The DOI matches its Crossref record; 49 of the 51 references it cites were found in a registry or an index.
Physician-Reported Benefits and Barriers to Clinical Implementation of Genomic Medicine: A Multi-Site IGNITE-Network Survey
Open accessAbstract
Genetic medicine is one of the key components of personalized medicine, but adoption in clinical practice is still limited. To understand potential barriers and provider attitudes, we surveyed 285 physicians from five Implementing GeNomics In pracTicE (IGNITE) sites about their perceptions as to the clinical utility of genetic data as well as their preparedness to integrate it into practice. These responses were also analyzed in comparison to the type of study occurring at the physicians’ institution (pharmacogenetics versus disease genetics). The majority believed that genetic testing is clinically useful; however, only a third believed that they had obtained adequate training to care for genetically “high-risk” patients. Physicians involved in pharmacogenetics initiatives were more favorable towards genetic testing applications; they found it to be clinically useful and felt more prepared and confident in their abilities to adopt it into their practice in comparison to those participating in disease genetics initiatives. These results suggest that investigators should explore which attributes of clinical pharmacogenetics (such as the use of simplified genetics-guided recommendations) can be implemented to improve attitudes and preparedness to implement disease genetics in care. Most physicians felt unprepared to use genetic information in their practice; accordingly, major steps should be taken to develop effective clinical tools and training strategies for physicians.
Overview
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
Verification
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?
The cited source says what the claim attributes to it.
In the citing paper
“Professionals also describe a lack in their own knowledge or a limited understanding, as quantitative studies demonstrate [36, 37, 44, 81, 82, 92, 103, 104].”
From Patients’ and professionals’ views related to ethical issues in precision medicine: a mixed research synthesis (2021) · cites this paper as [81]
The cited source says what the claim attributes to it.
In the citing paper
“Various studies reveal that the majority of professionals have a positive attitude towards PM in general or towards interventions, which are mentioned under the label of PM [27, 34, 43, 45, 47, 50, 79–83].”
From Patients’ and professionals’ views related to ethical issues in precision medicine: a mixed research synthesis (2021) · cites this paper as [81]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
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
2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes—2018
American Diabetes Association (2018) · Diabetes Care · doi:10.2337/dc18-s002 · Cited by 3,159
Pharmacogenomics Knowledge for Personalized Medicine
Whirl‐Carrillo, M., McDonagh, E. M., Hebert, J. M., Gong, L., Sangkuhl, K., Thorn, C. F., Altman, R. B., & Klein, T. E. (2012) · Clinical Pharmacology & Therapeutics · doi:10.1038/clpt.2012.96 · Cited by 1,791
Khanna, D., FitzGerald, J. D., Khanna, P. P., Bae, S. S., Singh, M. K., Neogi, T., Pillinger, M. H., Merill, J., Lee, S., Prakash, S., et al. (2012) · Arthritis Care & Research · doi:10.1002/acr.21772 · Cited by 1,549
CPIC: Clinical Pharmacogenetics Implementation Consortium of the Pharmacogenomics Research Network
Relling, M. V., & Klein, T. E. (2011) · Clinical Pharmacology & Therapeutics · doi:10.1038/clpt.2010.279 · Cited by 1,173
Pharmacogenetics: From Bench to Byte— An Update of Guidelines
Swen, J. J., Nijenhuis, M., de Boer, A., Grandia, L., der Zee, A. H. M., Mulder, H., Rongen, G. A. P. J. M., van Schaik, R. H. N., Schalekamp, T., Touw, D. J., et al. (2011) · Clinical Pharmacology & Therapeutics · doi:10.1038/clpt.2011.34 · Cited by 1,020
