AccScience Publishing / ITPS / Online First / DOI: 10.36922/ITPS026140013
Cite this article
2
Download
10
Views
Related Info Links
More by Authors Links
Journal Browser
Volume | Year
Issue
Search
News and Announcements
View All
REVIEW ARTICLE

Can pharmacogenomics transform personalized medicine into routine clinical practice? Current evidence and future directions

Rushikesh Sambhaji Shinde1* ,  Janhavi Ajay Nimbalkar2
Show Less
1 Department of Pharmaceutics, KLE College of Pharmacy, Bengaluru Campus, KLE Academy of Higher Education and Research, Belagavi, Karnataka , India
2 Department of Pharmaceutics, Marathwada Mitra Mandal’s College of Pharmacy, Thergaon, Pune , India
INNOSC Theranostics and Pharmacological Sciences, 026140013 https://doi.org/10.36922/ITPS026140013
Received: 2 April 2026 | Revised: 12 August 2026 | Accepted: 21 August 2026 | Published online: 8 October 2026
© 2026 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

Personalized medicine (PM) represents a transformative approach in healthcare, particularly in oncology, by tailoring treatments to individual genetic, molecular, and clinical profiles, thereby improving therapeutic specificity and minimizing adverse effects. A key component of this approach is pharmacogenomics (PGx), which examines the influence of genetic variations on drug response to optimize drug selection, dosing, and safety while reducing adverse drug reactions. This review highlights recent advances in molecular biology, PGx, and molecular diagnostics that enable accurate cancer subtype classification and the development of targeted therapies. A structured literature search was conducted to identify studies on genotype-guided therapies, pharmacogenomic biomarkers, molecular diagnostics, and clinical trials evaluating treatment efficacy and interpatient variability across diverse populations. The review emphasizes the role of predictive biomarkers and pharmacogenomic profiling in addressing heterogeneity in treatment response, facilitating individualized therapeutic strategies, and improving clinical outcomes. Despite significant progress in biological therapies and precision oncology, challenges related to biomarker validation, clinical implementation, accessibility, and cost remain. Continued multidisciplinary research and large-scale collaborative studies are essential to strengthen the clinical translation of PGx and PM. The integration of PGx, molecular diagnostics, and targeted therapies is expected to further advance precision oncology and improve patient outcomes worldwide.

Graphical abstract
Keywords
Personalized medicine
Pharmacogenomics
Oncology
Molecular diagnostics
Targeted therapies
Biological therapies
Artificial intelligence
Biomarkers
Funding
None.
Conflict of interest
The authors declare no conflict of interest.
References
  1. Collins FS, Varmus H. A New Initiative on Precision Medicine. N Engl J Med. 2015;372(9):793-795. doi: 10.1056/NEJMp1500523
  2. Relling MV, Evans WE. Pharmacogenomics in the clinic. Nature. 2015;526(7573):343-350. doi: 10.1038/nature15817
  3. Manolio TA, Chisholm RL, Ozenberger B, et al. Implementing genomic medicine in the clinic: the future is here. Genet Med. 2013;15(4):258-267. doi: 10.1038/gim.2012.157
  4. Topol EJ. High-performance medicine: the convergence of human and artificial intelligence. Nat Med. 2019;25(1):44-56. doi: 10.1038/s41591-018-0300-7
  5. Ginsburg GS, Phillips KA. Precision Medicine: From Science To Value. Health Aff (Millwood). 2018;37(5):694-701. doi: 10.1377/hlthaff.2017.1624
