Project measure / variable:   Jentsch1   acq_latency_trial

ID, description, units MPD:40304   acq_latency_trial   average latency to initiate trial, acquisition phase   [s]  
Data set, strains Jentsch1   BXD w/par   53 strains     sex: m     age: 17wks
Procedure operant conditioning chamber
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  STRAIN COMPARISON PLOT
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Jentsch1 - average latency to initiate trial, acquisition phase



  MEASURE SUMMARY
Measure Summary Male
Number of strains tested53 strains
Mean of the strain means60.9   s
Median of the strain means40.0   s
SD of the strain means± 71.1
Coefficient of variation (CV)1.17
Min–max range of strain means6.00   –   478   s
Mean sample size per strain3.3   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
strain 52 832476.6061 16009.1655 3.5318 < 0.0001
Residuals 123 557535.4943 4532.8089


Q-Q normality assessment based on residuals

  


  STRAIN MEANS (UNADJUSTED)
  
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Strain Sex Mean SD N mice SEM CV Min, Max Z score
BXD100/RwwJ m 100.0 37.9   5 17.0 0.378 51.1, 150.0 0.55
BXD102/RwwJ m 51.5 40.0   5 17.9 0.777 18.3, 116.0 -0.13
BXD12/TyJ m 58.4 47.4   2   33.5 0.811 24.9, 91.9 -0.03
BXD13/TyJ m 40.0 10.1   2   7.15 0.252 32.9, 47.2 -0.29
BXD14/TyJ m 45.0 9.69   2   6.85 0.216 38.1, 51.8 -0.22
BXD16/TyJ m 26.2 15.4   2   10.9 0.588 15.3, 37.1 -0.49
BXD18/TyJ m 6.0 2.12   2   1.5 0.354 4.5, 7.5 -0.77
BXD1/TyJ m 71.0 87.5   5 39.1 1.23 8.5, 222.0 0.14
BXD22/TyJ m 34.3 3.39   2   2.4 0.099 31.9, 36.7 -0.37
BXD24/TyJ m 224.0 169.0   5 75.8 0.755 95.2, 509.0 2.3
BXD25/TyJ m 126.0 12.7   2   9.0 0.101 117.0, 135.0 0.92
BXD29-Tlr4lps-2J/J m 73.2 37.5   2   26.5 0.512 46.7, 99.7 0.17
BXD2/TyJ m 142.0 41.0   2   29.0 0.289 113.0, 171.0 1.14
BXD31/TyJ m 32.7 19.0   4 9.52 0.582 9.3, 54.8 -0.4
BXD32/TyJ m 38.2 23.0   4 11.5 0.602 21.0, 70.2 -0.32
BXD34/TyJ m 22.7 12.3   6 5.01 0.541 9.2, 38.5 -0.54
BXD36/TyJ m 52.1 30.4   2   21.5 0.584 30.6, 73.6 -0.12
BXD38/TyJ m 39.9 27.7   4 13.8 0.695 17.3, 80.2 -0.29
BXD39/TyJ m 478.0 365.0   3 211.0 0.764 132.0, 860.0 5.87
BXD40/TyJ m 77.4 52.2   5 23.3 0.674 25.4, 165.0 0.23
BXD42/TyJ m 32.3 24.4   5 10.9 0.756 13.6, 74.5 -0.4
BXD43/RwwJ m 29.9 17.1   4 8.57 0.573 14.2, 52.7 -0.44
BXD44/RwwJ m 26.9 10.3   2   7.3 0.384 19.6, 34.2 -0.48
BXD45/RwwJ m 42.5 12.7   2   8.95 0.297 33.6, 51.5 -0.26
BXD48a/RwwJ m 22.6 9.8   4 4.9 0.435 14.5, 36.3 -0.54
BXD49/RwwJ m 24.3 8.06   2   5.7 0.332 18.6, 30.0 -0.51
BXD50/RwwJ m 45.0 29.3   4 14.7 0.652 17.1, 78.4 -0.22
BXD51/RwwJ m 31.9 16.5   3 9.52 0.518 21.7, 50.9 -0.41
BXD55/RwwJ m 34.5 23.6   3 13.6 0.684 7.3, 49.4 -0.37
BXD56/RwwJ m 22.1 18.5   2   13.1 0.838 9.0, 35.2 -0.55
BXD60/RwwJ m 54.5 68.5   2   48.4 1.26 6.1, 103.0 -0.09
BXD61/RwwJ m 155.0 127.0   3 73.4 0.82 62.2, 300.0 1.32
BXD62/RwwJ m 49.5 37.1   5 16.6 0.749 17.3, 108.0 -0.16
BXD65/RwwJ m 18.9 9.55   2   6.75 0.504 12.2, 25.7 -0.59
BXD66/RwwJ m 32.1 5.87   2   4.15 0.183 28.0, 36.3 -0.4
BXD68/RwwJ m 27.9 16.2   6 6.6 0.578 7.5, 52.5 -0.46
BXD70/RwwJ m 115.0 40.1   3 23.1 0.348 78.8, 158.0 0.76
BXD71/RwwJ m 24.1 6.41   4 3.21 0.266 16.4, 30.9 -0.52
BXD73a/RwwJ m 39.8 34.5   5 15.4 0.866 13.7, 98.6 -0.3
BXD73b/RwwJ m 25.3 21.8   4 10.9 0.863 4.0, 52.1 -0.5
BXD73/RwwJ m 15.9 1.13   2   0.8 0.0712 15.1, 16.7 -0.63
BXD75/RwwJ m 53.5 22.0   5 9.82 0.41 31.4, 87.0 -0.1
BXD77/RwwJ m 122.0 139.0   2   98.2 1.14 23.6, 220.0 0.86
BXD83/RwwJ m 42.0 22.0   4 11.0 0.524 12.6, 63.9 -0.27
BXD84/RwwJ m 36.2 40.1   3 23.2 1.11 11.4, 82.5 -0.35
BXD85/RwwJ m 58.9 39.7   5 17.7 0.673 22.1, 122.0 -0.03
BXD86/RwwJ m 49.8 28.6   4 14.3 0.574 24.8, 78.6 -0.16
BXD89/RwwJ m 58.1 71.1   3 41.0 1.22 12.6, 140.0 -0.04
BXD90/RwwJ m 20.6 11.3   2   8.0 0.549 12.6, 28.6 -0.57
BXD95/RwwJ m 78.6 11.7   2   8.3 0.149 70.3, 86.9 0.25
BXD98/RwwJ m 16.3 5.23   2   3.7 0.321 12.6, 20.0 -0.63
C57BL/6J m 55.7 19.3   5 8.62 0.346 22.8, 69.7 -0.07
DBA/2J m 25.4 19.2   4 9.62 0.758 13.5, 54.0 -0.5


