A new study identifies 'quantitative trait transcripts' for nicotine resistance in large populations of wild strains of Drosophila melanogaster by comparing global gene expression patterns, survival time and metabolite levels in the presence or absence of nicotine. The results provide proof-of-concept for a correlation-based statistical approach that can be used in personalized medicine.
This is a preview of subscription content, access via your institution
Access options
Subscribe to this journal
Receive 12 print issues and online access
$209.00 per year
only $17.42 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
References
Bennett, B., Carosone-Link, P., Zahniser, N.R. & Johnson, T.E. J. Pharmacol. Exp. Ther. 319, 299–307 (2006).
Broman, K.W. Nat. Genet. 37, 209–210 (2005).
Curtsinger, J.W. Nat. Genet. 34, 358–359 (2003).
Passador-Gurgel, G., Hsieh, W.-P., Hunt, P., Deighton, N. & Gibson, G. Nat. Genet. 39, 264–268 (2007).
Seiler, N. Curr. Drug Targets 1, 119–153 (2000).
Haselden, J.N. & Nicholls, A.W. Nat. Med. 12, 510–511 (2006).
Singer, E. Nat. Med. 11, 462 (2005).
Guttmacher, A.E. & Collins, F.S. J. Am. Med. Assoc. 294, 1399–1402 (2005).
Author information
Authors and Affiliations
Ethics declarations
Competing interests
The author declares no competing financial interests.
Rights and permissions
About this article
Cite this article
Ruden, D. Personalized medicine and quantitative trait transcripts. Nat Genet 39, 144–145 (2007). https://doi.org/10.1038/ng0207-144
Issue Date:
DOI: https://doi.org/10.1038/ng0207-144
