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Pheno measurements correlated to your selected measurements

Pearson correlation p value
must be p ≤


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females only
males only

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Your selected measurement:
liver — mineral homeostasis         mass spectrometry  
Vulpe1
copper   copper (Cu) content in liver (dry weight)   [µg/g] 18 strains   age 8wks
  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 – locomotor activity
Thomsen2   activ_D1_doseA  
total activity (horizontal plus vertical beam breaks), 3h session (R-6-Br-APB 0.03 mg/kg i.p.)
male 0.86 p = 0.0029 0.53 9 Plot  
Crowley1   horizontal_actd30  
total distance traveled (dur=60min), day 30 (haloperidol 30d)
male 0.82 p = 0.0038 0.67 10 Plot  
Thomsen2   activ_D2_doseA  
total activity (horizontal plus vertical beam breaks), 3h session (quinelorane 0.03 mg/kg i.p.)
male 0.84 p = 0.0046 0.44 9 Plot  
Thomsen2   activ_D2_0  
total activity (horizontal plus vertical beam breaks), 3h session
male 0.84 p = 0.0051 0.64 9 Plot  
Thomsen2   activ_D1_0  
total activity (horizontal plus vertical beam breaks), 3h session
male 0.83 p = 0.0053 0.57 9 Plot  
behavior – visuospatial learning
Brown2   probe_corr_ent  
probe trial correct quadrant total entries
male 0.77 p = 0.0091 0.78 10 Plot  
behavior – wildness
Wahlsten2   nflee  
number of tests with escapes
male 0.78 p = 0.0078 0.74 10 Plot  
blood – clinical chemistry – enzymes
Threadgill1   AST_ctrl  
aspartate aminotransferase (serum AST; SGOT)
male 0.88 p = 0.0008 0.68 10 Plot  
blood – clinical chemistry – urea nitrogen
Yuan3   BUN_M06  
blood urea nitrogen (plasma BUN) (age 6mo)
female 0.77 p = 0.0059 0.69 11 Plot  
blood – hematology – cell counts – RBC – reticulocytes
Peters1   Retic  
reticulocyte differential (percent of total RBC)
male 0.70 p = 0.0080 0.67 13 Plot  
blood – hematology – cell counts – WBC – neutrophils
Peters4   NEUT_M12  
neutrophil count (NEUT; units per volume x 103) (age 12mo)
male –0.79 p = 0.0065 –0.65 10 Plot  
Petkova1   NEUT_M06  
neutrophils (percent of viable WBC) (age 6mo)
female –0.71 p = 0.0096 –0.61 12 Plot  
blood – hematology – platelets
Peters1   PLT  
platelet count (PLT; units per volume x 103)
male 0.82 p = 0.0007 0.76 13 Plot  
Peters4   MPV_M18  
mean platelet volume (MPV) (age 18mo)
male –0.84 p = 0.0043 –0.70 9 Plot  
Peters1   PLT  
platelet count (PLT; units per volume x 103)
female 0.67 p = 0.0082 0.51 14 Plot  
blood – hematology – RBC parameters
Peters1   RDW  
RBC corpuscular distribution width (RDW)
male 0.75 p = 0.0029 0.64 13 Plot 0.78
blood – lipids – cholesterol – HDL
Albers1   HDLsize_fat  
HDL peak size (high-fat diet 6wks)
female 0.89 p = 0.0012 0.88 9 Plot  
Albers1   HDLC_chow  
HDL cholesterol
female 0.87 p = 0.0021 0.76 9 Plot  
Albers1   largeHDL_fat  
percentage of large HDL particles (10-13 nm) (high-fat diet 6wks)
female 0.85 p = 0.0036 0.71 9 Plot  
blood – lipids – cholesterol – total
Albers1   chol_chow  
total cholesterol
female 0.86 p = 0.0026 0.49 9 Plot  
body composition – fat
Donahue1   pct_fat  
percent of body mass that is fat, head excluded
male –0.85 p = 0.0009 –0.81 11 Plot  
Donahue1   fat_wt  
weight of fat portion of body mass, head excluded
male –0.74 p = 0.0092 –0.71 11 Plot -0.77
body weight size and growth – body weight
Deschepper1   bw  
body weight
male –0.89 p = 0.0030 –0.54 8 Plot  
Handel1   BW  
body weight
male –0.84 p = 0.0086 –0.55 8 Plot  
cardiovascular – heart rate
Maurer1   pulse_at  
pulse rate (atenolol 10mg/kg)
male –0.83 p = 0.0018 –0.83 11 Plot  
cardiovascular – heart weight
Maurer1   atria_adjwt_at  
atria weight index (atria weight/bw final) (atenolol 10mg/kg)
male 0.82 p = 0.0019 0.90 11 Plot  
immune system – cell counts – peripheral blood
Petkova1   NK_M12  
natural killer (NK) cells (as percent of total lymphocytes) (age 12mo)
male –0.89 p = 0.0005 –0.73 10 Plot  
ingestive preference – salt solutions
Tordoff1   NaCl_pref150  
preference for 150 mM NaCl solution
male 0.91 p = 0.0001 0.80 11 Plot  
Tordoff1   NaCl_pref300  
preference for 300 mM NaCl solution
male 0.86 p = 0.0007 0.86 11 Plot 0.91
Tordoff1   NaCl_pref75  
preference for 75 mM NaCl solution
male 0.77 p = 0.0052 0.72 11 Plot  
Tordoff3   NaCl_pref225  
preference for 225mM NaCl solution
male 0.73 p = 0.0071 0.56 12 Plot 0.76
liver – mineral homeostasis
Vulpe1   zinc  
zinc (Zn) content in liver (dry weight)
female 0.60 p = 0.0080 0.47 18 Plot  
liver – protein homeostasis
Threadgill1   GSHratio_Rx300  
ratio of reduced to oxidized glutathione, liver median lobe (acetaminophen 300mg/kg)
male 0.81 p = 0.0047 0.34 10 Plot  
metabolism – respiratory
Seburn1   VCO2_light  
carbon dioxide volume, light 12h period
male 0.87 p = 0.0048 0.90 8 Plot  
nervous system – neuromuscular function
Xing2   gait_score_M18  
gait score (1-3) (age 18mo)
female 0.80 p = 0.0033 0.49 11 Plot 0.83
reproduction – fecundity
Jax5   parenting_index  
wean to born ratio per dam, adjusted for biological parameters
female –0.69 p = 0.0066 –0.42 14 Plot  
respiratory – breathing pattern
Berndt2   exp_flow_saline  
expiratory flow rate (Vt/Te), saline
male 0.84 p = 0.0026 0.88 10 Plot  
Berndt2   min_vent_saline  
minute ventilation (MV), saline
male 0.82 p = 0.0040 0.87 10 Plot  
Berndt2   resp_flow_saline  
respiratory flow rate (Vt/Ttot), saline
male 0.82 p = 0.0041 0.82 10 Plot  
Berndt2   breath_freq_saline  
breath frequency (F), saline
male 0.80 p = 0.0054 0.79 10 Plot 0.84
Berndt2   tot_respi_saline  
total respiratory time (Ttot), saline
male –0.77 p = 0.0087 –0.77 10 Plot -0.83
Berndt2   expiratory_saline  
expiratory time (Te), saline
male –0.77 p = 0.0091 –0.77 10 Plot -0.82
Berndt2   min_vent_mch5  
minute ventilation (MV) (methacholine 5mg/mL)
male 0.77 p = 0.0099 0.58 10 Plot  
 

43 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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