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
BXD100/RwwJ m 100.24 30.1092 159.8392 40.6408
BXD102/RwwJ m 51.54 30.1092 111.1392 0.0
BXD12/TyJ m 58.4 47.6068 152.6347 0.0
BXD13/TyJ m 40.05 47.6068 134.2847 0.0
BXD14/TyJ m 44.95 47.6068 139.1847 0.0
BXD16/TyJ m 26.2 47.6068 120.4347 0.0
BXD18/TyJ m 6.0 47.6068 100.2347 0.0
BXD1/TyJ m 71.02 30.1092 130.6192 11.4208
BXD22/TyJ m 34.3 47.6068 128.5347 0.0
BXD24/TyJ m 224.24 30.1092 283.8392 164.6408
BXD25/TyJ m 126.0 47.6068 220.2347 31.7653
BXD29-Tlr4lps-2J/J m 73.2 47.6068 167.4347 0.0
BXD2/TyJ m 142.0 47.6068 236.2347 47.7653
BXD31/TyJ m 32.7 33.6631 99.334 0.0
BXD32/TyJ m 38.15 33.6631 104.784 0.0
BXD34/TyJ m 22.6833 27.4858 77.0898 0.0
BXD36/TyJ m 52.1 47.6068 146.3347 0.0
BXD38/TyJ m 39.85 33.6631 106.484 0.0
BXD39/TyJ m 478.3333 38.8708 555.2756 401.391
BXD40/TyJ m 77.38 30.1092 136.9792 17.7808
BXD42/TyJ m 32.28 30.1092 91.8792 0.0
BXD43/RwwJ m 29.925 33.6631 96.559 0.0
BXD44/RwwJ m 26.9 47.6068 121.1347 0.0
BXD45/RwwJ m 42.55 47.6068 136.7847 0.0
BXD48a/RwwJ m 22.55 33.6631 89.184 0.0
BXD49/RwwJ m 24.3 47.6068 118.5347 0.0
BXD50/RwwJ m 45.0 33.6631 111.634 0.0
BXD51/RwwJ m 31.8667 38.8708 108.809 0.0
BXD55/RwwJ m 34.5 38.8708 111.4423 0.0
BXD56/RwwJ m 22.1 47.6068 116.3347 0.0
BXD60/RwwJ m 54.55 47.6068 148.7847 0.0
BXD61/RwwJ m 155.0667 38.8708 232.009 78.1244
BXD62/RwwJ m 49.52 30.1092 109.1192 0.0
BXD65/RwwJ m 18.95 47.6068 113.1847 0.0
BXD66/RwwJ m 32.15 47.6068 126.3847 0.0
BXD68/RwwJ m 27.9333 27.4858 82.3398 0.0
BXD70/RwwJ m 114.9333 38.8708 191.8756 37.991
BXD71/RwwJ m 24.1 33.6631 90.734 0.0
BXD73a/RwwJ m 39.84 30.1092 99.4392 0.0
BXD73b/RwwJ m 25.3 33.6631 91.934 0.0
BXD73/RwwJ m 15.9 47.6068 110.1347 0.0
BXD75/RwwJ m 53.54 30.1092 113.1392 0.0
BXD77/RwwJ m 121.8 47.6068 216.0347 27.5653
BXD83/RwwJ m 42.025 33.6631 108.659 0.0
BXD84/RwwJ m 36.2 38.8708 113.1423 0.0
BXD85/RwwJ m 58.94 30.1092 118.5392 0.0
BXD86/RwwJ m 49.825 33.6631 116.459 0.0
BXD89/RwwJ m 58.1 38.8708 135.0423 0.0
BXD90/RwwJ m 20.6 47.6068 114.8347 0.0
BXD95/RwwJ m 78.6 47.6068 172.8347 0.0
BXD98/RwwJ m 16.3 47.6068 110.5347 0.0
C57BL/6J m 55.74 30.1092 115.3392 0.0
DBA/2J m 25.375 33.6631 92.009 0.0




  GWAS USING LINEAR MIXED MODELS