Skip to main content
. Author manuscript; available in PMC: 2013 Dec 1.
Published in final edited form as: Pharmacogenet Genomics. 2012 Dec;22(12):858–867. doi: 10.1097/FPC.0b013e32835a450b

Fig. 1.

Fig. 1

Genome-wide associations with efavirenz estimated Cmin values by multiple linear regression analysis. Manhattan plots of associations between genetic polymorphisms and efavirenz log-transformed estimated Cmin values. Linear regression was used. Each analysis includes the top 10 principal component vectors to adjust for potential confounding by ancestry. The – log10 of P-values are shown. Note the different y-axis scale on each panel. (a) Adjusting only for principal component vectors. (b) Also adjusting for CYP2B6 516G→T. (c) Also adjusting for CYP2B6 516G→T and 983TC. (d) Also adjusting for CYP2B6 516G→T, 983T→C, and rs4803419 C→T. Arrows indicate non-CYP2B6 polymorphisms that achieved (or nearly achieved) P=5×10−8 genome-wide significance in the final model.