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Mathematical correlation				Phenotype measurement	Gene expression probeset data instance
Pearson	Sex	No. of Strains	Scatter plot		Gene	Approximate chr location	Probeset	Data set
blood – clinical chemistry – electrolytes
r = 0.911   p = 0.000095	m	11	Plot	Yuan3   Na_M18	Nckap5	1:126572672	A_52_P565353	liver_Rusyn4_TCE
body weight size and growth – body weight
r = –0.902   p = 0.000149	m	11	Plot	Maurer1   bwchg_iso1	Nckap5	1:126572672	A_52_P565353	liver_Rusyn4_TCE
cardiovascular – atherosclerosis
r = 0.860   p = 0.000336	m	12	Plot	Paigen2   aortic_lesion	Nckap5	1:126572672	A_52_P565353	liver_Rusyn4_TCE
immune system – cell counts – peripheral blood
r = 0.897   p = 0.000426	m	10	Plot	Petkova1   CD8_effector_M18	Nckap5	1:126572672	A_52_P565353	liver_Rusyn4_TCE
respiratory – lung compliance
r = 0.884   p = 0.000138	m	12	Plot	Berndt2   airway_elas_slope	Nckap5	1:126572672	A_52_P565353	liver_Rusyn4_TCE

[5 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. For gene symbols, current MGI coordinates take precendence over GX annotation so additional flank may be helpful. [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.