Moving towards individualized medicine with pharmacogenomics
By William E. Evans, Mary V. Relling. Nature, 2004
776 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Genetics, Pharmacology
View Paper: https://www.semanticscholar.org/paper/3f04a10e45d357dd97692b7f96b5da045a28a376
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
- Magnus Ingelman-Sundberg
- M. Eichelbaum
- Douglas B. Kell
- William E. Evans
- David Broadhurst
- Robert Powers
- Bradley Worley
In Genetics
In Pharmacology
- M. Eichelbaum
- Magnus Ingelman-Sundberg
- William E. Evans
- Douglas B. Kell
- David Broadhurst
- Shufeng Zhou
Citations in the corpus
- Nanotechnology applications in cancer. (2007, background): “For applications in individualized therapy, biomarkers enable the characterization of patient populations and quantification of the extent to which new drugs reach their intended targets (41, 42).”
- Pharmacogenomics and individualized drug therapy. (2006, methodology): “, receptors) are known to exhibit genetic polymorphisms that influence drug response in humans (1, 2, 99).”
- Statistical strategies for avoiding false discoveries in metabolomics and related experiments (2007, background): “Note that this has nothing to do with the real stratification or differences in populations that are, for example, the focus of pharmacogenomics (Evans and Johnson, 2001; Evans and Relling, 1999, 2004) and analyses designed to reduce confounder effects (Rothman and Greenland, 1998).”
- Pharmacogenomics in the clinic (2015, neutral): “EML–ALK (SV) inv(2)(p21p23) ALK Crizotinib NSCLC”