Research Directions in the Clinical Implementation of Pharmacogenomics: An Overview of US Programs and Projects
Open accessAbstract
Response to a drug often differs widely among individual patients. This variability is frequently observed not only with respect to effective responses but also with adverse drug reactions. Matching patients to the drugs that are most likely to be effective and least likely to cause harm is the goal of effective therapeutics. Pharmacogenomics (PGx) holds the promise of precision medicine through elucidating the genetic determinants responsible for pharmacological outcomes and using them to guide drug selection and dosing. Here we survey the US landscape of research programs in PGx implementation, review current advances and clinical applications of PGx, summarize the obstacles that have hindered PGx implementation, and identify the critical knowledge gaps and possible studies needed to help to address them.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Pharmacogenetics roll-out has been hampered by factors including lack of clinical decision support in electronic medical systems.
“For example, despite multiple examples of clinically important genetic markers related to drug efficacy and side-effect profile145, the roll-out of pharmacogenetics has been hampered by a range of factors, including lack of clinical decision support in electronic medical systems to guide the drug choice or dosing by the physician.”
From A brief history of human disease genetics (2020) · cites this paper as [145]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Damschroder, L. J., Aron, D. C., Keith, R. E., Kirsh, S. R., Alexander, J. A., & Lowery, J. C. (2009) · Implementation Science · doi:10.1186/1748-5908-4-50 · Cited by 14,496 · see citing works
Curran, G. M., Bauer, M., Mittman, B., Pyne, J. M., & Stetler, C. (2012) · Medical Care · doi:10.1097/mlr.0b013e3182408812 · Cited by 4,058 · see citing works
Genomics is failing on diversity
Popejoy, A. B., & Fullerton, S. M. (2016) · Nature · doi:10.1038/538161a · Cited by 1,924 · see citing works
Kalia, S. S., Adelman, K., Bale, S. J., Chung, W. K., Eng, C. M., Evans, J. P., Herman, G. E., Hufnagel, S. B., Klein, T. E., Korf, B. R., et al. (2016) · Genetics in Medicine · doi:10.1038/gim.2016.190 · Cited by 1,646 · see citing works
Self-citationFord, I., & Norrie, J. (2016) · New England Journal of Medicine · doi:10.1056/nejmra1510059 · Cited by 1,405 · see citing works
George, H., Duke Jon, D., Shah Nigam, H., Reich Christian, G., Vojtech, H., Schuemie Martijn, J., Suchard Marc, A., Woong, P. R., Kei, W. I. C., Rijnbeek Peter, R., et al. (2015) · Studies in Health Technology and Informatics · doi:10.3233/978-1-61499-564-7-574 · Cited by 1,107 · see citing works
Pharmacogenomics in the clinic
Relling, M. V., & Evans, W. E. (2015) · Nature · doi:10.1038/nature15817 · Cited by 955 · see citing works
Self-citationImplementing genomic medicine in the clinic: the future is here
Manolio, T. A., Chisholm, R. L., Ozenberger, B., Roden, D. M., Williams, M. S., Wilson, R., Bick, D. P., Böttinger, E. P., Brilliant, M. H., Eng, C., et al. (2013) · Genetics in Medicine · doi:10.1038/gim.2012.157 · Cited by 580 · see citing works
Self-citationCaudle, K. E., Dunnenberger, H. M., Freimuth, R. R., Peterson, J. F., Burlison, J. D., Whirl‐Carrillo, M., Scott, S. A., Rehm, H. L., Williams, M. S., Klein, T. E., et al. (2016) · Genetics in Medicine · doi:10.1038/gim.2016.87 · Cited by 572 · see citing works
