Human genome project: pharmacogenomics and drug development

Now that all 30,000 or so genes that make up the human genome have been deciphered, pharmaceutical industries are emerging to capitalize the custom based drug treatment. Understanding human genetic variation promises to have a great impact on our ability to uncover the cause of individual variation in response to therapeutics. The study of association between genetics and drug response is called pharmacogenomics. The potential implication of genomics and pharmacogenomics in clinical research and clinical medicine is that disease could be treated according to the interindividual differences in drug disposition and effects, thereby enhancing the drug discovery and providing a stronger scientific basis of each patient's genetic constitution. Sequence information derived from the genomes of many individuals is leading to the rapid discovery of single nucleotide polymorphisms or SNPs. Detection of these human polymorphisms will fuel the discipline of pharmacogenomics by developing more personalized drug therapies. A greater understanding of the way in which individuals with a particular genotype respond to a drug allows manufacturers to identify population subgroups that will benefit most from a particular drug. The increasing emphasis on pharmacogenomics is likely to raise ethical and legal questions regarding, among other things, the design of research studies, the construction of clinical trials and the pricing of drugs.     

Pharmacogenetics and pharmacogenomics: role of mutational analysis in anti-cancer targeted therapy

The goal of cancer pharmacogenomics is to obtain benefit from personalized approaches of cancer treatment and prevention. Recent advances in genomic research have shed light on the crucial role of genetic variants, mainly involving genes encoding drug-metabolizing enzymes, drug transporters and targets, in driving different treatment responses among individuals, in terms of therapeutic efficacy and safety. Although a considerable amount of new targeted agents have been designed based on a finely understanding of molecular alterations in cancer, a wide gap between pharmacogenomic knowledge and clinical application still persists. This review focuses on the relevance of mutational analyses in predicting individual response to antitumor therapy, in order to improve the translational impact of genetic information on clinical practice.     

Advances in pharmacogenomic research and development

Technological achievements in the last 5 to 10 yr and their application to sequencing and polymorphism discovery in the human genome have fostered a renewed interest in the genetic basis of drug response. Consequently, the field of pharmacogenetics/pharmacogenomics has been gaining momentum, fueled not only on technology but also on results of empirical studies of the human genome and on genetic epidemiology studies of real drugs in patient populations. This review discusses some of the recent advances in pharmacogenomic research and development over the last few years that include understanding the architecture of the human genome, the creation of population deoxyribonucleic acid (DNA)/data banks, assessment of the clinical validity of genetic markers, and experience with regulatory aspects of pharmacogenomics.     

药物基因组学——个性化药物的开发

药物基因组学是研究药物反应的遗传机制及药物反应的个体差异性。本文详细讨论了药物基因组学的发展历史,种族,个体的遗传差异性对药物反应的影响;介绍了当前从事药物基因组学开发研究的公司情况及医药管理机构关于药物基因组学的指导性文件;本文也论述了遗传多态性及疾病诊断和疾病相关基因鉴定的最新研究进展 。     

Pharmacogenomics and systems biology of membrane transporters

Membrane transporters are essential for fundamental cellular functions and normal physiological processes. These molecules influence drug absorption and distribution, and play key roles in drug therapeutic effects. A primary goal of current research in drug discovery and development is to fully understand the interaction between transporters and drugs at both system level and individual level for personalized therapy. Pharmacogenomics studies the genetic basis of the individual variations in response to drug therapy, whereas systems biology provides the understanding of biological processes at the system level. The integration of pharmacogenomics with systems biology in membrane transporter study is necessary to solve complex problems in diseases and drug effects. Such integration provides insight to key issues of pharmacogenomics and systems biology of membrane transporters. These key issues include the correlations between structure and function, genotype and phenotype, and systematic interactions between different transporters, between transporters and other proteins, and between transporters and drugs. The exploration in these key issues may ultimately contribute to the personalized medicine with high efficacy but less toxicity, which is the overall goal of pharmacogenomics and systems biology.     

Pharmacogenomics of breast cancer targeted therapy: focus on recent patents

Adjuvant endocrine therapy as well as other forms of targeted therapy such as HER2 inhibitors and antiangiogenic agents reduce the risk of recurrence and improve survival among women with hormone receptor positive breast cancer. However, a significant percentage of women who receive targeted therapy as adjuvant or metastatic treatment do not benefit from this therapy, while a number of women who initially respond will eventually develop disease progression and relapse while on therapy. The observed variability in treatment response to targeted breast cancer treatment could be partly explained by pharmacogenomics. This paper reviews evidence on the role of pharmacogenomics of breast targeted therapy focusing on the clinical relevance of genetic variation. In particular, this article reviews the role of pharmacogenomics of tamoxifen, aromatase inhibitors, HER-2 inhibitors and anti-angiogenic agents. In addition, recent patents in the field are presented that provide promising steps in the field of personalized treatment of breast cancer, although future studies are needed for determining the clinical benefit of the proposed inventions. Finally, we present a testable hypothesis to aide the search for biologically meaningful genetic variation Specifically, we suggest the publication of negative results in the field of pharmacogenomics and pharmacoproteomics, will benefit future research in the field.     