  6. US Food and Drug Administration. Table of Pharmacogenomic Biomarkers in Drug Labeling. Accessed August 24, 2026. https://www.fda.gov/drugs/science-and-research-drugs/table-pharmacogenomic-biomarkers-drug-labeling
  7. Caudle K, Klein T, Hoffman J, et al. Incorporation of Pharmacogenomics into Routine Clinical Practice: the Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline Development Process. Curr Drug Metab. 2014;15(2):209-217. doi: 10.2174/1389200215666140130124910
  8. Tsimberidou AM, Fountzilas E, Nikanjam M, Kurzrock R. Review of precision cancer medicine: Evolution of the treatment paradigm. Cancer Treat Rev. 2020;86:102019. doi: 10.1016/j.ctrv.2020.102019
  9. Marquart J, Chen EY, Prasad V. Estimation of the Percentage of US Patients With Cancer Who Benefit From Genome-Driven Oncology. JAMA Oncol. 2018;4(8):1093-1098. doi: 10.1001/jamaoncol.2018.1660
  10. Bousman CA, Bengesser SA, Aitchison KJ, et al. Review and Consensus on Pharmacogenomic Testing in Psychiatry. Pharmacopsychiatry. 2021;54(01):5-17. doi: 10.1055/a-1288-1061
  11. Swen JJ, Van Der Wouden CH, Manson LE, et al. A 12-gene pharmacogenetic panel to prevent adverse drug reactions: an open-label, multicentre, controlled, cluster-randomised crossover implementation study. Lancet. 2023;401(10374):347-356. doi: 10.1016/S0140-6736(22)01841-4
  12. Clayton EW, Evans BJ, Hazel JW, Rothstein MA. The law of genetic privacy: applications, implications, and limitations. J Law Biosci. 2019;6(1):1-36. doi: 10.1093/jlb/lsz007
  13. Dunnenberger HM, Crews KR, Hoffman JM, et al. Preemptive Clinical Pharmacogenetics Implementation: Current Programs in Five US Medical Centers. Annu Rev Pharmacol Toxicol. 2015;55(1):89-106. doi: 10.1146/annurev-pharmtox-010814-124835
  14. Mpye KL, Matimba A, Dzobo K, Chirikure S, Wonkam A, Dandara C. Disease burden and the role of pharmacogenomics in African populations. Glob Health Epidemiol Genomics. 2017;2:e1. doi: 10.1017/gheg.2016.21
  15. Abul-Husn NS, Kenny EE. Personalized Medicine and the Power of Electronic Health Records. Cell. 2019;177(1):58-69. doi: 10.1016/j.cell.2019.02.039
  16. Roden DM, Van Driest SL, Mosley JD, et al. Benefit of Preemptive Pharmacogenetic Information on Clinical Outcome. Clin Pharmacol Ther. 2018;103(5):787-794. doi: 10.1002/cpt.1035
  17. Scott SA. Personalizing medicine with clinical pharmacogenetics. Genet Med. 2011;13(12):987-995. doi: 10.1097/GIM.0b013e318238b38c
  18. Weitzel KW, Alexander M, Bernhardt BA, et al. The IGNITE network: a model for genomic medicine implementation and research. BMC Med Genomics. 2016;9:1. doi: 10.1186/s12920-015-0162-5
  19. Agarwal B, Gaware S, More N, Shinde R, Shivakumar HN, Jagdale S. A review exploring the translational perspective of artificial intelligence in drug discovery and formulation development. Ann Pharm Fr. 2026;84(4):559-594. doi: 10.1016/j.pharma.2026.01.007
  20. Bank P, Caudle K, Swen J, et al. Comparison of the Guidelines of the Clinical Pharmacogenetics Implementation Consortium and the Dutch Pharmacogenetics Working Group. Clin Pharmacol Ther. 2018;103(4):599-618. doi: 10.1002/cpt.762
  21. Luzum J, Pakyz R, Elsey A, et al. The Pharmacogenomics Research Network Translational Pharmacogenetics Program: Outcomes and Metrics of Pharmacogenetic Implementations Across Diverse Healthcare Systems. Clin Pharmacol Ther. 2017;102(3):502-510. doi: 10.1002/cpt.630
  22. Schildcrout JS, Denny JC, Bowton E, et al. Optimizing Drug Outcomes Through Pharmacogenetics: A Case for Preemptive Genotyping. Clin Pharmacol Ther. 2012;92(2):235-242. doi: 10.1038/clpt.2012.66
