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. Author manuscript; available in PMC: 2011 Oct 1.
Published in final edited form as: Mech Ageing Dev. 2010 Sep 9;131(10):641–649. doi: 10.1016/j.mad.2010.08.010

Table 3.

Correlation between aging and postnatal growth (aging genes)

Gene set analyzed: non-immune-related genes that showed significant change (P < 0.0077, FDR < 10%, ≥1.5 -fold) from 3 to 15 mo in liver (n=531)
Comparison between: Pearson’s Correlation Spearman’s Correlation

Liver, 3 to 15 mo vs Heart, 1 to 4wk r = 0.10 ρ = 0.10
P = 0.02 P = 0.02
Kidney, 1 to 8wk r = 0.13 ρ = 0.13
P = 0.003 P = 0.003
Lung, 1 to 8wk r = 0.10 ρ = 0.08
P = 0.03 P = 0.06 (not significant)

Gene set analyzed: non-immune-related genes that showed significant change (P < 0.0077, FDR < 10%, ≥1.5-fold) from 3 to 15 mo in kidney (n=178)
Comparison between: Pearson’s Correlation Spearman’s Correlation

Kidney, 3 to 15 mo vs Heart, 1 to 4wk r = 0.21 ρ = 0.24
P = 0.006 P = 0.001
Kidney, 1 to 8wk r = 0.24 ρ = 0.27
P = 0.001 P = 0.0003
Lung, 1 to 8wk r = 0.28 ρ = 0.26
P = 0.0002 P = 0.0005

Gene set analyzed: non-immune-related genes that showed significant change (P < 0.0077, FDR < 10%, ≥ 1.5-fold) from 3 to 15 mo in lung (n=381)
Comparison between: Pearson’s Correlation Spearman’s Correlation

Lung, 3 to 15 mo vs Heart, 1 to 4wk r = 0.32 ρ = 0.35
P = <0.0001 P = <0.0001
Kidney, 1 to 8wk r = 0.30 ρ = 0.30
P = <0.0001 P = <0.0001
Lung, 1 to 8wk r = 0.45 ρ = 0.47
P = <0.0001 P = <0.0001