Keith, R. E., Crosson, J. C., O’Malley, A. S., Cromp, D., & Taylor, E. F. (2017) · Implementation Science · doi:10.1186/s13012-017-0550-7 · Cited by 710
the eMERGE Team, McCarty, C. A., Chisholm, R. L., Chute, C. G., Kullo, I. J., Jarvik, G. P., Larson, E. B., Li, R., Masys, D. R., Ritchie, M. D., et al. (2011) · BMC Medical Genomics · doi:10.1186/1755-8794-4-13 · Cited by 701
Caudle, K. E., Klein, T. E., Hoffman, J. M., Müller, D. J., Whirl‐Carrillo, M., Gong, L., McDonagh, E. M., Sangkuhl, K., Thorn, C. F., Schwab, M. G., et al. (2014) · Current Drug Metabolism · doi:10.2174/1389200215666140130124910 · Cited by 453
Mikat-Stevens, N. A., Larson, I. A., & Tarini, B. A. (2014) · Genetics in Medicine · doi:10.1038/gim.2014.101 · Cited by 259
Cited by
Sorted by citations
Items 101–131 of 131
Genomic testing for differences of sex development: Practices and perceptions of clinicians
Atlas, G., Hanna, C., Tan, T. Y., Nisselle, A. E., Tucker, E. J., Ayers, K. L., Sinclair, A. H., & O’Connell, M. A. (2024) · Clinical Endocrinology · doi:10.1111/cen.15123 · Cited by 1
Women’s preferences for genetic screening in routine care: A qualitative study
Madeo, A. C., Kohlmann, W. K., Liao, Y., Zhong, L., Rothwell, E., & Kaphingst, K. A. (2024) · Patient Education and Counseling · doi:10.1016/j.pec.2024.108439 · Cited by 1
Johannsen, A. L., Danowski, M. E., Sitter, K. E., Preys, C. L., Gerety, H. L., Brunette, C. A., Christensen, K. D., Gaziano, J. M., Knowles, J. W., Muralidhar, S., et al. (2025) · Genetics in Medicine · doi:10.1016/j.gim.2025.101416 · Cited by 1
Fecteau, H., Pfleger, H., Nathan, D., Siddiqui, S., Horton, C., Milliard, C. F., Pilarski, R., Ryan, E., Thrush, D. L., Rañola, J. M. O., et al. (2025) · Journal of the National Comprehensive Cancer Network · doi:10.6004/jnccn.2025.7025 · Cited by 1
Korneenkov, A. A., Yanov, Y. К., Эмильевна, В. Е., & Medvedeva, A. Y. (2025) · Meditsinskiy sovet = Medical Council · doi:10.21518/ms2025-351 · Cited by 1
Aldurdunji, M. M., Ashour, A. M., Alshehri, F. S., & Alorfi, N. M. (2025) · Medicine · doi:10.1097/md.0000000000046574 · Cited by 1
Crawford, D. C., Lin, J. P., Bailey, J. N. C., Kinzy, T. G., Sedor, J. R., O’Toole, J. F., & Bush, W. S. (2019) · Pacific Symposium on Biocomputing (PSB) · doi:10.1142/9789811215636_0051 · Cited by 2
Individualizing Pharmacogenomic Test Results in the Context of the Microbiome
Haga, S. B. (2020) · Personalized Medicine · doi:10.2217/pme-2020-0077 · Cited by 2
Pharmacogenomics: Challenges and Future Perspectives
Quiñones, L. A., Martínez, M. M., Cerpa, L. C., & Varela, N. (2021) · Springer eBooks · doi:10.1007/978-3-030-51519-5_128-1 · Cited by 1
ASO Author Reflections: The Pressing Need for Germline Genetic Testing
Plichta, J. K., & Hughes, K. S. (2019) · Annals of Surgical Oncology · doi:10.1245/s10434-019-07428-2
Khan, M., Jahan, S., Abrar, N., Saleem, L., Mazhar, R., & Hussain, A. (2020) · Journal of Rawalpindi Medical College · doi:10.37939/jrmc.v24isupp-1.1410
Mendieta, E. J. L., García, R. M., Sánchez, G. M. V., Martín, P. S., Romero, M. M., & Clemente, M. O. (2020) · Revista de Medicina de Laboratorio · doi:10.20960/revmedlab.00034
Sebastian, A. (2020) · TSpace (University of Toronto)
An Integrated Approach to Deploy Panel-Based Pharmacogenetic Testing and Clinical Decision Support
Pulk, R., Hsiao, A., Murray, M. F., Stump, L. S., & Schulz, W. L. (2021) · The Journal of Applied Laboratory Medicine · doi:10.1093/jalm/jfab043
Pépin, M., Otis, A., Tremblay, Z., Boulé, M., Lebel, D., Major, P., Lortie, A., Pinchefsky, E. F., Rossignol, E., Carleton, B., et al. (2022) · Personalized Medicine · doi:10.2217/pme-2021-0150
Pharmacogenomics: Challenges and Future Perspectives
Quiñones, L. A., Martínez, M. M., Cerpa, L. C., & Varela, N. (2022) · Springer eBooks · doi:10.1007/978-3-030-84860-6_128
Ooi, B. N. S., Lim, A. J. W., Chong, S. S., & Lee, C. G. L. (2022) · Springer eBooks · doi:10.1007/978-3-031-05616-1_8