  23. Van Driest S, Shi Y, Bowton E, et al. Clinically Actionable Genotypes Among 10,000 Patients With Preemptive Pharmacogenomic Testing. Clin Pharmacol Ther. 2014;95(4):423-431. doi: 10.1038/clpt.2013.229
  24. Gottesman O, Kuivaniemi H, Tromp G, et al. The Electronic Medical Records and Genomics (eMERGE) Network: past, present, and future. Genet Med. 2013;15(10):761-771. doi: 10.1038/gim.2013.72
  25. Rasmussen-Torvik LJ, Stallings SC, Gordon AS, et al. Design and Anticipated Outcomes of the eMERGE-PGx Project: A Multicenter Pilot for Preemptive Pharmacogenomics in Electronic Health Record Systems. Clin Pharmacol Ther. 2014;96(4):482-489. doi: 10.1038/clpt.2014.137
  26. Pulley JM, Denny JC, Peterson JF, et al. Operational Implementation of Prospective Genotyping for Personalized Medicine: The Design of the Vanderbilt PREDICT Project. Clin Pharmacol Ther. 2012;92(1):87-95. doi: 10.1038/clpt.2011.371
  27. Khera AV, Chaffin M, Aragam KG, et al. Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations. Nat Genet. 2018;50(9):1219-1224. doi: 10.1038/s41588-018-0183-z
  28. Alix-Panabières C, Pantel K. Clinical Applications of Circulating Tumor Cells and Circulating Tumor DNA as Liquid Biopsy. Cancer Discov. 2016;6(5):479-491. doi: 10.1158/2159-8290.CD-15-1483
  29. Mendell JR, Al-Zaidy S, Shell R, et al. Single-Dose Gene-Replacement Therapy for Spinal Muscular Atrophy. N Engl J Med. 2017;377(18):1713-1722. doi: 10.1056/NEJMoa1706198
  30. Turnbull C, Scott RH, Thomas E, et al. The 100 000 Genomes Project: bringing whole genome sequencing to the NHS. BMJ. Published online April 24, 2018:k1687. doi: 10.1136/bmj.k1687
  31. Bielinski SJ, Olson JE, Pathak J, et al. Preemptive Genotyping for Personalized Medicine: Design of the Right Drug, Right Dose, Right Time—Using Genomic Data to Individualize Treatment Protocol. Mayo Clin Proc. 2014;89(1):25-33. doi: 10.1016/j.mayocp.2013.10.021
  32. Weinshilboum RM, Wang L. Pharmacogenomics: Precision Medicine and Drug Response. Mayo Clin Proc. 2017;92(11):1711-1722. doi: 10.1016/j.mayocp.2017.09.001
  33. Cacabelos R, Cacabelos N, Carril JC. The role of pharmacogenomics in adverse drug reactions. Expert Rev Clin Pharmacol. 2019;12(5):407-442. doi: 10.1080/17512433.2019.1597706
  34. Tekade A, Shinde R, Nimbalkar J, Kadam P, Aswar M, Shivakumar HN. Development and evaluation of intranasal nanostructured lipid carriers encapsulating donepezil HCl and Caesalpinia bonduc seed extract for targeting Alzheimer’s disease: in vitro and in vivo evaluation. J Drug Target. Published online May 26, 2026:1-18. doi: 10.1080/1061186X.2026.2671309
  35. Zanger UM, Schwab M. Cytochrome P450 enzymes in drug metabolism: Regulation of gene expression, enzyme activities, and impact of genetic variation. Pharmacol Ther. 2013;138(1):103-141. doi: 10.1016/j.pharmthera.2012.12.007
  36. Carr DF, Turner RM, Pirmohamed M. Pharmacogenomics of anticancer drugs: Personalising the choice and dose to manage drug response. Br J Clin Pharmacol. 2021;87(2):237-255. doi: 10.1111/bcp.14407
  37. Tremmel R, Pirmann S, Zhou Y, Lauschke VM. Translating pharmacogenomic sequencing data into drug response predictions—How to interpret variants of unknown significance. Br J Clin Pharmacol. 2025;91(2):252-263. doi: 10.1111/bcp.15915
  38. Frueh FW, Amur S, Mummaneni P, et al. Pharmacogenomic Biomarker Information in Drug Labels Approved by the United States Food and Drug Administration: Prevalence of Related Drug Use. Pharmacother J Hum Pharmacol Drug Ther. 2008;28(8):992-998. doi: 10.1592/phco.28.8.992
