This proposal represents a request for continued funding of the Mayo Clinic Pharmacogenomics Research Network (PGRN) grant """"""""Pharmacogenetics of Phase II Drug Metabolizing Enzymes"""""""". The Mayo PGRN is an integrated, multidisciplinary, pharmacogenomic research effort based on a decades-long focus at Mayo on the pharmacogenetics of phase II (conjugating) drug metabolizing enzymes. The Mayo PGRN began by applying a """"""""genotype-to-phenotype"""""""" research strategy that included, sequentially, gene resequencing, functional genomic, mechanistic and translational studies. During the present funding cycle, the Mayo PGRN has also incorporated the use of genome-wide techniques and pharmacogenomic model systems, with a special emphasis on functional mechanisms responsible for genetic effects on drug response. We have used that approach to study the pharmacogenomics ofthe endocrine therapy of breast cancer and selective serotonin reuptake inhibitor (SSRI) therapy of depression - research that grew out of the contribution of phase II enzymes to the biotransformation of the estrogens that play such an important role in breast cancer and biotransformation ofthe neurotransmitters that are central to the pathophysiology and treatment of depression. Recently, we have performed pharmacogenomic genome-wide association (GWA) studies of breast cancer, and we will soon perform similar studies of the SSRI therapy of depression. We propose to continue this genome- wide focus during the next funding cycle, with both clinical and model system GWA studies of the drug therapy of breast cancer and depression, always including replication as well as functional and mechanistic studies. We also propose two """"""""Network Resources"""""""", one designed to provide access to """"""""Next Generation"""""""" DNA sequencing for all PGRN Centers and the other focused on pharmacogenomic ontology. In summary, the studies in this application build on Mayo PGRN strengths in DNA sequencing and functional genomics - while incorporating genome-wide techniques - to provide insight into the role of inheritance in variation in the efficacy and side effects of drugs used to treat breast cancer and depression.
Breast cancer is the most frequent cancer of women and depression is the most common major psychiatric illness. Drugs are available to treat both of these serious illnesses, but many patients fail to respond and some suffer serious adverse drug reactions. The Mayo Clinic PGRN will apply modern pharmacogenomic techniques to help make it possible to """"""""individualize"""""""" the drug therapy of breast cancer and depression.
|Ingle, James N; Kalari, Krishna R; Wickerham, Donald Lawrence et al. (2018) Germline genome-wide association studies in women receiving neoadjuvant chemotherapy with or without bevacizumab. Pharmacogenet Genomics 28:147-152|
|Cairns, Junmei; Fridley, Brooke L; Jenkins, Gregory D et al. (2018) Differential roles of ERRFI1 in EGFR and AKT pathway regulation affect cancer proliferation. EMBO Rep 19:|
|Liu, Duan; Qin, Sisi; Ray, Bamiki et al. (2018) Single Nucleotide Polymorphisms (SNPs) Distant from Xenobiotic Response Elements Can Modulate Aryl Hydrocarbon Receptor Function: SNP-Dependent CYP1A1 Induction. Drug Metab Dispos 46:1372-1381|
|Hanson, Casey; Cairns, Junmei; Wang, Liewei et al. (2018) Principled multi-omic analysis reveals gene regulatory mechanisms of phenotype variation. Genome Res 28:1207-1216|
|Gonzalez-Mercado, Velda J; Fridley, Brooke L; Saligan, Leorey N (2018) Sestrin family of genes and their role in cancer-related fatigue. Support Care Cancer 26:2071-2074|
|Wang, Liewei; Ingle, James; Weinshilboum, Richard (2018) Pharmacogenomic Discovery to Function and Mechanism: Breast Cancer as a Case Study. Clin Pharmacol Ther 103:243-252|
|Athreya, Arjun P; Gaglio, Alan J; Cairns, Junmei et al. (2018) Machine Learning Helps Identify New Drug Mechanisms in Triple-Negative Breast Cancer. IEEE Trans Nanobioscience 17:251-259|
|Sá, Ana Caroline C; Webb, Amy; Gong, Yan et al. (2018) Blood pressure signature genes and blood pressure response to thiazide diuretics: results from the PEAR and PEAR-2 studies. BMC Med Genomics 11:55|
|Ho, Ming-Fen; Lummertz da Rocha, Edroaldo; Zhang, Cheng et al. (2018) TCL1A, a Novel Transcription Factor and a Coregulator of Nuclear Factor ?B p65: Single Nucleotide Polymorphism and Estrogen Dependence. J Pharmacol Exp Ther 365:700-710|
|Singh, Sonal; Wang, Zhiying; Shahin, Mohamed H et al. (2018) Targeted sequencing identifies a missense variant in the BEST3 gene associated with antihypertensive response to hydrochlorothiazide. Pharmacogenet Genomics 28:251-255|
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