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1 June 2005

Volume 191, Number 11
The Journal of Infectious Diseases 2005;191:1953–1960
0022-1899/2005/19111-0023$15.00
DOI: 10.1086/430005
MAJOR ARTICLE

Estimating HIV Evolutionary Pathways and the Genetic Barrier to Drug Resistance

Niko Beerenwinkel,1,a

Martin Däumer,2

Tobias Sing,1

Jörg Rahnenführer,1

Thomas Lengauer,1

Joachim Selbig,3

Daniel Hoffmann,4 and

Rolf Kaiser2

1Max Planck Institute for Informatics, Saarbrücken, 2Institute of Virology, University of Cologne, Cologne, 3Max Planck Institute of Molecular Plant Physiology, Golm, and 4Center of Advanced European Studies and Research, Bonn, Germany

Background.The evolution of drug‐resistant viruses challenges the management of human immunodeficiency virus (HIV) infections. Understanding this evolutionary process is important for the design of effective therapeutic strategies.

Methods.We used mutagenetic trees, a family of probabilistic graphical models, to describe the accumulation of resistance‐associated mutations in the viral genome. On the basis of these models, we defined the genetic barrier, a quantity that summarizes the difficulty for the virus to escape from the selective pressure of the drug by developing escape mutations.

Results.From HIV reverse‐transcriptase sequences that had been obtained from treated patients, we derived evolutionary models for zidovudine, zidovudine plus lamivudine, and zidovudine plus didanosine. The genetic barriers to resistance to zidovudine, stavudine, lamivudine, and didanosine, for the above 3 regimens, were computed and analyzed. We found both the mode and the rate of development of resistance to be heterogeneous. The genetic barrier to zidovudine resistance was increased if lamivudine was added to zidovudine but was decreased for didanosine. The barrier to lamivudine resistance was maintained with zidovudine plus didanosine, whereas the barrier to didanosine resistance was reduced most with zidovudine plus lamivudine.

Conclusion.Mutagenetic trees provide a quantitative picture of the evolution of drug resistance. The genetic barrier is a useful tool for design of effective treatment strategies.

Received 23 September 2004; accepted 3 January 2005; electronically published 28 April 2005.

Reprints or correspondence: Dr. Niko Beerenwinkel, Dept. of Mathematics, University of California at Berkeley, 898 Evans Hall, Berkeley, CA 94720‐3840 ().

Cited by

Thomas Lengauer, André Altmann, Alexander Thielen. (2009) Bioinformatische Unterstützung der Auswahl von HIV-Therapien. Informatik-Spektrum 32:4, 320-331
Online publication date: 1-Sep-2009.
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N. Beerenwinkel, S. Sullivant. (2009) Markov models for accumulating mutations. Biometrika
Online publication date: 5-Jul-2009.
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Edward M Gardner, William J Burman, John F Steiner, Peter L Anderson, David R Bangsberg. (2009) Antiretroviral medication adherence and the development of class-specific antiretroviral resistance. AIDS 23:9, 1035-1046
Online publication date: 1-Jul-2009.
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André Altmann, Martin Däumer, Niko Beerenwinkel, Yardena Peres, Eugen Schülter, Joachim Büch, Soo‐Yon Rhee, Anders Sönnerborg, W. Jeffrey Fessel, Robert W. Shafer, Maurizio Zazzi, Rolf Kaiser, and Thomas Lengauer. (2009) Predicting the Response to Combination Antiretroviral Therapy: Retrospective Validation of geno2pheno‐THEO on a Large Clinical Database. The Journal of Infectious Diseases 199:7, 999-1006
Online publication date: 1-Apr-2009.
J. Bogojeska, A. Alexa, A. Altmann, T. Lengauer, J. Rahnenfuhrer. (2008) Rtreemix: an R package for estimating evolutionary pathways and genetic progression scores. Bioinformatics 24:20, 2391-2392
Online publication date: 14-Sep-2008.
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Thomas Lengauer, Tobias Sing. (2006) Bioinformatics-assisted anti-HIV therapy. Nature Reviews Microbiology 4:10, 790-797
Online publication date: 1-Nov-2006.
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Frank Cordes, Rolf Kaiser, Joachim Selbig. (2006) Bioinformatics approach to predicting HIV drug resistance. Expert Review of Molecular Diagnostics 6:2, 207-215
Online publication date: 1-Apr-2006.
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David A. van de Vijver, Annemarie M. J. Wensing, Gioacchino Angarano, Birgitta ??sj??, Claudia Balotta, Enzo Boeri, Ricardo Camacho, Marie-Laure Chaix, Dominique Costagliola, Andrea De Luca, Inge Derdelinckx, Zehava Grossman, Osamah Hamouda, Angelos Hatzakis, Robert Hemmer, Andy Hoepelman, Andrzej Horban, Klaus Korn, Claudia K??cherer, Thomas Leitner, Clive Loveday, Eilidh MacRae, Irina Maljkovic, Carmen de Mendoza, Laurence Meyer, Claus Nielsen, Eline L. M. Op de Coul, Vidar Ormaasen, Dimitris Paraskevis, Luc Perrin, Elisabeth Puchhammer-St??ckl, Lidia Ruiz, Mika Salminen, Jean-Claude Schmit, Francois Schneider, Rob Schuurman, Vincent Soriano, Grzegorz Stanczak, Maja Stanojevic, Anne-Mieke Vandamme, Kristel Van Laethem, Michela Violin, Karin Wilbe, Sabine Yerly, Maurizio Zazzi, Charles A. B. Boucher. (2006) The Calculated Genetic Barrier for Antiretroviral Drug Resistance Substitutions Is Largely Similar for Different HIV-1 Subtypes. JAIDS Journal of Acquired Immune Deficiency Syndromes 41:3, 352-360
Online publication date: 1-Apr-2006.
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  • Presented in part: XII International HIV Drug Resistance Workshop, Los Cabos, Mexico, 10–14 June 2003 (abstract 97); XIII International HIV Drug Resistance Workshop, Teneriffe, Spain, 8–12 June 2004 (abstract 111).

    Financial support: Deutsche Forschungsgemeinschaft (grants HO 1582/1‐3, KA 1569/1‐3, and BE 3217/1‐1); German Federal Ministry of Education and Research (grant 031U117). The research at Max‐Planck Institute for Informatics was performed in the context of the EU Network of Excellence Biosapiens (EU grant LSHG‐CT‐2003‐503265).

  • Present affiliation: Department of Mathematics, University of California at Berkeley, Berkeley.

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