Salam, R. A., Gide, T. N., Cust, A. E., Scolyer, R. A., Long, G. V., da Silva, I. P., Ferguson, P. M., Mann, G. J., Watts, C. G., Wilmott, J. S., et al. (2023) · Research Square · doi:10.21203/rs.3.rs-2844230/v1
Genetics in Pediatric Practice
Slavotinek, A. M. (2023) · Pediatric Clinics of North America · doi:10.1016/j.pcl.2023.05.003
Dautović, D. O., & Ašić, A. (2024) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-3-031-49068-2_29
Asynchronous consult report generation for pharmacogenomic clinical support: Time and motion
Bright, D. R., Klepser, D. G., & Langerveld, A. J. (2024) · Research in Social and Administrative Pharmacy · doi:10.1016/j.sapharm.2024.03.002
Johannsen, A. L., Danowski, M. E., Sitter, K. E., Preys, C. L., Gerety, H. L., Brunette, C. A., Christensen, K. D., Gaziano, J. M., Knowles, J. W., Muralidhar, S., et al. (2024) · medRxiv · doi:10.1101/2024.10.29.24316065
Genomic tools and techniques—An introduction
Ramanathan, B., Jadhav, S. A., Kumar, D. K., Ramsait, S. P., & Kumaramanickavel, G. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-91799-5.00014-0
Proactive process evaluation of precision medicine platforms: a roadmap
Cresswell, K. M. (2025) · BMJ Health & Care Informatics · doi:10.1136/bmjhci-2025-101434
Makrygianni, D., Koufaki, M.-I., Patrinos, G. P., & Vasileiou, K. (2024) · Figshare · doi:10.6084/m9.figshare.26577302
Fok, R. W., Ong, C. S. B., Lie, D., Ishak, D., Fung, S. M., Tang, W. E., Sun, S. H.-L., Smith, H., & Ngeow, J. Y. Y. (2021) · Figshare · doi:10.6084/m9.figshare.14897185
Symecko, H., Schnoll, R., Beidas, R. S., Bekelman, J. E., Blumenthal, D., Bauer, A.-M., Gabriel, P., Boisseau, L., Doucette, A. G., Powers, J. M., et al. (2023) · Figshare · doi:10.6084/m9.figshare.24515952
Makrygianni, D., Koufaki, M.-I., Patrinos, G. P., & Vasileiou, K. (2024) · Figshare · doi:10.6084/m9.figshare.26577305
Symecko, H., Schnoll, R., Beidas, R. S., Bekelman, J. E., Blumenthal, D., Bauer, A.-M., Gabriel, P., Boisseau, L., Doucette, A. G., Powers, J. M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.24516108
Do, T. T., Dawson-McClaren, B., Gaff, C., & Martyn, M. M. (2026) · Implementation Science Communications · doi:10.1186/s43058-026-01026-6
Dawson-McClaren, B., Kelly, C., Do, T. T., Arkell, K., & Gaff, C. (2026) · BMJ Leader · doi:10.1136/leader-2026-001534
Metadata
- Authors
- Owusu Obeng, A., Fei, K., Levy, K. D., Elsey, A. R., Pollin, T. I., Ramirez, A. H., Weitzel, K. W., & Horowitz, C. R.
- Affiliations
- The Charles Bronfman Institute for Personalized Medicine and Department of Genetics and Genomic Sciences, The Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Icahn School of Medicine at Mount Sinai (US)
- Indiana University Indianapolis (US)
- University of Florida Health (US)
- University of Maryland, Baltimore (US)
- Vanderbilt University (US)
- Venue
- Journal of Personalized Medicine
- Publisher
- MDPI AG
- Published
- 2018-07-24
- Volume
- 8
- Issue
- 3
- Pages
- 24
- ISSN
- 2075-4426 (ISSN-L)
- PMC
- PMC6163471
- OpenAlex
- W2884510764
- Cited by
- 131
- References
- 51
- Citations by year
- 2026: 2 · 2025: 11 · 2024: 21 · 2023: 12 · 2022: 14 · 2021: 28 · 2020: 28 · 2019: 14 · 2018: 1
- FWCI
- 19.53
- Type
- journal article
- Language
- en
- Open access
- gold
- dx.doi.org
- Licence
- Locations
- Journal of Personalized Medicine (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- IUScholarWorks (Indiana University) (submittedVersion, cc-by-nc-nd)
- Purdue University Indianapolis (Indiana University) (submittedVersion, cc-by-nc-nd)
- Funders
- NIH/NHGRI (5U01HG007278; U01HG006380; 5U01HG007762; U01HG007775; U01HG007269; U01HG07253)
- Topics
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmacology › Pharmacogenetics and Drug Metabolism
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genetics, Bioinformatics, and Biomedical Research
- Keywords
- genomic medicine, clinical implementation, physician attitudes, implementation barriers, genetic testing, pharmacogenetics, disease genetics, physician preparedness, personalized 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