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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
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females and males
females only
males only

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More info on correlations


Your selected measurement:
blood — clinical chemistry — proteins — albumin         metabolic panel  
Yuan3
ALB_M12   albumin (plasma Alb)   [g/dL]
32 strains   age 12mo
  Inbred
 

Download this list as a tab-delimited file
 
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
blood – clinical chemistry – electrolytes
Tordoff3   ionized_Ca  
blood ionized calcium
male –0.54 p = 0.0059 –0.40 25 Plot  
blood – clinical chemistry – glucose
CGDpheno1   GLU  
glucose (plasma GLU, 4h fast)
female –0.52 p = 0.0078 –0.18 25 Plot -0.55
blood – clinical chemistry – proteins
Yuan3   TP_M12  
total protein (plasma TP) (age 12mo)
male 0.72 p < 0.0001 0.71 30 Plot  
Yuan3   TP_M12  
total protein (plasma TP) (age 12mo)
female 0.59 p = 0.0008 0.56 29 Plot 0.65
Yuan3   ALB_M18  
albumin (plasma Alb) (age 18mo)
male 0.51 p = 0.0085 0.47 25 Plot  
blood – clinical chemistry – urea nitrogen
CGDpheno1   BUN  
blood urea nitrogen (BUN)
female –0.58 p = 0.0021 –0.59 25 Plot  
blood – hematology – RBC parameters
Justice2   RDW  
RBC corpuscular distribution width (RDW)
female –0.77 p = 0.0054 –0.58 11 Plot -0.80
body composition – lean
Tordoff3   lean_wt  
weight of lean tissue, head excluded
male –0.55 p = 0.0048 –0.47 25 Plot  
body composition – total
Tordoff3   total_wt  
total weight (lean + fat), head excluded
male –0.55 p = 0.0047 –0.45 25 Plot  
body weight size and growth – body weight
Tordoff3   bw_end  
body weight at end of testing
male –0.58 p = 0.0026 –0.50 25 Plot  
Tordoff3   bw_start  
body weight at start of testing
male –0.57 p = 0.0031 –0.46 25 Plot  
Vinyard1   bw  
body weight
male –0.62 p = 0.0083 –0.59 17 Plot  
bone – morphology
Everett1   molar_arch  
mandible, anterior molar to posterior molar
male –0.80 p = 0.0057 –0.85 10 Plot  
brain – morphology
Wahlsten1   brain_pct  
brain weight at 12.5 weeks of age (after fixation and trimming) as a percent of body weight
male 0.77 p = 0.0012 0.74 14 Plot  
Wahlsten1   ac_area  
cross-sectional area of anterior commissure at midplane
female 0.79 p = 0.0013 0.65 13 Plot  
Wahlsten1   ac_index  
anterior commissure index (0=absent, 1=normal, <.60 is abnormal)
female 0.77 p = 0.0022 0.77 13 Plot  
Wahlsten1   ac_length  
length of anterior commissure at mid-sagittal plane
female 0.75 p = 0.0030 0.62 13 Plot  
cardiovascular – heart rate
Svenson1   pulse_sd  
pulse rate variability across tests
male –0.80 p = 0.0056 –0.88 10 Plot  
immune system – cell counts – peripheral blood
Petkova1   CD8_mem_effector_M12  
effector memory CD8 T cells (as percent of total CD8 T cells) (age 12mo)
male –0.51 p = 0.0051 –0.55 29 Plot  
Petkova1   CD8_all_M12  
CD8 T cells (as percent of total lymphocytes) (age 12mo)
female 0.51 p = 0.0054 0.48 28 Plot  
Petkova1   CD4_mem_effector_M24  
effector memory CD4 T cells (as percent of total CD4 T cells) (age 24mo)
male –0.77 p = 0.0061 –0.74 11 Plot  
Petkova1   CD4_naive_M24  
naive CD4 T cells (as percent of total CD4 T cells) (age 24mo)
male 0.74 p = 0.0085 0.68 11 Plot  
liver – protein homeostasis
Rusyn5   liver_SAH_hf  
liver S-adenosylhomocysteine (SAH) (high-fat diet 4wks)
male –0.76 p = 0.0043 –0.74 12 Plot  
metabolism – energy
Bodnar1   pct_suc_cal6  
percent sucrose calories to daily total caloric intake, 2.5% sucrose in drinking water (sucrose 2.5%)
male –0.84 p = 0.0046 –0.55 9 Plot  
muscle – skeletal
Seburn2   grip_strength_M18  
grip strength mean peak tension over 3 trials (age 18mo)
male –0.50 p = 0.0057 –0.49 29 Plot  
 

25 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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