  39. Paik S, Tang G, Shak S, et al. Gene Expression and Benefit of Chemotherapy in Women With Node-Negative, Estrogen Receptor–Positive Breast Cancer. J Clin Oncol. 2006;24(23):3726-3734. doi: 10.1200/JCO.2005.04.7985
  40. Pardiñas AF, Owen MJ, Walters JTR. Pharmacogenomics: A road ahead for precision medicine in psychiatry. Neuron. 2021;109(24):3914-3929. doi: 10.1016/j.neuron.2021.09.011
  41. Wadelius M, Chen LY, Eriksson N, et al. Association of warfarin dose with genes involved in its action and metabolism. Hum Genet. 2007;121(1):23-34. doi: 10.1007/s00439-006-0260-8
  42. Laje G, Paddock S, Manji H, et al. Genetic Markers of Suicidal Ideation Emerging During Citalopram Treatment of Major Depression. Am J Psychiatry. 2007;164(10):1530-1538. doi: 10.1176/appi.ajp.2007.06122018
  43. Caputo V, Strafella C, Cosio T, et al. Pharmacogenomics: An Update on Biologics and Small-Molecule Drugs in the Treatment of Psoriasis. Genes. 2021;12(9):1398. doi: 10.3390/genes12091398
  44. Lu DY, Lu TR, Xu B, Ding J. Pharmacogenetics of Cancer Therapy: Breakthroughs From Beyond? Future Sci OA. 2015;1(4):FSO80. doi: 10.4155/fso.15.80
  45. Henricks LM, Lunenburg CATC, De Man FM, et al. DPYD genotype-guided dose individualisation of fluoropyrimidine therapy in patients with cancer: a prospective safety analysis. Lancet Oncol. 2018;19(11):1459-1467. doi: 10.1016/S1470-2045(18)30686-7
  46. Maillard M, Schwab M, Whirl‐Carrillo M, et al. Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline for Thiopurine Dosing Based on TPMT and NUDT15 Genotypes: 2025 Update. Clin Pharmacol Ther. 2026;119(4):916-927. doi: 10.1002/cpt.70209
  47. Chauhan D, Dello Russo C, Thompson J, et al. UGT1A1 genotype testing for irinotecan: A guideline developed by the UK Centre of Excellence in Regulatory Science and Innovation in Pharmacogenomics (CERSI‐PGx). Br J Clin Pharmacol. 2026:;92(9):2986-3001. doi: 10.1002/bcp.70659
  48. Mok TS, Wu YL, Thongprasert S, et al. Gefitinib or Carboplatin–Paclitaxel in Pulmonary Adenocarcinoma. N Engl J Med. 2009;361(10):947-957. doi: 10.1056/NEJMoa0810699
  49. Sullivan I, Planchard D. ALK inhibitors in non-small cell lung cancer: the latest evidence and developments. Ther Adv Med Oncol. 2016;8(1):32-47. doi: 10.1177/1758834015617355
  50. Lauschke VM, Milani L, Ingelman-Sundberg M. Pharmacogenomic Biomarkers for Improved Drug Therapy—Recent Progress and Future Developments. AAPS J. 2018;20(1):4. doi: 10.1208/s12248-017-0161-x
  51. Stark Z, Dolman L, Manolio TA, et al. Integrating Genomics into Healthcare: A Global Responsibility. Am J Hum Genet. 2019;104(1):13-20. doi: 10.1016/j.ajhg.2018.11.014
  52. Cooper‐DeHoff RM, Niemi M, Ramsey LB, et al. The Clinical Pharmacogenetics Implementation Consortium Guideline for SLCO1B1 , ABCG2 , and CYP2C9 genotypes and Statin‐Associated Musculoskeletal Symptoms. Clin Pharmacol Ther. 2022;111(5):1007-1021. doi: 10.1002/cpt.2557
  53. Birdwell K, Decker B, Barbarino J, et al. Clinical Pharmacogenetics Implementation Consortium (CPIC) Guidelines for CYP3A5 Genotype and Tacrolimus Dosing. Clin Pharmacol Ther. 2015;98(1):19-24. doi: 10.1002/cpt.113
  54. Wu PY, Cheng CW, Kaddi CD, Venugopalan J, Hoffman R, Wang MD. –Omic and Electronic Health Record Big Data Analytics for Precision Medicine. IEEE Trans Biomed Eng. 2017;64(2):263-273. doi: 10.1109/TBME.2016.2573285
  55. Stefanicka-Wojtas D, Kurpas D. Personalised Medicine—Implementation to the Healthcare System in Europe (Focus Group Discussions). J Pers Med. 2023;13(3):380. doi: 10.3390/jpm13030380
  56. Delpierre C, Lefèvre T. Precision and personalized medicine: What their current definition says and silences about the model of health they promote. Implication for the development of personalized health. Front Sociol. 2023;8:1112159. doi: 10.3389/fsoc.2023.1112159
