Project measure / variable:   Crabbe3   ARR2_pre_20rpm

ID, description, units MPD:15855   ARR2_pre_20rpm   latency to fall, accelerating rotarod, 20 rpm/min (ARR2)   [s]  baseline  
ethanol study
Data set, strains Crabbe3   inbred   21 strains     sex: both     age: 9-17wks
Procedure rotarod
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  STRAIN COMPARISON PLOT
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Crabbe3 - latency to fall, accelerating rotarod, 20 rpm/min (ARR2) baseline



  MEASURE SUMMARY
Measure Summary FemaleMale
Number of strains tested21 strains21 strains
Mean of the strain means59.2   s 55.1   s
Median of the strain means51.9   s 53.2   s
SD of the strain means± 22.9 ± 22.3
Coefficient of variation (CV)0.387 0.405
Min–max range of strain means32.2   –   106   s 27.3   –   98.8   s
Mean sample size per strain9.6   mice 9.4   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
sex 1 2386.6835 2386.6835 3.4994 0.0622
strain 20 190463.4394 9523.172 13.9632 < 0.0001
sex:strain 20 8767.5401 438.377 0.6428 0.8796
Residuals 349 238024.3639 682.0182


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
129S1/SvImJ f 34.1 15.8   10 5.0 0.463 8.0, 66.0 -1.1
129S1/SvImJ m 38.9 10.9   10 3.46 0.281 21.5, 56.5 -0.73
A/J f 39.2 19.8   8 6.99 0.504 16.5, 70.5 -0.87
A/J m 27.3 11.2   10 3.56 0.412 16.0, 48.0 -1.25
AKR/J f 51.7 19.3   10 6.1 0.373 28.5, 89.0 -0.33
AKR/J m 56.1 15.5   8 5.47 0.276 37.0, 88.5 0.04
BALB/cByJ f 51.0 19.1   10 6.03 0.374 24.0, 82.0 -0.36
BALB/cByJ m 45.4 23.2   10 7.34 0.512 15.5, 87.0 -0.44
BTBR T+ Itpr3tf/J f 63.2 39.6   12 11.4 0.627 7.5, 135.0 0.18
BTBR T+ Itpr3tf/J m 60.0 33.6   6 13.7 0.56 26.0, 117.0 0.22
C3H/HeJ f 34.8 10.9   10 3.45 0.313 19.0, 56.0 -1.06
C3H/HeJ m 44.6 11.6   8 4.11 0.26 26.5, 58.0 -0.47
C57BL/6J f 51.9 11.4   8 4.01 0.219 38.0, 76.0 -0.32
C57BL/6J m 41.4 13.7   10 4.32 0.33 22.0, 59.5 -0.62
C57L/J f 50.4 18.3   10 5.78 0.363 21.5, 73.0 -0.38
C57L/J m 39.8 14.4   8 5.1 0.362 27.5, 72.5 -0.69
C58/J f 74.4 40.7   10 12.9 0.547 19.0, 150.0 0.66
C58/J m 56.9 32.9   10 10.4 0.578 16.5, 106.0 0.08
CAST/EiJ f 88.9 43.3   8 15.3 0.487 40.5, 182.0 1.3
CAST/EiJ m 98.8 38.3   8 13.5 0.388 49.5, 170.0 1.96
DBA/2J f 33.9 16.2   10 5.12 0.478 11.5, 54.5 -1.1
DBA/2J m 29.6 10.4   8 3.69 0.353 16.0, 50.5 -1.14
FVB/NJ f 33.1 10.1   10 3.2 0.305 18.5, 47.5 -1.14
FVB/NJ m 30.5 15.0   11 4.52 0.492 16.5, 57.5 -1.1
MOLF/EiJ f 56.8 21.9   8 7.73 0.385 18.0, 93.0 -0.1
MOLF/EiJ m 64.7 20.7   7 7.81 0.319 44.5, 102.0 0.43
NOD/ShiLtJ f 91.0 25.1   12 7.26 0.276 37.0, 132.0 1.39
NOD/ShiLtJ m 93.0 25.3   12 7.3 0.272 54.0, 142.0 1.7
NZB/BlNJ f 32.2 6.48   6 2.64 0.201 26.0, 43.5 -1.18
NZB/BlNJ m 32.3 8.26   12 2.39 0.256 20.0, 50.0 -1.02
PERA/EiJ f 106.0 48.4   10 15.3 0.455 59.5, 192.0 2.04
PERA/EiJ m 84.6 58.1   12 16.8 0.687 28.0, 215.0 1.32
PL/J f 82.1 26.2   12 7.56 0.319 46.5, 121.0 1.0
PL/J m 65.6 21.0   8 7.42 0.32 32.5, 93.0 0.47
SJL/J f 36.2 13.0   8 4.58 0.358 17.5, 54.0 -1.0
SJL/J m 36.3 13.4   12 3.87 0.369 23.0, 65.5 -0.84
SM/J f 66.9 23.4   14 6.26 0.35 28.5, 99.5 0.34
SM/J m 63.2 24.7   10 7.81 0.391 35.5, 106.0 0.36
SPRET/EiJ f 78.8 23.4   3 13.5 0.296 53.5, 99.5 0.86
SPRET/EiJ m 53.2 0.354   2   0.25 0.00664 53.0, 53.5 -0.09
SWR/J f 86.1 33.4   10 10.6 0.388 33.5, 138.0 1.18
SWR/J m 95.9 40.5   10 12.8 0.422 55.5, 194.0 1.83


