The DOI matches its Crossref record; 96 of the 96 references it cites were found in a registry or an index.
Pharmacogenomics in the clinic
Open accessAbstract
After decades of discovery, inherited variations have been identified in approximately 20 genes that affect about 80 medications and are actionable in the clinic. And some somatically acquired genetic variants direct the choice of 'targeted' anticancer drugs for individual patients. Current efforts that focus on the processes required to appropriately act on pharmacogenomic variability in the clinic are moving away from discovery and towards implementation of an evidenced-based strategy for improving the use of medications, thereby providing a cornerstone for precision medicine.
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.
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
ClinVar: public archive of relationships among sequence variation and human phenotype
Landrum, M. J., Lee, J. M., Riley, G. R., Jang, W., Rubinstein, W. S., Church, D. M., & Maglott, D. R. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1113 · Cited by 3,516
HLA-B*5701 Screening for Hypersensitivity to Abacavir
Mallal, S., Phillips, E., Carosi, G., Molina, J.-M., Workman, C., Tomažič, J., Jägel-Guedes, E., Rugina, S., Kozyrev, O., Cid, J. F., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0706135 · Cited by 1,835
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 1,796
Shuldiner, A. R. (2009) · JAMA · doi:10.1001/jama.2009.1232 · Cited by 1,505
ClinGen — The Clinical Genome Resource
Rehm, H. L., Berg, J. S., Brooks, L. D., Bustamante, C. D., Evans, J. P., Landrum, M. J., Ledbetter, D. H., Maglott, D. R., Martin, C. L., Nussbaum, R. L., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmsr1406261 · Cited by 1,496
Bosma, P. J., Chowdhury, J. R., Bakker, C., Gantla, S., de Boer, A., Oostra, B. A., Lindhout, D., Tytgat, G. N. J., Jansen, P. L. M., Elferink, R. P. J. O., et al. (1995) · New England Journal of Medicine · doi:10.1056/nejm199511023331802 · Cited by 1,447
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 1,164
Self-citationMega, J. L., Simon, T., Collet, J.-P., Anderson, J. L., Antman, E. M., Bliden, K., Cannon, C. P., Danchin, N., Giusti, B., Gurbel, P., et al. (2010) · JAMA · doi:10.1001/jama.2010.1543 · Cited by 1,135
Pharmacogenetics: From Bench to Byte— An Update of Guidelines
Swen, J. J., Nijenhuis, M., de Boer, A., Grandia, L., Maitland-van der Zee, A. H., 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 1,018
Current Protocols in Human Genetics
(2001) · John Wiley & Sons, Inc. eBooks · doi:10.1002/0471142905 · Cited by 987
Cited by
Deep learning in cancer diagnosis, prognosis and treatment selection
Tran, K. A., Kondrashova, O., Bradley, A., Williams, E. D., Pearson, J. V., & Waddell, N. (2021) · Genome Medicine · doi:10.1186/s13073-021-00968-x · Cited by 932
Nelson, G., Bakkum-Gamez, J., Kalogera, E., Glaser, G., Altman, A., Meyer, L. A., Taylor, J. S., Iniesta, M., Lasala, J., Mena, G., et al. (2019) · International Journal of Gynecological Cancer · doi:10.1136/ijgc-2019-000356 · Cited by 758
Pharmacogenomics of GPCR Drug Targets
Hauser, A. S., Chavali, S., Masuho, I., Jahn, L. J., Martemyanov, K. A., Gloriam, D. E., & Babu, M. M. (2018) · Cell · doi:10.1016/j.cell.2017.11.033 · Cited by 616
Personalized Medicine and the Power of Electronic Health Records
Abul-Husn, N. S., & Kenny, E. E. (2019) · Cell · doi:10.1016/j.cell.2019.02.039 · Cited by 355
Variant interpretation: functional assays to the rescue
Starita, L. M., Ahituv, N., Dunham, M. J., Kitzman, J. O., Roth, F. P., Seelig, G., Shendure, J., & Fowler, D. M. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.07.014 · Cited by 381
Metadata
- Authors
- Relling, M. V., & Evans, W. E.
- Venue
- Nature
- Published
- 2015-10
- Volume
- 526
- Issue
- 7573
- Pages
- 343-350
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W1896195310
- Cited by
- 904
- References
- 96
- FWCI
- 77.65
- Type
- journal article
- Language
- en
- Open access
- green
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Pharmacogenomics in the clinic. https://app.cochat.ai/papers/10.1038/nature15817
- The paper
- Relling, M. V., & Evans, W. E. (2015). Pharmacogenomics in the clinic. Nature. https://doi.org/10.1038/nature15817
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.