  57. Higashi MK, Veenstra DL, Kondo LM, et al. Association Between CYP2C9 Genetic Variants and Anticoagulation-Related Outcomes During Warfarin Therapy. JAMA. 2002;287(13):1690-1698. doi: 10.1001/jama.287.13.1690
  58. Chen C, Wang J, Pan D, et al. Applications of multi‐omics analysis in human diseases. MedComm. 2023;4(4):e315. doi: 10.1002/mco2.315
  59. Karczewski KJ, Snyder MP. Integrative omics for health and disease. Nat Rev Genet. 2018;19(5):299-310. doi: 10.1038/nrg.2018.4
  60. Pirmohamed M. Pharmacogenomics: current status and future perspectives. Nat Rev Genet. 2023;24(6):350-362. doi: 10.1038/s41576-022-00572-8
  61. Misra BB, Langefeld C, Olivier M, Cox LA. Integrated omics: tools, advances and future approaches. J Mol Endocrinol. 2019;62(1):R21-R45. doi: 10.1530/JME-18-0055
  62. Subramanian I, Verma S, Kumar S, Jere A, Anamika K. Multi-omics Data Integration, Interpretation, and Its Application. Bioinform Biol Insights. 2020;14:117793221989905. doi: 10.1177/1177932219899051
  63. Hindhede AL, Andersen VH. The role of AI and personalized medicine in healthcare: balancing technological advancements and the art of medicine. BMC Med Educ. 2025;25(1):1580. doi: 10.1186/s12909-025-07771-x
  64. Sharma P, Sharma P, Sharma K, et al. Revolutionizing Utility of Big Data Analytics in Personalized Cardiovascular Healthcare. Bioengineering. 2025;12(5):463. doi: 10.3390/bioengineering12050463
  65. Afzal M, Riazul Islam SM, Hussain M, Lee S. Precision Medicine Informatics: Principles, Prospects, and Challenges. IEEE Access. 2020;8:13593-13612. doi: 10.1109/ACCESS.2020.2965955
  66. Suwinski P, Ong C, Ling MHT, Poh YM, Khan AM, Ong HS. Advancing Personalized Medicine Through the Application of Whole Exome Sequencing and Big Data Analytics. Front Genet. 2019;10:49. doi: 10.3389/fgene.2019.00049
  67. Razzak MI, Imran M, Xu G. Big data analytics for preventive medicine. Neural Comput Appl. 2020;32(9):4417-4451. doi: 10.1007/s00521-019-04095-y
  68. Barbazzeni B, Friebe M. Prevention, Prediction, Personalization, and Participation as Key Components in Future Health. In: Friebe M, ed. Novel Innovation Design for the Future of Health. Springer International Publishing; 2022:147-152. doi: 10.1007/978-3-031-08191-0_14
  69. Tian Q, Price ND, Hood L. Systems cancer medicine: towards realization of predictive, preventive, personalized and participatory (P4) medicine. J Intern Med. 2012;271(2):111-121. doi: 10.1111/j.1365-2796.2011.02498.x
  70. Binefa G, Rodríguez-Moranta F, Teule A, Medina-Hayas M. Colorectal cancer: From prevention to personalized medicine. World J Gastroenterol. 2014;20(22):6786-6808. doi: 10.3748/wjg.v20.i22.6786
  71. Liao X, Lochhead P, Nishihara R, et al. Aspirin Use, Tumor PIK3CA Mutation, and Colorectal-Cancer Survival. N Engl J Med. 2012;367(17):1596-1606. doi: 10.1056/NEJMoa1207756
  72. Zhao Q, Zhang C, Zhang W, Zhang S, Liu Q, Guo Y. Applications and challenges of biomarker-based predictive models in proactive health management. Front Public Health. 2025;13:1633487. doi: 10.3389/fpubh.2025.1633487
  73. Gabriel RA, Burton BN, Urman RD, Waterman RS. Genomics Testing and Personalized Medicine in the Preoperative Setting. Anesthesiol Clin. 2018;36(4):639-652. doi: 10.1016/j.anclin.2018.07.014
  74. Plöthner M, Ribbentrop D, Hartman JP, Frank M. Cost-Effectiveness of Pharmacogenomic and Pharmacogenetic Test-Guided Personalized Therapies: A Systematic Review of the Approved Active Substances for Personalized Medicine in Germany. Adv Ther. 2016;33(9):1461-1480. doi: 10.1007/s12325-016-0376-8
