• Title/Summary/Keyword: Pharmacogenomics

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Nursing Genetics in 'Postgenome' Era ('포스트 게놈' 시대에서 간호학의 과제)

  • ChoiKwon, S-Mi
    • Journal of Korean Biological Nursing Science
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    • v.7 no.1
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    • pp.5-14
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    • 2005

  • Since the Human Genome Project(HGP) has begun in the mid 1980s, the sequencing of the human genome has been finally completed in 2001. The knowledge developed from the HGP has revolutionized how health care professionals think about patient care, mandating a new paradigm of patient care in totally inconceivable ways from the past. For instance, the patients at risk for disease can be identified early enough for intervention; the medicine can be tailored for individual patients based on their own genetic information ; the gene therapy could be a common procedure in the near future. The advancement in genetics, therefore, requires the shift of paradigm not only in nursing education, practice, but also in nursing research. It is attempted, in this article to introduce briefly the basic knowledge of genetics, the pharmacogenomics, and the overview of national genetic research initiated and organized by the Center for Functional Analysis of Human Genome in Korea. The current state of nursing genetic knowledge and its implications on nursing education, practice, and research has examined. Furthermore, the visions and the opportunities for nursing science and practice to participate in this genetic revolution were also explored.

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Clinical Pharmacogenomics of Drug Metabolizing Enzymes and its Clinical Application (약물대사효소의 유전적 다형성 및 임상적 응용)

  • Kim, Kyung-Im;Kim, Seung-Hee;Park, Ji-Eun;Chae, Han-Jung;Choi, Ji-Sun;Shin, Wan-Gyun;Son, In-Ja;Oh, Jung-Mi
    • Korean Journal of Clinical Pharmacy
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    • v.16 no.2
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    • pp.155-164
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    • 2006

  • Great inter-variability in drug response and adverse drug reactions is related to inter-variability of drug bioavailability, drug interaction and patient's disease and physyological state that cause change in absorption, distribution, metabolism and excretion of drugs. However, these alone do not sufficiently predict and explain inter-variability in drug response. In recent studies, it is reported that inter-variability in drug response and adverse drug reactions may largely resulted from genetically determined differences in drug absoption, distribution, metabolism and drug target proteins. Especially, the major human drug-metabolizing enzymes such as CYP450, N-acetyl tranferase, thiopurine S-methyl transferase, glutathione S-transferase are identified as the major gene variants that cause inter-individual variability in drug's response and adverse drug reactions. These variations may have most significant implications for those drugs that have narrow therapeutic index and serious adverse drug reactions. Therefore, the genetic variation such as polymorphisms in drug metabolizing enzymes can affect the response of individuals to drugs that are used in the treatment of depression, psychosis, cancer, cardiovascular disorders, ulcer and gastrointestinal disorders, pain and epilepsy, among others. This review describes the pharmacogenomics of the drug metabolizing enzymes associated with the drug response and its clinical applications.

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Identification of Potential Prognostic Biomarkers in lung cancer patients based on Pattern Identification of Traditional Korean Medicine Running title: A biomarker based on the Korean pattern identification for lung cancer

  • Ji Hye Kim;Hyun Sub Cheong;Chunhoo Cheon;Sooyeon Kang;Hyun Koo Kim;Hyoung Doo Shin;Seong-Gyu Ko
    • Journal of Society of Preventive Korean Medicine
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    • v.27 no.2
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    • pp.35-48
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    • 2023

  • Objective : We studied prognostic biomarkers discovery for lung cancer based on the pattern identification for the personalized Korean medicine. Methods : Using 30 tissue samples, we performed a whole exome sequencing to examine the genetic differences among three groups. Results : The exome sequencing identified among 23,490 SNPs germline variants, 12 variants showed significant frequency differences between Xu and Stasis groups (P<0.0005). As similar, 18 and 10 variants were identified in analysis for Xu vs. Gentleness group and Stasis vs. Gentleness group, respectively (P<0.001). Our exome sequencing also found 8,792 lung cancer specific variants and among the groups identified 6, 34, and 12 variants which showed significant allele frequency differences in the comparison groups; Xu vs. Stasis, Xu vs. Gentleness group, and Stasis vs. Gentleness group. As a result of PCA analysis, in germline data set, Xu group was divided from other groups. Analysis using somatic variants also showed similar result. And in gene ontology analysis using pattern identification variants, we found genes like as FUT3, MYCBPAP, and ST5 were related to tumorigenicity, and tumor metastasis in comparison between Xu and Stasis. Other significant SNPs for two were responsible for eye morphogenesis and olfactory receptor activity. Classification of somatic pattern identification variants showed close relationship in multicellular organism reproduction, anion-anion antiporter activity, and GTPase regulator activity. Conclusions : Taken together, our study identified 40 variants in 29 genes in association with germline difference of pattern identification groups and 52 variants in 47 genes in somatic cancer tissues.

  • https://doi.org/10.25153/spkom.2023.27.2.003 인용 PDF