Project measure / variable:   CSNA03   reward_time_in_rev_JAX

ID, description, units MPD:110478   reward_time_in_rev_JAX   latency to retrieve reward per total correct responses (reversal learning assay), founders   [centiseconds/n]  reversal  
Data set, strains CSNA03   inbred w/CC8   8 strains     sex: both     age:
Procedure operant conditioning chamber
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  STRAIN COMPARISON PLOT
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CSNA03 - latency to retrieve reward per total correct responses (reversal learning assay), founders reversal



  MEASURE SUMMARY
Measure Summary FemaleMale
Number of strains tested8 strains8 strains
Mean of the strain means201.8   centiseconds/n 218.6   centiseconds/n
Median of the strain means222.4   centiseconds/n 220.6   centiseconds/n
SD of the strain means± 52.08 ± 62.9
Coefficient of variation (CV)0.258 0.2877
Min–max range of strain means137.0   –   252.9   centiseconds/n 134.9   –   320.9   centiseconds/n
Mean sample size per strain7.6   mice 6.9   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
sex 1 5292.2493 5292.2493 2.3231 0.1306
strain 7 260006.9341 37143.8477 16.3044 < 0.0001
sex:strain 7 29320.2179 4188.6026 1.8386 0.088
Residuals 100 227814.6497 2278.1465


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 144.8 28.215   3 16.29 0.1949 113.7, 168.8 -1.1
129S1/SvImJ m 165.7 51.69   4 25.846 0.312 128.8, 242.2 -0.84
A/J f 252.9 24.859   6 10.149 0.0983 223.2, 279.4 0.98
A/J m 230.7 42.68   5 19.087 0.185 171.5, 275.6 0.19
C57BL/6J f 252.0 45.023   14 12.033 0.1787 164.7, 316.6 0.96
C57BL/6J m 258.5 47.543   11 14.335 0.1839 174.7, 342.9 0.63
CAST/EiJ f 232.1 46.756   10 14.785 0.2014 147.2, 317.2 0.58
CAST/EiJ m 320.9 55.09   8 19.476 0.1717 247.5, 396.1 1.63
NOD/ShiLtJ f 140.8 49.11   8 17.363 0.3487 78.72, 248.9 -1.17
NOD/ShiLtJ m 161.1 27.301   11 8.2316 0.1695 116.9, 197.8 -0.91
NZO/HlLtJ f 137.0 17.722   3 10.232 0.1294 125.4, 157.4 -1.24
NZO/HlLtJ m 134.9 11.243   2   7.95 0.0834 126.9, 142.8 -1.33
PWK/PhJ f 242.4 51.19   9 17.064 0.2112 179.0, 324.3 0.78
PWK/PhJ m 266.7 67.04   8 23.703 0.2513 204.0, 365.8 0.76
WSB/EiJ f 212.7 38.652   8 13.666 0.1817 174.6, 287.8 0.21
WSB/EiJ m 210.4 77.44   6 31.614 0.368 99.33, 310.1 -0.13


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ f 144.7666666667 27.5568896209 199.4387508136 90.0945825197
129S1/SvImJ m 165.7 23.864966461 213.0474137491 118.3525862509
A/J f 252.8833333333 19.4856635193 291.5423347753 214.2243318914
A/J m 230.68 21.345474915 273.0288142807 188.3311857193
C57BL/6J f 252.0071428571 12.7563611491 277.315400057 226.6988856573
C57BL/6J m 258.5181818182 14.3911162519 287.0697465817 229.9666170546
CAST/EiJ f 232.13 15.09353006 262.0751337531 202.1848662469
CAST/EiJ m 320.8625 16.8750796174 354.3421773336 287.3828226664
NOD/ShiLtJ f 140.84 16.8750796174 174.3196773336 107.3603226664
NOD/ShiLtJ m 161.0909090909 14.3911162519 189.6424738545 132.5393443274
NZO/HlLtJ f 137.0 27.5568896209 191.672084147 82.327915853
NZO/HlLtJ m 134.85 33.7501592347 201.8093546673 67.8906453327
PWK/PhJ f 242.3666666667 15.9099776407 273.9316091661 210.8017241673
PWK/PhJ m 266.7375 16.8750796174 300.2171773336 233.2578226664
WSB/EiJ f 212.6875 16.8750796174 246.1671773336 179.2078226664
WSB/EiJ m 210.4383333333 19.4856635193 249.0973347753 171.7793318914


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ both 155.2333333333 18.2271692108 191.395517911 119.0711487557
A/J both 241.7816666667 14.4509548312 270.4519494673 213.111383866
C57BL/6J both 255.2626623377 9.615469005 274.3394789808 236.1858456945
CAST/EiJ both 276.49625 11.320147545 298.9551003148 254.0373996852
NOD/ShiLtJ both 150.9654545455 11.0890998177 172.9659127498 128.9649963411
NZO/HlLtJ both 135.925 21.785634108 179.1470775832 92.7029224168
PWK/PhJ both 254.5520833333 11.5962892838 277.558790993 231.5453756736
WSB/EiJ both 211.5629166667 12.8885549508 237.133442604 185.9923907293




  GWAS USING LINEAR MIXED MODELS