药物基因组学对癌症化疗的启示

药物基因组学的研究任务是阐明个体差异的遗传基础,并利用这些遗传信息来预测药物的疗效、毒性和安全性。绝大多数的癌症化疗药物在治疗效果及正常组织毒性上的个体差异一直广为关注。不仅诸多临床因素(如年龄、性别、饮食、药物相互作用等)与药物反应和治疗效果有关,而且药物分布(转运和代谢)和药物靶标的遗传变异同样可导致癌症治疗上的差异。本篇综述主要讨论当前和将来药物基因组学在临床癌症治疗和抗癌药物研制方面的应用。     

Chapter 7: Pharmacogenomics

There is great variation in drug-response phenotypes, and a “one size fits all” paradigm for drug delivery is flawed. Pharmacogenomics is the study of how human genetic information impacts drug response, and it aims to improve efficacy and reduced side effects. In this article, we provide an overview of pharmacogenetics, including pharmacokinetics (PK), pharmacodynamics (PD), gene and pathway interactions, and off-target effects. We describe methods for discovering genetic factors in drug response, including genome-wide association studies (GWAS), expression analysis, and other methods such as chemoinformatics and natural language processing (NLP). We cover the practical applications of pharmacogenomics both in the pharmaceutical industry and in a clinical setting. In drug discovery, pharmacogenomics can be used to aid lead identification, anticipate adverse events, and assist in drug repurposing efforts. Moreover, pharmacogenomic discoveries show promise as important elements of physician decision support. Finally, we consider the ethical, regulatory, and reimbursement challenges that remain for the clinical implementation of pharmacogenomics.

What to Learn in This Chapter

• Interactions between drugs (small molecules) and genes (proteins)
• Methods for pharmacogenomic discovery
  • Association- and expression-based methods
  • Cheminformatics and pathway-based methods
• Database resources for pharmacogenomic discovery and application (PharmGKB)
• Applications of pharmacogenomics into a clinical setting

This article is part of the “Translational Bioinformatics” collection for PLOS Computational Biology.

     

Genotyping in the MHC locus: potential for defining predictive markers in sarcoidosis

The availability of a draft sequence for the human genome will revolutionise research into airway disease. This review deals with two of the most important areas impinging on the treatment of patients: pharmacogenetics and pharmacogenomics. Considerable inter-individual variation exists at the DNA level in targets for medication, and variability in response to treatment may, in part, be determined by this genetic variation. Increased knowledge about the human genome might also permit the identification of novel therapeutic targets by expression profiling at the RNA (genomics) or protein (proteomics) level. This review describes recent advances in pharmacogenetics and pharmacogenomics with regard to airway disease.     

Pharmacogenetics, pharmacogenomics and airway disease

The availability of a draft sequence for the human genome will revolutionise research into airway disease. This review deals with two of the most important areas impinging on the treatment of patients: pharmacogenetics and pharmacogenomics. Considerable inter-individual variation exists at the DNA level in targets for medication, and variability in response to treatment may, in part, be determined by this genetic variation. Increased knowledge about the human genome might also permit the identification of novel therapeutic targets by expression profiling at the RNA (genomics) or protein (proteomics) level. This review describes recent advances in pharmacogenetics and pharmacogenomics with regard to airway disease.     

Prediction of personalized drugs based on genetic variations provided by DNA sequencing technologies

Recent reports of death and illness caused by adverse drug reactions have boosted rational drug design research. It has been shown through sequencing of the entire human genome that human genetic variations play a key role in adverse reactions to drugs as well as in differences in the effectiveness of drug treatments. The advent of high-throughput DNA sequencing technologies with bioinformatics of system biology have allowed the easy identification of genetic variations and all other pharmacogenetic variants in a single assay, thus permitting truly personalized drug treatment. This would be particularly valuable for many patients with chronic diseases who must take many medications concurrently. In this review, we have focused on pharmacogenomics for the prediction of variable drug responses between individuals with relevant genetic variations through new DNA sequencing technologies and provided directions for personalized drug therapy in the future.     