  75. Funanage VL. Impact of Genetic Testing on Human Health: he Current Landscape and Future for Personalized Medicine. Del J Public Health. 2021;7(5):10-11. doi: 10.32481/djph.2021.12.005
  76. Amir-Aslani A, Mangematin V. The future of drug discovery and development: Shifting emphasis towards personalized medicine. Technol Forecast Soc Change. 2010;77(2):203-217. doi: 10.1016/j.techfore.2009.09.005
  77. Strianese O, Rizzo F, Ciccarelli M, et al. Precision and Personalized Medicine: How Genomic Approach Improves the Management of Cardiovascular and Neurodegenerative Disease. Genes. 2020;11(7):747. doi: 10.3390/genes11070747
  78. Knowles JK, Helbig I, Metcalf CS, et al. Precision medicine for genetic epilepsy on the horizon: Recent advances, present challenges, and suggestions for continued progress. Epilepsia. 2022;63(10):2461-2475. doi: 10.1111/epi.17332
  79. Kim JM, Park SY, Lee D, et al. Genomic investigation of the coronavirus disease-2019 outbreak in the Republic of Korea. Sci Rep. 2021;11(1):6009. doi: 10.1038/s41598-021-85623-6
  80. Fung E, Patsopoulos N, Belknap S, et al. Effect of Genetic Variants, Especially CYP2C9 and VKORC1, on the Pharmacology of Warfarin. Semin Thromb Hemost. 2012;38(08):893-904. doi: 10.1055/s-0032-1328891
  81. Kołodziejczyk J, Fijarczyk A, Porth I, et al. Genomic investigations of successful invasions: the picture emerging from recent studies. Biol Rev. 2025;100(3):1396-1418. doi: 10.1111/brv.70005
  82. Pandey A, Gupta SP. Personalized Medicine: A Comprehensive Review. Orient J Chem. 2024;40(4):933-944. doi: 10.13005/ojc/400403
  83. Yamamoto Y, Kanayama N, Nakayama Y, Matsushima N. Current Status, Issues and Future Prospects of Personalized Medicine for Each Disease. J Pers Med. 2022;12(3):444. doi: 10.3390/jpm12030444
  84. Xu Y, Wu Q. Awareness, understanding, and interest in personalized medicine: A cross-sectional survey study of college students. PLOS ONE. 2023;18(1):e0280832. doi: 10.1371/journal.pone.0280832
  85. Weigelt MA, Lev-Tov HA, Tomic-Canic M, et al. Advanced Wound Diagnostics: Toward Transforming Wound Care into Precision Medicine. Adv Wound Care. 2022;11(6):330-359. doi: 10.1089/wound.2020.1319
  86. Shinde R, Nimbalkar J, Shivakumar HN. Chitosan-based nanoplatforms for drug delivery and biomedical applications: Recent advances and therapeutic perspectives. Next Materials. 2026;13:103091. doi: 10.1016/j.nxmate.2026.103091
  87. Behzadi P, Dodero VI, Golubnitschaja O. Systemic Inflammation as the Health-Related Communication Tool Between the Human Host and Gut Microbiota in the Framework of Predictive, Preventive, and Personalized Medicine. In: Wang W, ed. All Around Suboptimal Health. Vol 18. Advances in Predictive, Preventive and Personalised Medicine. Springer Nature Switzerland; 2024:203-241. doi: 10.1007/978-3-031-46891-9_15
  88. Yuan B. What Personalized Medicine Humans Need and Way to It ——also on the Practical Significance and Scientific Limitations of Precision Medicine. Pharmacogenomics Pers Med. 2022;Volume 15:927-942. doi: 10.2147/PGPM.S380767
  89. Slamon DJ, Leyland-Jones B, Shak S, et al. Use of Chemotherapy plus a Monoclonal Antibody against HER2 for Metastatic Breast Cancer That Overexpresses HER2. N Engl J Med. 2001;344(11):783-792. doi: 10.1056/NEJM200103153441101
  90. Subhan MA, Yalamarty SSK, Filipczak N, Parveen F, Torchilin VP. Recent Advances in Tumor Targeting via EPR Effect for Cancer Treatment. J Pers Med. 2021;11(6):571. doi: 10.3390/jpm11060571
