)1 + exp(6.15 − 1.55 × x) ≤ 3.75 88 44.4 0.72
(68.8–97.5) (21.5–69.2) (0.57–0.85)
LRCH4 5.00E-03 −5.61 y =exp(40.40 − 5.61 × x)1 + exp(40.40 − 5.61 × x) ≤ 7.00 68 77.8 0.68
(46.5–85.1) (52.4–93.6) (0.53–0.82)
PALD1 6.90E-03 −2.86 y =exp(15.78 − 2.86 × x)1 + exp(15.78 − 2.86 × x) ≤ 5.12 64 77.8 0.72
(42.5–82.0) (52.4–93.6) (0.57–0.85)
ENSBTAG00000051433 7.10E-03 −1.23 y =exp(3.41 − 1.23 × x)1 + exp(3.41 − 1.23 × x) ≤ 2.49 88 61.1 0.76
(68.8–97.5) (35.7–82.7) (0.61–0.88)
PWWP2B 7.60E-03 −3.77 y =exp(23.31 − 3.77 × x)1 + exp(23.31 − 3.77 × x) ≤ 6.00 64 77.8 0.73
(42.5–82.0) (52.4–93.6) (0.58–0.86)
CLIP3 8.10E-03 −2.59 y =exp(15.73 − 2.59 × x)1 + exp(15.73 − 2.59 × x) ≤ 5.83 72 55.6 0.71
(50.6–87.9) (30.8–78.5) (0.55–0.84)
TTC28 1.10E-02 −2.56 y =exp(16.57 − 2.56 × x)1 + exp(16.57 − 2.56 × x) ≤ 6.30 84 50 0.69
(63.9–95.5) (26.0–74.0) (0.53–0.83)
NUMA1 1.20E-02 −3.48 y =exp(32.87 − 3.48 × x)1 + exp(32.87 − 3.48 × x) ≤ 9.34 80 50 0.71
(59.3–93.2) (26.0–74.0) (0.55–0.84)
BICRA 1.20E-02 −3.57 y =exp(23.13 − 3.57 × x)1 + exp(23.13 − 3.57 × x) ≤ 6.38 88 66.7 0.75
(68.8–97.5) (41.0–86.7) (0.60–0.87)
POU6F1 1.30E-02 −2.08 y =exp(8.71 − 2.08 × x)1 + exp(8.71 − 2.08 × x) ≤ 4.01 76 61.1 0.72
(54.9–90.6) (35.7–82.7) (0.56–0.84)
KLF7 1.40E-02 −2.71 y =exp(12.52 − 2.71 × x)1 + exp(12.52 − 2.71 × x) ≤ 4.48 84 61.1 0.73
(63.9–95.5) (35.7–82.7) (0.57–0.86)
KDM6B 1.50E-02 −3.88 y =exp(30.18 − 3.88 × x)1 + exp(30.18 − 3.88 × x) ≤ 7.73 80 55.6 0.71
(59.3–93.2) (30.8–78.5) (0.56–0.84)
NFIX 1.60E-02 −2.53 y =exp(19.13 − 2.53 × x)1 + exp(19.13 − 2.53 × x) ≤ 7.47 84 61.1 0.73
(63.9–95.5) (35.7–82.7) (0.57–0.85)
ATN1 1.60E-02 −4.81 y =exp(41.91 − 4.81 × x)1 + exp(41.91 − 4.81 × x) ≤ 8.54 68 83.3 0.72
(46.5–85.1) (58.6–96.4) (0.56–0.84)
TNRC18 1.80E-02 −3.82 y =exp(33.87 − 3.82 × x)1 + exp(33.87 − 3.82 × x) ≤ 6.79 68 77.8 0.72
(46.5–85.1) (52.4–93.6) (0.57–0.85)
KMT2D 2.20E-02 −2.02 y =exp(16.50 − 2.02 × x)1 + exp(16.50 − 2.02 × x) ≤ 7.94 76 66.7 0.72
(54.9–90.6) (41.0–86.7) (0.56–0.85)
AHDC1 3.60E-02 −2.87 y =exp(19.72 − 2.87 × x)1 + exp(19.72 − 2.87 × x) ≤ 6.79 88 55.6 0.69
(68.8–97.5) (30.8–78.5) (0.53–0.83)

AUC, area under the curve.