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1 ic basis of disease and drug response (i.e., pharmacogenomics).
2 functional approaches and model systems, and pharmacogenomics.
3 l applications in both genetic screening and pharmacogenomics.
4 genetic profiling studies), and host-related pharmacogenomics.
5 ll molecules and have clear implications for pharmacogenomics.
6 ic gene variants for medical diagnostics and pharmacogenomics.
7 genetic information, an application known as pharmacogenomics.
8 odules, with direct implications to clinical pharmacogenomics.
9 ing the realization of the full potential of pharmacogenomics.
10 impact and evolving evidence for clopidogrel pharmacogenomics.
11 at remain for the clinical implementation of pharmacogenomics.
12 o be important in disease susceptibility and pharmacogenomics.
13 atabase with direct implications in clinical pharmacogenomics.
14 interventions and assessing cancer risk and pharmacogenomics.
16 an application of functional neuroimaging in pharmacogenomics and extend basic evidence of an inverte
22 is review will focus on pharmacogenetics and pharmacogenomics and their role in reducing ADRs, especi
23 level, the relationship between transporter pharmacogenomics and therapeutics in the age of individu
24 sed test to a sequencing study in anticancer pharmacogenomics and uncovered mechanistic insights into
25 fficiency may have important consequences in pharmacogenomics and variable drug toxicity observed in
26 ociation between genetics and drug response (pharmacogenomics) and the association of sequence variat
28 with experimental medications in humans; the pharmacogenomics applied to these medications and disord
32 ic strategies, particularly patient-specific pharmacogenomics-based therapy, with monitoring of thera
34 ut microenvironment, gut-brain interactions, pharmacogenomics, biopsychosocial, gender and cross cult
37 namic properties of pharmacological systems, pharmacogenomics can now provide an objective measure of
38 as a foundation for further research on how pharmacogenomics can reduce the incidence of adverse rea
40 URPOSE To explore whether population-related pharmacogenomics contribute to differences in patient ou
41 a (CCLE) study as the benchmark dataset, all pharmacogenomics data exhibited their roles in inferring
46 ried disease-specific mutation databases and pharmacogenomics databases to identify genes and mutatio
49 ients is very challenging; thus, most cancer pharmacogenomics discovery is conducted in preclinical s
50 to review the state of research on metformin pharmacogenomics, discuss the scientific and clinical hu
51 ses, dermatology, clinical pharmacology, and pharmacogenomics discussed the current state of drug all
52 t for therapies based on molecular genetics (pharmacogenomics, DNA microarrays, etc.) drives pharmace
54 is of immediate use for prioritizing cancer pharmacogenomics experiments, and recovers known clinica
57 understanding of cellular protein complexes, pharmacogenomics, genetic diagnosis and gene therapies.
63 to leukemogenesis, drug resistance, and host pharmacogenomics, identified novel subtypes of leukemia,
65 olizing enzymes, genetic susceptibility, and pharmacogenomics in determining cardiovascular disease r
66 review will discuss recent investigations of pharmacogenomics in heart failure, and the challenge of
67 udy was conducted to investigate the role of pharmacogenomics in NCPH in HIV patients with prior dida
68 the prospective study of population-related pharmacogenomics in which ethnic differences in antineop
70 e polymorphism association studies in muscle pharmacogenomics is a field of expected future growth.
80 Through increased knowledge in the area of pharmacogenomics, it is hoped that that treatment of pai
81 named kinome-wide network module for cancer pharmacogenomics (KNMPx), for identifying actionable mut
82 rs, biomarkers, advanced cardiac imaging and pharmacogenomics may be used to classify patients at ris
83 spective study was performed by the Canadian Pharmacogenomics Network for Drug Safety using patients
84 n's Hospital, Memphis, TN) who discussed the pharmacogenomics of acute lymphoblastic leukemia as a ca
85 elet therapy in individuals (n=565) from the Pharmacogenomics of Anti-Platelet Intervention (PAPI) St
86 sease (epilepsy), genomics of drug response (pharmacogenomics of antiepileptic drugs) and genomics of
87 DESIGN, SETTING, AND PARTICIPANTS: In the Pharmacogenomics of Antiplatelet Intervention (PAPI) Stu
90 gations of minimal residual disease and host pharmacogenomics, offer promising avenues of research.
91 expression), response to treatment, and host pharmacogenomics offers the potential to enhance or supp
92 icacy of ADT, establishing the importance of pharmacogenomics on individual's response to this therap
93 ern the potential role of population-related pharmacogenomics (PG) in outcomes, we conducted a large
94 ccurate local ancestry analysis in genetics, pharmacogenomics, population genetics, and clinical diag
95 ctronic Medical Records and Genomics Network Pharmacogenomics project from 7 US academic medical cent
96 omics, structural genomics, transcriptomics, pharmacogenomics, proteomics and metabolomics, allows fo
97 ere to assess the feasibility of prospective pharmacogenomics research in multicenter international c
101 rapy in 768 hypertensive participants in the Pharmacogenomics Responses of Antihypertensive Responses
102 enabling resources for the nascent field of pharmacogenomics (see Glossary), which tests the idea th
104 ega-3 fatty acids), providing a means toward pharmacogenomics stratification of patients and monitori
107 utine sample storage and processing has made pharmacogenomics the most widely applied discovery-based
108 colleagues took a different approach: using pharmacogenomics to focus on neural stem cell lineage, t
109 PMT polymorphism illustrate the potential of pharmacogenomics to optimize cancer therapy by avoiding
110 Advances in the clinical application of pharmacogenomics to predict response to oncology therape
114 rogress in the field of pharmacogenetics and pharmacogenomics will help further our understanding of
116 germline genetics analysis methods to cancer pharmacogenomics with a focus on the special considerati
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