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Pheno measurements correlated to your selected measurements

Pearson correlation p value
must be p ≤


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At least
strains
in common
are required
Include:
females and males
females only
males only

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More info on correlations


Your selected measurement:
behavior — stress reactivity         tail suspension test  
Gershenfeld1
TST_post_saline   tail suspension test (TST, dur=6min) total duration of immobility, control group, after saline   [s]
12 strains   age 5-10wks
  Inbred
 

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Correlated measurement from anywhere in MPD
(organized by category)
Sex Pearson
r
p value
on r
Spearman
rs
# strains
in
common
Click
for
scatterplot
Log-
improved
Pearson
behavior – stress reactivity
Gershenfeld1   TST_pre_saline  
tail suspension test (TST, dur=6min) total duration of immobility, control group, baseline
male 0.76 p = 0.0039 0.75 12 Plot 0.80
Gershenfeld1   TST_preRx  
tail suspension test (TST, dur=6min), total duration of immobility, imipramine group, baseline
male 0.76 p = 0.0041 0.73 12 Plot  
blood – hematology – cell counts – RBC – reticulocytes
CGDpheno1   pct_Retic  
reticulocyte differential (percent of total RBC)
male 0.91 p = 0.0020 0.86 8 Plot  
body composition – fat
Ackert1   pctfat_M06  
percent fat of body mass, head excluded (age 6mo)
male –0.84 p = 0.0090 –0.57 8 Plot -0.89
liver – weight
Paigen1   liverweight  
liver weight at sacrifice (high-fat diet 8wks)
male –0.84 p = 0.0044 –0.78 9 Plot  
metabolism – food intake
Tordoff2   fiavg  
daily average food intake
male –0.92 p = 0.0011 –0.83 8 Plot  
respiratory – breathing pattern
Berndt2   penh_mch5  
enhanced pause (Penh) (methacholine 5mg/mL)
male –0.93 p = 0.0003 –0.80 9 Plot -0.96
Berndt2   penh_mch10  
enhanced pause (Penh) (methacholine 10mg/mL)
male –0.86 p = 0.0030 –0.83 9 Plot  
 

8 rows

Reciprocals are included in the above list.

Correlations where Pearson r < 0.5 are not retained and will not appear in the above list.

All correlations available through MPD are mathematical correlations provided for exploratory use, and are not necessarily biologically significant. Additional forms of validation are required. Most correlations are based on strain mean data points which have varying degrees of quality, preciseness, and normality of distribution, and this is generally not taken into account in correlation strength metrics.




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