Self-citationPreemptive Clinical Pharmacogenetics Implementation: Current Programs in Five US Medical Centers
Dunnenberger, H. M., Crews, K. R., Hoffman, J. M., et al. (2014) · The Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev-pharmtox-010814-124835 · Cited by 514 · see citing works
Pulley, J. M., Denny, J. C., Peterson, J., Bernard, G. R., Vnencak-Jones, C. L., Ramirez, A. H., Delaney, J. T., Bowton, E., Brothers, K., Johnson, K. B., et al. (2012) · Clinical Pharmacology & Therapeutics · doi:10.1038/clpt.2011.371 · Cited by 414 · see citing works
Self-citationCavallari, L. H., Lee, C. R., Beitelshees, A. L., Cooper‐DeHoff, R. M., Duarte, J. D., Voora, D., Kimmel, S. E., McDonough, C. W., Gong, Y., Dave, C. V., et al. (2017) · JACC: Cardiovascular Interventions · doi:10.1016/j.jcin.2017.07.022 · Cited by 315 · see citing works
Self-citationvan der Wouden, C. H., Cambon‐Thomsen, A., Cecchin, E., et al. (2016) · Clinical Pharmacology & Therapeutics · doi:10.1002/cpt.602 · Cited by 307 · see citing works
Harrison, S. M., Dolinsky, J. S., Knight Johnson, A. E., Pesaran, T., Azzariti, D. R., Bale, S., Chao, E. C., Das, S., Vincent, L., & Rehm, H. L. (2017) · Genetics in Medicine · doi:10.1038/gim.2017.14 · Cited by 234 · see citing works
Self-citationOptimizing Drug Outcomes Through Pharmacogenetics: A Case for Preemptive Genotyping
Schildcrout, J. S., Denny, J. C., Bowton, E., Gregg, W., Pulley, J. M., Basford, M., Cowan, J. D., Xu, H., Ramirez, A. H., Crawford, D. C., et al. (2012) · Clinical Pharmacology & Therapeutics · doi:10.1038/clpt.2012.66 · Cited by 192 · see citing works
Self-citationGenetic variation among 82 pharmacogenes: The PGRNseq data from the eMERGE network
Bush, W. S., Crosslin, D., Obeng, A. O., Wallace, J., Almoguera, B., Basford, M., Bielinski, S. J., Carrell, D., Connolly, J. J., Crawford, D. C., et al. (2016) · Clinical Pharmacology & Therapeutics · doi:10.1002/cpt.350 · Cited by 184 · see citing works
Self-citationKalman, L., Agúndez, J. A. G., Appell, M. L., Black, J., Bell, G., Boukouvala, S., Bruckner, C., Bruford, E. A., Caudle, K., Coulthard, S., et al. (2015) · Clinical Pharmacology & Therapeutics · doi:10.1002/cpt.280 · Cited by 179 · see citing works
Self-citationGreen, R. C., Goddard, K. A. B., Jarvik, G. P., Amendola, L. M., Appelbaum, P. S., Berg, J. S., Bernhardt, B. A., Biesecker, L. G., Biswas, S., Zawatsky, C. L. B., et al. (2016) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2016.04.011 · Cited by 155 · see citing works
Self-citationThe value of pragmatic and observational studies in health care and public health
Barnish, M. S., & Turner, S. (2017) · Pragmatic and Observational Research · doi:10.2147/por.s137701 · Cited by 118 · see citing works
Multidisciplinary model to implement pharmacogenomics at the point of care
Caraballo, P. J., Hodge, L. S., Bielinski, S. J., et al. (2016) · Genetics in Medicine · doi:10.1038/gim.2016.120 · Cited by 94 · see citing works
Cavallari, L. H., Beitelshees, A., Blake, K., Dressler, L. G., Duarte, J., Elsey, A. R., Eichmeyer, J. N., Empey, P. E., Franciosi, J., Hicks, J. K., et al. (2017) · Clinical and Translational Science · doi:10.1111/cts.12456 · Cited by 94 · see citing works
Self-citationMills, R. A., & Haga, S. B. (2013) · Pharmacogenomics · doi:10.2217/pgs.13.76 · Cited by 78 · see citing works
Institutional Profile: University of Florida Health Personalized Medicine Program
Cavallari, L. H., Weitzel, K. W., Elsey, A. R., et al. (2017) · Pharmacogenomics · doi:10.2217/pgs-2017-0028 · Cited by 78 · see citing works
