Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Original Article
  • Published:

Sequencing drug response with HapMap

Abstract

The information about how DNA sequence varies across the human genome is crucial for unravelling the genetic basis of drug response. A haplotype map, or HapMap, intended to reveal such a variation pattern, has been recently developed by the International HapMap Consortium. Here, we present a conceptual model for directly characterizing specific DNA sequence variants that are responsible for drug response based on the haplotype structure provided by HapMap. Our model is developed in the maximum likelihood context, incorporated by clinically meaningful mathematical functions that model drug response and implemented with the EM algorithm. Our model is employed to a pharmacogenetic study of cardiovascular disease with 107 patients. We found that the haplotype constituted by allele Gly16 (G) at codon 16 and allele Glu27 (G) at codon 27 genotyped within the β2AR candidate gene exhibits a different effect on heart rate curve from the rest haplotypes. Parents with the diplotype consisting of two copies of haplotype GG are more sensitive in heart rate to increasing dosages of dobutamine than those with other haplotypes. This model provides a powerful tool for elucidating the genetic variants of drug response and ultimately designing personalized medications based on each patient's genetic constitution.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1

Similar content being viewed by others

References

  1. Evans WE, Relling MV . Pharmacogenomics: translating functional genomics intorational therapeutics. Science 1999; 286: 487–491.

    Article  CAS  PubMed  Google Scholar 

  2. Roses AD . Pharmacogenetics and the practice of medicine. Nature 2000; 405: 857–865.

    Article  CAS  PubMed  Google Scholar 

  3. Evans WE, Johnson JA . Pharmacogenomics: the inherited basis for interindividual differences in drug response. Annu Rev Genomics Hum Genet 2001; 2: 9039.

    Article  Google Scholar 

  4. Evans WE, McLeod HL . Pharmacogenomics: drug disposition, drug targets, and side effects. N Engl J Med 2003; 348: 538–549.

    Article  CAS  PubMed  Google Scholar 

  5. Evans WE, Relling MV . Moving towards individulized medicine with pharmacogenomics. Nature 2004; 429: 464–468.

    Article  CAS  PubMed  Google Scholar 

  6. Freeman BD, McLeod HL . Challenges of implementing pharmacogenetics in the critical care environment. Nat Rev Drug Discov 2004; 3: 88–93.

    Article  CAS  PubMed  Google Scholar 

  7. Goldstein DB, Tate SK, Sisodiya SM . Pharmacogenetics goes genomic. Nat Rev Genet 2003; 4: 937–947.

    Article  CAS  PubMed  Google Scholar 

  8. Weinshilboum R . Inheritance and drug response. N Engl J Med 2003; 348: 529–537.

    Article  PubMed  Google Scholar 

  9. Lynch M, Walsh B . Genetics and Analysis of Quantitative Traits. Sinauer: Sunderland, MA, 1998.

  10. Wu RL, Casella G . Statistical Genetics of Complex Traits: A Quantitative Trait Loci Perspective. Springer: New York, 2005 (in press).

    Google Scholar 

  11. The International HapMap Consortium. The International HapMap Project. Nature 2003; 426: 789–794.

  12. Deloukas P, Bentley D . The HapMap project and its application to genetic studies of drug response. Pharmacogenomics J 2004; 4: 88–90.

    Article  CAS  PubMed  Google Scholar 

  13. The International HapMap Consortium. Integrating ethics and science in the International HapMap Project. Nat Rev Genet 2004; 5: 467–475.

  14. Liu T, Johnson JA, Casella G, Wu RL . Sequencing complex diseases with HapMap. Genetics 2004; 168: 503–511.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  15. Gong Y, Wang ZH, Liu T, Zhao W, Zhu Y, Johnson JA et al. A statistical model for functional mapping of quantitative trait loci regulating drug response. Pharmacogenomics J 2004; 4: 315–321.

    Article  CAS  PubMed  Google Scholar 

  16. Dawson E, Abecasis GR, Bumpstead S, Chen Y, Hunt S, Beare DM et al. A first-generation linkage disequilibrium map of human chromosome 22. Nature 2002; 418: 544–548.

    Article  CAS  PubMed  Google Scholar 

  17. Patil N, Berno AJ, Hinds DA, Barrett WA, Doshi JM, Hacker CR et al. Blocks of limited haplotype diversity revealed by high-resolution scanning of human chromosome 21. Science 2001; 294: 1719–1723.

    Article  CAS  PubMed  Google Scholar 

  18. Gabriel SB, Schaffner SF, Nguyen H, Moore JM, Roy J, Blumenstiel B et al. The structure of haplotype blocks in the human genome. Science 2002; 296: 2225–2229.

    Article  CAS  PubMed  Google Scholar 

  19. Lou X-Y, Casella G, Littell RC, Yang MKC, Johnson JA, Wu RL . A haplotype-based algorithm for multilocus linkage disequilibrium mapping of quantitative trait loci with epistasis in natural populations. Genetics 2003; 163: 1533–1548.

    PubMed  PubMed Central  CAS  Google Scholar 

  20. Giraldo J . Empirical models and Hill coefficients. Trends Pharmacol Sci 2003; 24: 63–65.

    Article  CAS  PubMed  Google Scholar 

  21. Zhao W, Wu RL, Ma C-X, Casella G . A fast algorithm for functional mapping of complex traits. Genetics 2004; 167: 2133–2137.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  22. Louis TA . Finding the observed information matrix when using the EM algorithm. J R Stat Soc B 1982; 44: 226–233.

    Google Scholar 

  23. Ranade K, Jorgenson E, Sheu WH, Pei D, Hsiung CA, Chiang F et al. A polymorphism in the beta1 adrenergic receptor is associated with resting heart rate. Am J Hum Genet 2002; 70: 935–942.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  24. Nabel EG . Cardiovascular disease. N Engl J Med 2003; 349: 60–72.

    Article  CAS  PubMed  Google Scholar 

  25. Johnson JA, Terra SG . β-Adrenergic receptor polymorphisms: cardiovascular disease associations and pharmacogenetics. Pharm Res 2002; 19: 1779–1787.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

This work is supported by an Outstanding Young Investigator Award of the National Natural Science Foundation of China (30128017), a University of Florida Research Opportunity Fund (02050259) and a University of South Florida Biodefense grant (7222061-12) to R W. The publication of this manuscript was approved as Journal Series No. R-10575 by the Florida Agricultural Experiment Station.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to R Wu.

Additional information

DUALITY OF INTEREST

None declared.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Lin, M., Aquilante, C., Johnson, J. et al. Sequencing drug response with HapMap. Pharmacogenomics J 5, 149–156 (2005). https://doi.org/10.1038/sj.tpj.6500302

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/sj.tpj.6500302

Keywords

This article is cited by

Search

Quick links