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Table 2 The empirical Bayesian estimates of the top 27 marker (main) effects.

From: Genomic value prediction for quantitative traits under the epistatic model

Marker Variance Effect StdErr LOD p- value H
M56 1.0181 1.0016 0.1228 14.44 0.0000 0.1303
M8 0.7492 0.8581 0.1118 12.77 0.0000 0.0980
M44 0.4744 -0.6783 0.1193 7.01 0.0000 0.0562
M39 0.4328 -0.6466 0.1217 6.13 0.0000 0.0525
M12 0.3084 -0.5437 0.1134 4.98 0.0000 0.0384
M22 0.3108 0.5455 0.1143 4.94 0.0000 0.0399
M51 0.3114 0.5444 0.1228 4.26 0.0000 0.0375
M65 0.2437 0.4797 0.1163 3.69 0.0000 0.0304
M69 0.2126 -0.4477 0.1109 3.53 0.0001 0.0271
M53 0.2095 0.4439 0.1111 3.46 0.0001 0.0241
M15 0.2217 -0.4543 0.1240 2.91 0.0003 0.0270
M72 0.1711 -0.3989 0.1095 2.88 0.0003 0.0210
M26 0.1781 -0.4054 0.1167 2.62 0.0005 0.0203
M23 0.1909 -0.4192 0.1241 2.47 0.0007 0.0222
M42 0.1915 0.4188 0.1267 2.37 0.0010 0.0232
M60 0.1662 -0.3900 0.1185 2.35 0.0010 0.0191
M54 0.1506 -0.3712 0.1133 2.33 0.0011 0.0173
M25 0.1437 0.3625 0.1111 2.31 0.0011 0.0181
M10 0.1336 0.3492 0.1075 2.29 0.0012 0.0166
M36 0.1433 -0.3605 0.1150 2.13 0.0017 0.0167
M4 0.1363 0.3513 0.1138 2.07 0.0020 0.0158
M16 0.1171 -0.3233 0.1121 1.80 0.0039 0.0135
M34 0.1141 0.3187 0.1120 1.76 0.0044 0.0133
M61 0.0982 -0.2951 0.1055 1.70 0.0052 0.0118
M45 0.1027 -0.2997 0.1136 1.51 0.0083 0.0116
M5 0.0961 -0.2890 0.1121 1.44 0.0099 0.0106
M13 0.0802 -0.2619 0.1081 1.27 0.0154 0.0093
  1. The last column (H) gives the proportion of phenotypic variance contributed by each marker. The markers are sorted based on their LOD scores.