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ f 34.15 8.2584 50.3926 17.9074
129S1/SvImJ m 38.9 8.2584 55.1426 22.6574
A/J f 39.25 9.2332 57.4097 21.0903
A/J m 27.3 8.2584 43.5426 11.0574
AKR/J f 51.7 8.2584 67.9426 35.4574
AKR/J m 56.125 9.2332 74.2847 37.9653
BALB/cByJ f 51.0 8.2584 67.2426 34.7574
BALB/cByJ m 45.4 8.2584 61.6426 29.1574
BTBR T+ Itpr3tf/J f 63.2083 7.5389 78.0357 48.381
BTBR T+ Itpr3tf/J m 60.0 10.6616 80.9691 39.0309
C3H/HeJ f 34.8 8.2584 51.0426 18.5574
C3H/HeJ m 44.625 9.2332 62.7847 26.4653
C57BL/6J f 51.875 9.2332 70.0347 33.7153
C57BL/6J m 41.4 8.2584 57.6426 25.1574
C57L/J f 50.35 8.2584 66.5926 34.1074
C57L/J m 39.8125 9.2332 57.9722 21.6528
C58/J f 74.4 8.2584 90.6426 58.1574
C58/J m 56.85 8.2584 73.0926 40.6074
CAST/EiJ f 88.875 9.2332 107.0347 70.7153
CAST/EiJ m 98.75 9.2332 116.9097 80.5903
DBA/2J f 33.9 8.2584 50.1426 17.6574
DBA/2J m 29.5625 9.2332 47.7222 11.4028
FVB/NJ f 33.1 8.2584 49.3426 16.8574
FVB/NJ m 30.4545 7.8741 45.9412 14.9679
MOLF/EiJ f 56.8125 9.2332 74.9722 38.6528
MOLF/EiJ m 64.7143 9.8707 84.1279 45.3007
NOD/ShiLtJ f 91.0 7.5389 105.8274 76.1726
NOD/ShiLtJ m 93.0 7.5389 107.8274 78.1726
NZB/BlNJ f 32.1667 10.6616 53.1357 11.1976
NZB/BlNJ m 32.3333 7.5389 47.1607 17.506
PERA/EiJ f 106.3 8.2584 122.5426 90.0574
PERA/EiJ m 84.625 7.5389 99.4524 69.7976
PL/J f 82.125 7.5389 96.9524 67.2976
PL/J m 65.5625 9.2332 83.7222 47.4028
SJL/J f 36.1875 9.2332 54.3472 18.0278
SJL/J m 36.2917 7.5389 51.119 21.4643
SM/J f 66.8571 6.9797 80.5846 53.1297
SM/J m 63.2 8.2584 79.4426 46.9574
SPRET/EiJ f 78.8333 15.0778 108.4881 49.1786
SPRET/EiJ m 53.25 18.4664 89.5695 16.9305
SWR/J f 86.1 8.2584 102.3426 69.8574
SWR/J m 95.9 8.2584 112.1426 79.6574


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ both 36.525 5.8396 48.0102 25.0398
A/J both 33.275 6.1938 45.4569 21.0931
AKR/J both 53.9125 6.1938 66.0944 41.7306
BALB/cByJ both 48.2 5.8396 59.6852 36.7148
BTBR T+ Itpr3tf/J both 61.6042 6.5289 74.445 48.7633
C3H/HeJ both 39.7125 6.1938 51.8944 27.5306
C57BL/6J both 46.6375 6.1938 58.8194 34.4556
C57L/J both 45.0813 6.1938 57.2632 32.8993
C58/J both 65.625 5.8396 77.1102 54.1398
CAST/EiJ both 93.8125 6.5289 106.6534 80.9716
DBA/2J both 31.7312 6.1938 43.9132 19.5493
FVB/NJ both 31.7773 5.7053 42.9984 20.5561
MOLF/EiJ both 60.7634 6.758 74.055 47.4718
NOD/ShiLtJ both 92.0 5.3308 102.4845 81.5155
NZB/BlNJ both 32.25 6.5289 45.0909 19.4091
PERA/EiJ both 95.4625 5.591 106.4588 84.4662
PL/J both 73.8438 5.96 85.5658 62.1217
SJL/J both 36.2396 5.96 47.9616 24.5175
SM/J both 65.0286 5.4064 75.6618 54.3953
SPRET/EiJ both 66.0417 11.92 89.4858 42.5975
SWR/J both 91.0 5.8396 102.4852 79.5148




  GWAS USING LINEAR MIXED MODELS