精神药理影像遗传学研究进展及其临床应用前景

精神疾病危害严重,其发病机制复杂难解,临床治疗效果不一,且存在明显的个体差异.近期精准医学研究发现精神药物作用于脑神经的生化过程受到遗传多态性的影响.本文从五羟色胺能、去甲肾上腺素能和多巴胺能三大系统入手,系统综述精神药理影像遗传学的相关研究进展,深入探讨精神药理的神经作用机制以及药物-基因-脑之间的交互作用.我们发现:SLC6A4、BDNF、FKBP5、COMT和多巴胺相关受体等基因多态性与多种精神疾病的发生发展及其治疗效果具有一定的相关性,可能成为相关精神疾病诊断的候选基因.杏仁核、海马、眶额叶、扣带回和前额叶等皮层与皮层下脑结构可能是不同神经递质相关的基因多态性影响精神药物生化作用过程的关键靶点脑区.在建立精神药物-基因-脑影像-行为的因果链中,仍然存在很多相互矛盾的结果和一定的局限性.因此,开展同质性强的临床试验、研究表观遗传作用等可以作为未来的研究发展趋势.     

药物基因组学在新药临床试验及个体化用药中的应用

药物安全性和有效性评价是药物临床试验和个体化用药的核心,也是药物基因组学研究的主要内容。药物基因组学研究贯穿于药物 研发、上市评价和临床应用整个过程, 根据药物代谢酶、转运体、受体相关基因多态性对用药者进行分层分析,评价与药物体内的处置过程、 安全性、有效性个体差异的相关性。综述药物基因组学在新药临床试验、个体化用药中的应用研究新进展。     

Progress in osteoporosis and fracture prevention: focus on postmenopausal women

In the past decade, we have witnessed a revolution in osteoporosis diagnosis and therapeutics. This includes enhanced understanding of basic bone biology, recognizing the severe consequences of fractures in terms of morbidity and short-term re-fracture and mortality risk and case finding based on clinical risks, bone mineral density, new imaging approaches, and contributors to secondary osteoporosis. Medical interventions that reduce fracture risk include sufficient calcium and vitamin D together with a wide spectrum of drug therapies (with antiresorptive, anabolic, or mixed effects). Emerging therapeutic options that target molecules of bone metabolism indicate that the next decade should offer even greater promise for further improving our diagnostic and treatment approaches.     

Large-scale pharmacogenomic studies and drug response prediction for personalized cancer medicine

The response rate of most anti-cancer drugs is limited because of the high heterogeneity of cancer and the complex mechanism of drug action. Personalized treatment that stratifies patients into subgroups using molecular biomarkers is promising to improve clinical benefit. With the accumulation of preclinical models and advances in computational approaches of drug response prediction, pharmacogenomics has made great success over the last 20 years and is increasingly used in the clinical practice of personalized cancer medicine. In this article, we first summarize FDA-approved pharmacogenomic biomarkers and large-scale pharmacogenomic studies of preclinical cancer models such as patient-derived cell lines, organoids, and xenografts. Furthermore, we comprehensively review the recent developments of computational methods in drug response prediction, covering network, machine learning, and deep learning technologies and strategies to evaluate immunotherapy response. In the end, we discuss challenges and propose possible solutions for further improvement.     

A critique of race-based and genomic medicine

Now that a composite human genome has been sequenced (HGP), research has accelerated to discover precise genetic bases of several chronic health issues, particularly in the realms of cancer and cardiovascular disease. It is anticipated that in the future it will be possible and cost effective to regularly sequence individual genomes, and thereby produce a DNA profile that potentially can be used to assess the health risks for each person with respect to certain genetically predisposed conditions. Coupled with that enormous diagnostic power, it will then depend upon equally rapid research efforts to develop personalized courses of treatment, including that of pharmaceutical therapy. Initial treatment attempts have been made to match drug efficacy and safety to individuals of assigned or self-identified groups according to their genetic ancestry or presumed race. A prime example is that of BiDil, which was the first drug approved by the US FDA for the explicit treatment of heart patients of African American ancestry. This race-based approach to medicine has been met with justifiable criticism, notably on ethical grounds that have long plagued historical applications and misuses of human race classification, and also on questionable science. This paper will assess race-based medical research and practice in light of a more thorough understanding of human genetic variability. Additional concerns will be expressed with regard to the rapidly developing area of pharmacogenomics, promoted to be the future of personalized medicine. Genomic epidemiology will be discussed with several examples of on-going research that hopefully will provide a solid scientific grounding for personalized medicine to build upon.