Effects of clopidogrel and itraconazole on the disposition of efavirenz and its hydroxyl-metabolites: exploration of a novel CYP2B6 phenotyping index. Br J Clin Pharmacol. PMID: 22554354
Bioinformatics and variability in drug response: a protein structural perspective. J R Soc Interface. PMID: 22552919
PharmGKB summary: very important pharmacogene information for cytochrome P-450, family 2, subfamily A, polypeptide 6. Pharmacogenet Genomics. PMID: 22547082
Clinical and genetic determinants of warfarin pharmacokinetics and pharmacodynamics during treatment initiation. PLoS One. PMID: 22114699
Methionine adenosyltransferase 2A/2B and methylation: gene sequence variation and functional genomics. Drug Metab Dispos. PMID: 21813468
CYP2A6 and CYP2B6 genetic variation and its association with nicotine metabolism in South Western Alaska Native people. Pharmacogenet Genomics. PMID: 22569203
Human PXR-mediated induction of intestinal CYP3A4 attenuates 1α,25-dihydroxyvitamin D(3) function in human colon adenocarcinoma LS180 cells. Biochem Pharmacol. PMID: 22562045
PHONT Group – Pharmacogenomics Ontology (PHONT) Network Resource Standardization of PGRN Data Dictionaries
The variety of disease phenotypes that are studied in the PGRN, as well as differences in clinical systems in use at each PGRN site, lead to data that is heterogeneous,non-standardized, and institution-specific. We performed a survey of data dictionaries from PGRN research sites with the goal of identifying overlapping and unique data elements among the sites, and proposed standards that establish common semantic meanings and representations for the data. This was accomplished by mapping variables from research sites to data standards that are aligned with national Meaningful Use requirements and/or developed by international standards development organizations. The process of data element harmonization and standardization not only provides a means for representing common and related variables in canonical forms, but also serves to identify gaps in data standards that must be filled to ensure the pharmacogenomic domain is sufficiently covered by those standards. Furthermore, this effort will facilitate the integration of pharmacogenomics data into EMRs and its translation into clinical practice. More...
Christopher G. Chute, MD DrPH, is an internist, epidemiologist, and biomedical informaticist who became convinced somewhere along his career that large-scale, collaborative biomedical research and discovery required comparable and consistent data representation. Unfortunately, this ultimately means standards, which is the intellectual equivalent of eating your vegetables. However, to make such things palatable, one can always “map” the way one likes to work with ones own data to emergent national and international consensus standards for clinical and biological data representation. Chute is most active in the clinical standards world chairing the ISO Technical Committee (TC215) on health informatics, chairing the International Classification of Disease revision for WHO, and serving on the HL7 Advisory Board and the HHS Health Information Technology Standards Committee. He also leads or co-leads a number of grants related to the PGRN PHONT resource, such as eMERGE, SHARPn, Beacon, NCBO, and Mayo’s CTSA Informatics Core, among others. Chute is leading PHONT to make data mapping transparent and painless to PGRN investigators, while ultimately providing value thought EMR interfaces. Profile page
