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Probesets correlated to selected phenotype measurement

Your selected phenotype measurement:          
respiratory — breathing pattern — airflow rate         plethysmography  
Berndt2
exp_flow_slope   expiratory flow rate (Vt/Te), MCh response index   [slope]   methacholine  
29 strains   age 9-12wks
  Inbred

List correlations where p ≤   and   DPV[1]    
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Mathematical correlation with this phenotype Gene expression probeset data instance
PearsonSexNo. of
Strains
Scatter
plot
Gene
Collect all
Approximate
chr loc
Probeset Data set
r = –0.955   p = 0.000001 m 12 Plot Arhgap39 15:76754894 A_52_P456134 liver_Rusyn3_ctrl
r = –0.925   p = 0.000002 m 14 Plot Ambp 4:63149037 10024400974 liver_Su1
r = 0.896   p = 0.000015 m 14 Plot Myl6 10:128492343 10018179428 liver_Su1
r = 0.884   p = 0.000028 m 14 Plot 16:78432236 10028167454 liver_Su1
r = 0.882   p = 0.000030 m 14 Plot 4:14434111 10028170926 liver_Su1
r = –0.878   p = 0.000036 m 14 Plot Epo 5:137530819 10018179544 liver_Su1
r = 0.877   p = 0.000039 f 14 Plot Hp1bp3 4:138230490 10028671069 liver_Su1
r = –0.876   p = 0.000041 m 14 Plot Slc6a12 6:121356235 10023852086 liver_Su1
r = –0.722   p = 0.000046 m 25 Plot 8:90129749 A_51_P292256 liver_Gatti1
r = –0.872   p = 0.000047 m 14 Plot Ndor1 2:25255866 10024403139 liver_Su1
r = 0.872   p = 0.000049 m 14 Plot Ndufc2 7:97403902 10018176779 liver_Su1
r = 0.864   p = 0.000067 f 14 Plot Rnpc3 3:113617608 10028670656 liver_Su1
r = –0.863   p = 0.000072 m 14 Plot Naga 15:82334174 10028675831 liver_Su1
r = –0.743   p = 0.000075 m 22 Plot 5:115474991 1433948_at liver_HMDP_Lusis1
r = 0.812   p = 0.000077 m 17 Plot Stau1 2:166948500 1450741_at macrophage_HMDP_Oro3_OxPAPC
r = 0.859   p = 0.000085 m 14 Plot Mpst 15:78410553 10024393158 liver_Su1
r = 0.895   p = 0.000086 m 12 Plot 13:90335871 A_52_P1164120 liver_Rusyn3_ctrl
r = 0.892   p = 0.000096 m 12 Plot Sgcg 14:61258103 A_51_P301736 liver_Rusyn4_TCE
[18 instances listed above]


Correlations with r < 0.5 or p > 0.005 or nstrains < 10 are not retained.

The large number of eligible probeset data instances increases the liklihood of strong mathematical correlations occurring by chance.

[1] DPV = data point variance filter. Stricter settings will omit instances where data points have more variance. To see DPV hover your mouse pointer over the p value.

 




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