  91. Chapman PB, Hauschild A, Robert C, et al. Improved Survival with Vemurafenib in Melanoma with BRAF V600E Mutation. N Engl J Med. 2011;364(26):2507-2516. doi: 10.1056/NEJMoa1103782
  92. Gage B, Eby C, Johnson J, et al. Use of Pharmacogenetic and Clinical Factors to Predict the Therapeutic Dose of Warfarin. Clin Pharmacol Ther. 2008;84(3):326-331. doi: 10.1038/clpt.2008.10
  93. Mega JL, Close SL, Wiviott SD, et al. Cytochrome P-450 Polymorphisms and Response to Clopidogrel. N Engl J Med. 2009;360(4):354-362. doi: 10.1056/NEJMoa0809171
  94. Li D, Mastaglia FL, Fletcher S, Wilton SD. Progress in the molecular pathogenesis and nucleic acid therapeutics for Parkinson’s disease in the precision medicine era. Med Res Rev. 2020;40(6):2650-2681. doi: 10.1002/med.21718
  95. Phillips EJ, Sukasem C, Whirl‐Carrillo M, et al. Clinical Pharmacogenetics Implementation Consortium Guideline for HLA Genotype and Use of Carbamazepine and Oxcarbazepine: 2017 Update. Clin Pharmacol Ther. 2018;103(4):574-581. doi: 10.1002/cpt.1004
  96. Mallal S, Phillips E, Carosi G, et al. HLA-B*5701 Screening for Hypersensitivity to Abacavir. N Engl J Med. 2008;358(6):568-579. doi: 10.1056/NEJMoa0706135
  97. Azuma J, Ohno M, Kubota R, et al. NAT2 genotype guided regimen reduces isoniazid-induced liver injury and early treatment failure in the 6-month four-drug standard treatment of tuberculosis: A randomized controlled trial for pharmacogenetics-based therapy. Eur J Clin Pharmacol. 2013;69(5):1091-1101. doi: 10.1007/s00228-012-1429-9
  98. Hulsen T. Challenges and solutions for big data in personalized healthcare. In: Big Data in Psychiatry #x0026; Neurology. Elsevier; 2021:69-94. doi: 10.1016/B978-0-12-822884-5.00016-7
  99. Caudle KE, Sangkuhl K, Whirl‐Carrillo M, et al. Standardizing CYP 2D6 Genotype to Phenotype Translation: Consensus Recommendations from the Clinical Pharmacogenetics Implementation Consortium and Dutch Pharmacogenetics Working Group. Clin Transl Sci. 2020;13(1):116-124. doi: 10.1111/cts.12692
  100. Barbarino JM, Whirl‐Carrillo M, Altman RB, Klein TE. PharmGKB: A worldwide resource for pharmacogenomic information. WIREs Syst Biol Med. 2018;10(4):e1417. doi: 10.1002/wsbm.1417
  101. Whirl‐Carrillo M, Huddart R, Gong L, et al. An Evidence‐Based Framework for Evaluating Pharmacogenomics Knowledge for Personalized Medicine. Clin Pharmacol Ther. 2021;110(3):563-572. doi: 10.1002/cpt.2350
  102. Landrum MJ, Chitipiralla S, Brown GR, et al. ClinVar: improvements to accessing data. Nucleic Acids Res. 2020;48(D1):D835-D844. doi: 10.1093/nar/gkz972
  103. Caudle KE, Dunnenberger HM, Freimuth RR, et al. Standardizing terms for clinical pharmacogenetic test results: consensus terms from the Clinical Pharmacogenetics Implementation Consortium (CPIC). Genet Med. 2017;19(2):215-223. doi: 10.1038/gim.2016.87
  104. Hicks JK, Dunnenberger HM, Gumpper KF, Haidar CE, Hoffman JM. Integrating pharmacogenomics into electronic health records with clinical decision support. Am J Health Syst Pharm. 2016;73(23):1967-1976. doi: 10.2146/ajhp160030
  105. Hanci Handzha L, Nakamura Y. Significance and challenges of immunopharmacogenomics. Front Immunol. 2025;16:1711887. doi: 10.3389/fimmu.2025.1711887
  106. Primorac D, Bach-Rojecky L, Vađunec D, et al. Pharmacogenomics at the Center of Precision Medicine: Challenges and Perspective in an Era of Big Data. Pharmacogenomics. 2020;21(2):141-156. doi: 10.2217/pgs-2019-0134
Share
Back to top
INNOSC Theranostics and Pharmacological Sciences, Electronic ISSN: 2705-0823 Print ISSN: 2705-0734, Published by AccScience Publishing