Project measure / variable:   CSNA03   antici_correct_in_acq_Binghamton

ID, description, units MPD:112887   antici_correct_in_acq_Binghamton   mean number of anticipatory nose pokes made in correct flanking hole without prior successful nose poke in central hole (reversal learning assay), founders   [n]  acquisition  
Data set, strains CSNA03   inbred w/CC8   8 strains     sex: both     age:
Procedure operant conditioning chamber
Ontology mappings

  STRAIN COMPARISON PLOT
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CSNA03 - mean number of anticipatory nose pokes made in correct flanking hole without prior successful nose poke in central hole (reversal learning assay), founders acquisition



  MEASURE SUMMARY
Measure Summary FemaleMale
Number of strains tested8 strains8 strains
Mean of the strain means0.54132   n 0.50011   n
Median of the strain means0.51199   n 0.39846   n
SD of the strain means± 0.32625 ± 0.316
Coefficient of variation (CV)0.6027 0.6319
Min–max range of strain means0.16607   –   0.9991   n 0.15792   –   1.0258   n
Mean sample size per strain5.6   mice 4.8   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
sex 1 0.0047 0.0047 0.0253 0.874
strain 7 6.8268 0.9753 5.2816 < 0.0001
sex:strain 7 1.0179 0.1454 0.7875 0.6002
Residuals 67 12.3716 0.1847


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 0.56988 0.5929   7 0.22409 1.0404 0.116, 1.8167 0.09
129S1/SvImJ m 0.87891 0.7522   5 0.33639 0.8558 0.14754, 2.014 1.2
A/J f 0.9991 0.63424   6 0.25893 0.6348 0.41379, 2.193 1.4
A/J m 1.0258 0.54471   6 0.22238 0.531 0.45, 1.75 1.66
C57BL/6J f 0.45409 0.17936   5 0.08021 0.395 0.2, 0.63115 -0.27
C57BL/6J m 0.34176 0.24728   6 0.10095 0.7236 0.04167, 0.6428 -0.5
CAST/EiJ f 0.16607 0.05364   7 0.02027 0.323 0.1, 0.2476 -1.15
CAST/EiJ m 0.15792 0.11174   4 0.05587 0.7076 0.0123, 0.25 -1.08
NOD/ShiLtJ f 0.66642 0.4562   5 0.20402 0.6845 0.24, 1.1611 0.38
NOD/ShiLtJ m 0.61843 0.42789   4 0.21394 0.6919 0.1746, 1.0751 0.37
NZO/HlLtJ f 0.97792 0.70025   5 0.31316 0.7161 0.2168, 1.8478 1.34
NZO/HlLtJ m 0.41559 0.23676   4 0.11838 0.5697 0.18571, 0.7 -0.27
PWK/PhJ f 0.18303 0.16886   5 0.07551 0.9226 0.03, 0.42 -1.1
PWK/PhJ m 0.18113 0.09349   5 0.04181 0.5162 0.09, 0.31297 -1.01
WSB/EiJ f 0.31408 0.20752   5 0.0928 0.6607 0.09, 0.6315 -0.7
WSB/EiJ m 0.38132 0.2468   4 0.1234 0.6472 0.02174, 0.576 -0.38


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ f 0.5698771429 0.1624153489 0.8940595361 0.2456947496
129S1/SvImJ m 0.878908 0.1921724324 1.2624857806 0.4953302194
A/J f 0.9990983333 0.175428627 1.3492553383 0.6489413284
A/J m 1.0258333333 0.175428627 1.3759903383 0.6756763284
C57BL/6J f 0.454088 0.1921724324 0.8376657806 0.0705102194
C57BL/6J m 0.3417616667 0.175428627 0.6919186716 -0.0083953383
CAST/EiJ f 0.1660714286 0.1624153489 0.4902538218 -0.1581109647
CAST/EiJ m 0.1579175 0.2148553112 0.586770496 -0.270935496
NOD/ShiLtJ f 0.66642 0.1921724324 1.0499977806 0.2828422194
NOD/ShiLtJ m 0.618425 0.2148553112 1.047277996 0.189572004
NZO/HlLtJ f 0.97792 0.1921724324 1.3614977806 0.5943422194
NZO/HlLtJ m 0.415595 0.2148553112 0.844447996 -0.013257996
PWK/PhJ f 0.183026 0.1921724324 0.5666037806 -0.2005517806
PWK/PhJ m 0.181126 0.1921724324 0.5647037806 -0.2024517806
WSB/EiJ f 0.31408 0.1921724324 0.6976577806 -0.0694977806
WSB/EiJ m 0.38132 0.2148553112 0.810172996 -0.047532996


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ both 0.7243925714 0.1258063883 0.9755031735 0.4732819694
A/J both 1.0124658333 0.1240467717 1.260064226 0.7648674407
C57BL/6J both 0.3979248333 0.1301013518 0.6576082184 0.1382414483
CAST/EiJ both 0.1619944643 0.1346676931 0.4307923048 -0.1068033762
NOD/ShiLtJ both 0.6424225 0.1441293243 0.9301058354 0.3547391646
NZO/HlLtJ both 0.6967575 0.1441293243 0.9844408354 0.4090741646
PWK/PhJ both 0.182076 0.1358864301 0.4533064497 -0.0891544497
WSB/EiJ both 0.3477 0.1441293243 0.6353833354 0.0600166646




  GWAS USING LINEAR MIXED MODELS