Investigating the role of pharmacogenomics in optimizing pediatric medication therapy: a pilot study
Keywords:
Pharmacogenomics, pediatric, drug therapyAbstract
The Food and Medication Organization and the Public Establishments of Wellbeing have worked to move pharmacogenomics from the laboratory to the patient's bedside. Pharmacogenomic data is now included on the label of more than 100 pharmaceutical drugs. In the pediatric population, several of these are often utilized. Additionally, medical practitioners must intervene and provide advice regarding direct-to-consumer genetic test kits. Healthcare workers must gain a basic understanding of pharmacogenomics and how it applies to patient care in light of the growing trend toward customized treatment. Because pharmacogenomic testing can provide patient-explicit indicators for medication reaction and security, pharmacologists can effectively participate in clinical understanding of results, pharmacogenomic testing, and ideas for individualizing drug treatment. In both short-term and long-term contexts, drug specialists can identify possible opportunities, such as demonstrating pharmacogenomic testing to patients and their families and supervising the implementation of clinical pharmacogenomics meetings. Pharmacists may work in clinical settings as well as in medication development and discovery that is impacted by genetics. The creation of interprofessional practice guidelines and dosing recommendations for pharmacogenomic testing in pediatric patients should involve pediatric pharmacists because of the possibility that age-dependent and genetic factors would affect drug selection and dosage. The purpose of this pilot project is to investigate how pharmacogenomics can be used to customize prescription regimens for young patients in order to increase effectiveness and lower adverse drug reactions (ADRs).
Downloads
Metrics
References
Maagdenberg H, Vijverberg SJ, Bierings MB, Carleton BC, Arets HG, de Boer A, Maitland-van der Zee AH. Pharmacogenomics in pediatric patients: towards personalized medicine. Pediatric Drugs. 2016 Aug;18:251-60.
Yadav S, Uraon A, Kumar Sinha M. Evaluating awareness and usage of library services among undergraduate students of Silchar Medical College, Silchar, Assam. Indian J. Inf. Sourc. Serv. 2019;9(1):25-9. https://doi.org/10.51983/ijiss.2019.9.1.601
Rollinson V, Turner RM, Pirmohamed M. Pharmacogenomics: an overview. Clin Pharm. 2017;9(10).
Maranville JC, Cox NJ. Pharmacogenomic variants have larger effect sizes than genetic variants associated with other dichotomous complex traits. The pharmacogenomics journal. 2016 Aug;16(4):388-92.
Sathyanarayanan S, Srikanta MK. Heart sound analysis using SAINet incorporating CNN and transfer learning for detecting heart diseases. Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications (JoWUA). 2024;15(2):152-69. https://doi.org/10.58346/JOWUA.2024.I2.011
Mansour R. A conceptual framework for team personality layout, operational, and visionary management in online teams. Global Perspectives in Management. 2024;2(4):1-7.
Carvalho AA, Karthikeyan K, Sudhahar JC, Jesiah S. Risk assessment and decision-making in geology-driven projects: a management perspective. Archives for Technical Sciences. 2024 Dec 24;2(31):329-39. https://doi.org/10.70102/afts.2024.1631.329
Turan F, Ergenler A, Bardakcı F. Monitoring DNA Damage in Suez Pufferfish (Lagocephalus suezensis) from the Northeastern Mediterranean. Natural and Engineering Sciences. 2022 Aug 1;7(2):190-9. http://doi.org/10.28978/nesciences.1159286
Stevens A, De Leonibus C, Hanson D, Whatmore A, Murray P, Donn R, Meyer S, Chatelain P, Clayton P. Pediatric perspective on pharmacogenomics. Pharmacogenomics. 2013 Nov 1;14(15):1889-905.
Menon PA, Gunasundari R. Deep Feature Extraction and Classification of Alzheimer's Disease: A Novel Fusion of Vision Transformer-DenseNet Approach with Visualization. https://doi.org/10.58346/JISIS.2024.I4.029
Aronson JK. Adjusting therapeutic dosage regimens to optimise the balance of benefit to harm. Clinical medicine. 2005 Jan 1;5(1):16.
Khodjaev N, Boymuradov S, Jalolova S, Zhaparkulov A, Dostova S, Muhammadiyev F, Abdullayeva C, Zokirov K. Assessing the effectiveness of aquatic education program in promoting environmental awareness among school children. International Journal of Aquatic Research and Environmental Studies. 2024;4(Supplement 1):33-38.. https://doi.org/10.70102/IJARES/V4S1/6
Wensing M, Grol R. Knowledge translation in health: how implementation science could contribute more. BMC medicine. 2019 Dec;17:1-6.
Kabirian M, Sardari D, Babapour F. Determination of proper neutron beam energy spectrum for penetration depth in liver BNCT. International Academic Journal of Science and Engineering. 2016;3:106-14. Retrieved from https://iaiest.com/iaj/index.php/IAJSE/article/view/IAJSE1410019
Shrivastav P, Malakar U. Exploring Barriers to Medication Adherence Among Patients with Chronic Diseases. Clinical Journal for Medicine, Health and Pharmacy. 2024 Sep 30;2(3):21-31.
Gammal RS, Caudle KE, Klein TE, Relling MV. Considerations for pharmacogenomic testing in a health system. Genetics in Medicine. 2019 Aug;21(8):1886-7.
Hemmati M, Mehrabi AM, Karamkhani J, Haidari Z, Poor HRS, Moradi A, Ranjbari M. Studying and comparing the effectiveness of brain stimulation over the skull through TDCS direct electrical current and matrix to reduce craving of methamphetamine. International Academic Journal of Social Sciences. 2014;1(2):71–79. Retrieved from https://iaiest.com/iaj/index.php/IAJSS/article/view/IAJSS1410019
Grol R, Grimshaw J. From best evidence to best practice: effective implementation of change in patients' care. The lancet. 2003 Oct 11;362(9391):1225-30.
Downloads
Published
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
Terms:
- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.