Self-citationPhysician response to implementation of genotype‐tailored antiplatelet therapy
Peterson, J., Field, J., Unertl, K. M., Schildcrout, J. S., Johnson, D., Shi, Y., Danciu, I., Cleator, J. H., Pulley, J., McPherson, J., et al. (2015) · Clinical Pharmacology & Therapeutics · doi:10.1002/cpt.331 · Cited by 72 · see citing works
Self-citationLessons Learned When Introducing Pharmacogenomic Panel Testing into Clinical Practice
Rosenman, M. B., Decker, B. S., Levy, K. D., Holmes, A. M., Pratt, V. M., & Eadon, M. T. (2016) · Value in Health · doi:10.1016/j.jval.2016.08.727 · Cited by 61 · see citing works
Cost effectiveness analysis of HLA-B*58:01 genotyping prior to initiation of allopurinol for gout
Plumpton, C., Alfirevic, A., Pirmohamed, M., & Hughes, D. A. (2017) · Lara D. Veeken · doi:10.1093/rheumatology/kex253 · Cited by 57 · see citing works
Frueh, F. W. (2009) · Pharmacogenomics · doi:10.2217/pgs.09.62 · Cited by 50 · see citing works
A Success Story in Pharmacogenomics: Genetic Id Card for SJS/TEN
Sukasem, C., & Chantratita, W. (2016) · Pharmacogenomics · doi:10.2217/pgs-2015-0009 · Cited by 33 · see citing works
Pharmacogenetics in Clinical Pediatrics: Challenges and Strategies
Driest, S. L. V., & McGregor, T. L. (2013) · Personalized Medicine · doi:10.2217/pme.13.70 · Cited by 32 · see citing works
Clinical implementation of pharmacogenetics
García‐González, X., Cabaleiro, T., Herrero, M. J., et al. (2016) · Drug Metabolism and Personalized Therapy · doi:10.1515/dmpt-2015-0031 · Cited by 26 · see citing works
HLA-B*1502 Screening and Toxic Effects of Carbamazepine
Liao, W.-P., Shi, Y.-W., & Min, F.-L. (2011) · New England Journal of Medicine · doi:10.1056/nejmc1105467 · Cited by 22 · see citing works
Individualizing the Use of Medications in Children: Making Goldilocks Happy
Leeder, J. S., Brown, J. T., & Soden, S. (2014) · Clinical Pharmacology & Therapeutics · doi:10.1038/clpt.2014.130 · Cited by 15 · see citing works
Self-citationDocumenting Pharmacogenomic Testing with CPT Codes.
Hefti, E., & Blanco, J. G. (2016) · PubMed · Cited by 11 · see citing works
Characterizing Pharmacogenomic‐Guided Medication Use With a Clinical Data Repository
Mathias, P., Hendrix, N., Wang, W., et al. (2017) · Clinical Pharmacology & Therapeutics · doi:10.1002/cpt.611 · Cited by 9 · see citing works
Bock, J. A., Fairley, K. J., Smith, R. E., et al. (2014) · Public Health Genomics · doi:10.1159/000365939 · Cited by 5 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- [31]UF University of Florida, Precision Medicine Conference < http://precisionmed.pharmacy.ufl.edu/> 2017 Accessed 11/9/2017
- [34]NCBI GTR: Genetic Testing Registry < https://www.ncbi.nlm.nih.gov/gtr/all/?term=pharmacogenetic%5Bkeyword%5D> 2017 Accessed 9/12/2017
Cited by
Sorted by citations
A brief history of human disease genetics
Claussnitzer, M., Cho, J. H., Collins, R., Cox, N. J., Dermitzakis, E. T., Hurles, M. E., Kathiresan, S., Kenny, E. E., Lindgren, C. M., MacArthur, D. G., et al. (2020) · Nature · doi:10.1038/s41586-019-1879-7 · Cited by 697 · see citing works
Self-citation
- Authors
- Volpi, S., Bult, C. J., Chisholm, R. L., Deverka, P. A., Ginsburg, G. S., Jacob, H. J., Kasapi, M., McLeod, H. L., Roden, D. M., Williams, M. S., Green, E. D., Rodriguez, L. L., Aronson, S., Cavallari, L. H., Denny, J. C., Dressler, L. G., Johnson, J. A., Klein, T. E., Leeder, J. S., Piquette‐Miller, M., Perera, M., Rasmussen‐Torvik, L. J., Rehm, H. L., Ritchie, M. D., Skaar, T. C., Wagle, N., Weinshilboum, R., Weitzel, K. W., Wildin, R., Wilson, J., Manolio, T. A., & Relling, M. V.
