TY - JOUR
T1 - Pharmacogenomic next-generation DNA sequencing
T2 - Lessons from the identification and functional characterization of variants of unknown significance in CYP2C9 and CYP2C19
AU - Devarajan, Sandhya
AU - Moon, Irene
AU - Ho, Ming Fen
AU - Larson, Nicholas B.
AU - Neavin, Drew R.
AU - Moyer, Ann M.
AU - Black, John L.
AU - Bielinski, Suzette J.
AU - Scherer, Steven E.
AU - Wang, Liewei
AU - Weinshilboum, Richard M.
AU - Reid, Joel M.
N1 - Funding Information:
This work was supported in part by the Mayo Cancer Center [Support Grant CA 15083, (grant #T32 GM072474 to D.R.N.)]; the National Institutes of Health [Grants U19 GM61388, R01 GM28157, R01 GM125633, and U01 HG06379]; the Pharmacogenomics Program of the Mayo Clinic Center for Individualized Medicine; the Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Healthcare Delivery; and the Mayo Clinic Center for Individualized Medicine.
Publisher Copyright:
Copyright © 2019 by The American Society for Pharmacology and Experimental Therapeutics.
PY - 2019/4
Y1 - 2019/4
N2 - CYP2C9 and CYP2C19 are highly polymorphic pharmacogenes; however, clinically actionable genetic variability in drug metabolism due to these genes has been limited to a few common alleles. The identification and functional characterization of less-common open reading frame sequence variation might help to individualize therapy with drugs that are substrates for the enzymes encoded by these genes. The present study identified seven uncharacterized variants each in CYP2C9 and CYP2C19 using next-generation sequence data for 1013 subjects, and functionally characterized the encoded proteins. Constructs were created and transiently expressed in COS-1 cells for the assay of protein concentration and enzyme activities using fluorometric substrates and liquid chromatography– tandem mass spectrometry with tolbutamide (CYP2C9) and (S)-mephenytoin (CYP2C19) as prototypic substrates. The results were compared with the SIFT, Polyphen, and Provean functional prediction software programs. Cytochrome P450 oxidoreductase (CPR) activities were also determined. Positive correlations were observed between protein content and fluorometric enzyme activity for variants of CYP2C9 (P < 0.05) and CYP2C19 (P < 0.0005). However, CYP2C9 709G>C and CYP2C19 65A>G activities were much lower than predicted based on protein content. Substrate intrinsic clearance values for CYP2C9 218C>T, 343A>C, and CYP2C19 337G>A, 518C>T, 556C>T, and 557G>A were less than 25% of wild-type allozymes. CPR activity levels were similar for all variants. In summary, sequencing of CYP2C9 and CYP2C19 in 1013 subjects identified low-frequency variants that had not previously been functionally characterized. In silico predictions were not always consistent with functional assay results. These observations emphasize the need for high-throughput methods for pharmacogene variant mutagenesis and functional characterization.
AB - CYP2C9 and CYP2C19 are highly polymorphic pharmacogenes; however, clinically actionable genetic variability in drug metabolism due to these genes has been limited to a few common alleles. The identification and functional characterization of less-common open reading frame sequence variation might help to individualize therapy with drugs that are substrates for the enzymes encoded by these genes. The present study identified seven uncharacterized variants each in CYP2C9 and CYP2C19 using next-generation sequence data for 1013 subjects, and functionally characterized the encoded proteins. Constructs were created and transiently expressed in COS-1 cells for the assay of protein concentration and enzyme activities using fluorometric substrates and liquid chromatography– tandem mass spectrometry with tolbutamide (CYP2C9) and (S)-mephenytoin (CYP2C19) as prototypic substrates. The results were compared with the SIFT, Polyphen, and Provean functional prediction software programs. Cytochrome P450 oxidoreductase (CPR) activities were also determined. Positive correlations were observed between protein content and fluorometric enzyme activity for variants of CYP2C9 (P < 0.05) and CYP2C19 (P < 0.0005). However, CYP2C9 709G>C and CYP2C19 65A>G activities were much lower than predicted based on protein content. Substrate intrinsic clearance values for CYP2C9 218C>T, 343A>C, and CYP2C19 337G>A, 518C>T, 556C>T, and 557G>A were less than 25% of wild-type allozymes. CPR activity levels were similar for all variants. In summary, sequencing of CYP2C9 and CYP2C19 in 1013 subjects identified low-frequency variants that had not previously been functionally characterized. In silico predictions were not always consistent with functional assay results. These observations emphasize the need for high-throughput methods for pharmacogene variant mutagenesis and functional characterization.
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U2 - 10.1124/dmd.118.084269
DO - 10.1124/dmd.118.084269
M3 - Article
C2 - 30745309
AN - SCOPUS:85062986583
SN - 0090-9556
VL - 47
SP - 425
EP - 435
JO - Drug Metabolism and Disposition
JF - Drug Metabolism and Disposition
IS - 4
ER -