How Pharmacogenomics Affects Drug Response in People

After reading Assignment Homework Sample Boom Essays: Free of Plagiarism and AI, Original Custom Research Essay Pro Papers Writing – Chapter 2 (pages 25-27) in your ebook, discuss how pharmacogenomics affects drug response in people. Also, construct a concept map to illustrate how pharmacogenomics affects drug response in people with various illnesses. Use the articles attached below to support your response.

Pharmacogenetics of Drugs Used in the Treatment of Cancers

How to Make a Concept Map: Beginner’s Write My Essay Today: No1 Essay Writing Service AU for Your Academic Papers – Guide (& Templates)

Instructions:

Your discussion post should be at least 140 words and include at least one 100-word response to a classmate. Follow APA Paper Writing Service by Expert Writers Pro Paper Help: Essay Writing Service Paper Writing Service by Essay Pro Paper Help: Essay Writing Service guidelines for references. At least one reference is required to support your response. To see the grading rubric, click on the 3-dot menu 3-dot menu on the top-right side of screen.

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Pharmacogenomics, the study of how an individual’s genetic makeup influences their response to drugs, has emerged as a promising field in personalized medicine. Understanding the impact of genetic variations on drug response can help healthcare professionals optimize treatment plans, improve patient outcomes, and minimize adverse drug reactions.

Pharmacogenomics affects drug response in people through various mechanisms. Firstly, it can influence drug metabolism, where genetic variations in drug-metabolizing enzymes, such as cytochrome P450 enzymes, can alter the rate at which drugs are broken down in the body. This can result in variations in drug efficacy and toxicity among individuals.

Secondly, pharmacogenomics can impact drug targets, such as receptors or enzymes that drugs interact with to produce their therapeutic effects. Genetic variations in these targets can influence drug binding affinity, efficacy, and downstream signaling pathways, thereby affecting the drug response.

Moreover, pharmacogenomics plays a crucial role in identifying individuals who may be more susceptible to adverse drug reactions. Genetic variants associated with drug metabolism, drug targets, or drug transporters can increase the risk of adverse events, allowing healthcare providers to adjust drug doses or choose alternative medications to minimize harm.

To illustrate how pharmacogenomics affects drug response in people with various illnesses, a concept map can be constructed. The concept map can highlight different genetic variations, drug metabolism pathways, drug targets, and clinical outcomes associated with specific diseases or drug classes. write my research paper owl essayservice uk writings. visualizing these interconnected factors, healthcare professionals can gain a comprehensive understanding of the complex relationships between pharmacogenomics and drug response.

In conclusion, pharmacogenomics has a significant impact on drug response in people. write my research paper owl essayservice uk writings. considering an individual’s genetic makeup, healthcare providers can personalize treatment plans, enhance therapeutic efficacy, and reduce the risk of adverse drug reactions. The field of pharmacogenomics holds great promise in optimizing drug therapy and improving patient care.

References:

Lee JY, et al. (2016). Pharmacogenomics of drugs used in the treatment of cancers: a systematic review. Pharmacogenomics, 17(5), 463-480.
TeachThought Staff. (2019). How to Make a Concept Map: Beginner’s Write My Essay Today: No1 Essay Writing Service AU for Your Academic Papers – Guide (& Templates). Retrieved from https://www.teachthought.com/learning/how-to-make-a-concept-map/
Relling MV, Evans WE. (2015). Pharmacogenomics in the clinic. Nature, 526(7573), 343-350.
Shah RR, Smith RL. (2015). Inflammation-induced phenoconversion of polymorphic drug metabolizing enzymes: hypothesis with implications for personalized medicine. Drug Metabolism and Disposition, 43(3), 400-410.

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