- Affiliations
- National Institutes of Health (US)
- Jackson Laboratory (US)
- Northwestern University (US)
- American Institutes for Research (US)
- Duke University (US)
- HudsonAlpha Institute for Biotechnology (US)
- Moffitt Cancer Center (US)
- Vanderbilt University Medical Center (US)
- Geisinger Health System (US)
- Partners Healthcare Cambridge Massachusetts USA
- University of Florida (US)
- Vanderbilt University (US)
- Mission Health (US)
- Stanford University (US)
- Children's Mercy Hospital (US)
- University of Toronto (CA)
- Brigham and Women's Hospital (US)
- University of Pennsylvania (US)
- Indiana University Indianapolis (US)
- Dana-Farber Cancer Institute (US)
- Mayo Clinic (US)
- University of Florida Health (US)
- University of Vermont Medical Center (US)
- Optum (United States) (US)
- St. Jude Children's Research Hospital (US)
- Corresponding author
- Volpi, Simona
- ORCID
- Volpi, Simona
- Bult, Carol J.
- Chisholm, Rex L.
- Deverka, Patricia A.
- Ginsburg, Geoffrey S.
- Jacob, Howard J.
- Kasapi, Melpomeni
- McLeod, Howard L.
- Roden, Dan M.
- Williams, Marc S.
- Green, Eric D.
- Rodriguez, Laura Lyman
- Aronson, Samuel
- Cavallari, Larisa H.
- Denny, Joshua C.
- Johnson, Julie A.
- Klein, Teri E.
- Leeder, J. Steven
- Piquette‐Miller, Micheline
- Perera, Minoli
- Rasmussen‐Torvik, Laura J.
- Rehm, Heidi L.
- Ritchie, Marylyn D.
- Skaar, Todd C.
- Wagle, Nikhil
- Weinshilboum, Richard
- Wildin, Robert
- Wilson, John
- Manolio, Teri A.
- Relling, Mary V.
- Venue
- Clinical Pharmacology & Therapeutics
- Publisher
- Wiley
- Published
- 2018-03-30
- Volume
- 103
- Issue
- 5
- Pages
- 778-786
- ISSN
- 0009-9236 (ISSN-L)
- 1532-6535
- PMC
- PMC5902434
- OpenAlex
- W2793349513
- Cited by
- 135
- References
- 35
- Citations by year
- 2026: 4 · 2025: 7 · 2024: 9 · 2023: 15 · 2022: 27 · 2021: 22 · 2020: 19 · 2019: 22 · 2018: 10
- FWCI
- 3.54
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Clinical Pharmacology & Therapeutics (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- The Mouseion at the JAXlibrary (Jackson Laboratory) (submittedVersion)
- IUScholarWorks (Indiana University) (submittedVersion)
- Funders
- National Human Genome Research Institute (NIH U01HG007282)
- Topics
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmacology › Pharmacogenetics and Drug Metabolism
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Nutrition, Genetics, and Disease
- Keywords
- pharmacogenomics, clinical implementation, precision medicine, adverse drug reactions, drug response variability, drug selection, dosage, research programs, knowledge gaps, implementation barriers
- MeSH terms
- Humans, Pharmacogenetics, Research, United States, Precision Medicine
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review