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. Author manuscript; available in PMC: 2012 Jun 1.
Published in final edited form as: Biomark Med. 2011 Aug;5(4):439–449. doi: 10.2217/bmm.11.33

Table 3.

Linear models correlating LDLc (left) and HDLc (right) values to the CYP450 combinatory drug metabolism indices as well as CYP2C9, CYP2C19, CYP2D6 and CYP2C9 + CYP2D6 gene-specific indices.

Linear Models LDLc HDLc
R2 Met Res (%) Met Alt (%) Allele Alt (%) Gene Alt (%) Met Res (%) Met Alt (%) Allele Alt (%) Gene Alt (%)
Combinatory 3.40 10.00 7.20 11.00 1.47 3.57 3.95 7.07

CYP2C9 only 1.60 1.60 1.10 2.00 3.83 3.83 3.57 4.70

CYP2C19 only 0.90 0.90 0.90 1.40 0.22 0.22 0.22 0.04

CYP2D6 only 1.20 9.00 5.20 4.00 0.60 3.04 2.41 4.40

p-value Met Res Met Alt Allele Alt Gene Alt Met Res Met Alt Allele Alt Gene Alt

Combinatory 0.075 0.002 0.009 0.001 0.252 0.073 0.059 0.011

CYP2C9 only 0.228 0.228 0.314 0.082 0.063 0.063 0.073 0.039

CYP2C19 only 0.355 0.355 0.355 0.257 0.662 0.662 0.662 0.856

CYP2D6 only 0.296 0.003 0.026 0.051 0.467 0.099 0.141 0.045

The upper section shows the coefficient of determination (R2) for each model as a percentage. The lower section shows the statistical significance of the correlation (p-value). A value in bold indicates the strongest or most significant correlation.

Alt: Alteration; HDLc: High density lipoprotein cholesterol; LDLc: Low density lipoprotein cholesterol; Met: Metabolic; Res: Reserve.