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HLA and HIV Infection Progression: Application of the Minimum Description Length Principle to Statistical Genetics

  • Peter T. Hraber
  • Bette T. Korber
  • Steven Wolinsky
  • Henry A. Erlich
  • Elizabeth A. Trachtenberg
  • Thomas B. Kepler
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4345)

Abstract

The minimum description length (MDL) principle was developed in the context of computational complexity and coding theory. It states that the best model to account for some data minimizes the sum of the lengths, in bits, of the descriptions of the model and the data as encoded via the model. The MDL principle gives a criterion for parameter selection, by using the description length as a test statistic. Class I HLA genes play a major role in the immune response to HIV, and are known to be associated with rates of progression to AIDS. However, these genes are extremely polymorphic, making it difficult to associate alleles with disease outcome, given statistical issues of multiple testing. Application of the MDL principle to immunogenetic data from a longitudinal cohort study (Chicago MACS) enables classification of alleles associated with plasma HIV RNA abundance, an indicator of infection progression. Variation in progression is strongly associated with HLA-B. Allele associations with viral levels support and extend previous studies. In particular, individuals without B58s supertype alleles average viral RNA levels 3.6 times greater than individuals with them. Mechanisms for these associations include variation in epitope specificity and selection that favors rare alleles.

Keywords

Human Leukocyte Antigen Minimum Description Length Human Leukocyte Antigen Allele Human Leukocyte Antigen Gene Human Leukocyte Antigen Molecule 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Peter T. Hraber
    • 1
    • 2
  • Bette T. Korber
    • 1
    • 2
  • Steven Wolinsky
    • 3
  • Henry A. Erlich
    • 4
  • Elizabeth A. Trachtenberg
    • 5
  • Thomas B. Kepler
    • 6
  1. 1.Santa Fe InstituteSanta FeUSA
  2. 2.Los Alamos National LaboratoryLos AlamosUSA
  3. 3.Feinberg School of MedicineNorthwestern UniversityChicagoUSA
  4. 4.Roche Molecular SystemsAlamedaUSA
  5. 5.Children’s Hospital Oakland Research InstituteOaklandUSA
  6. 6.Department of Biostatistics and Bioinformatics, Duke University Medical CenterDuke UniversityDurhamUSA

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