Santa Fe Institute, 1399 Hyde Park Road,
Santa Fe, New Mexico 87501, United States
title: Immunogenetics and
variation in HIV progression: An application of the MDL
principle
An application of computational
complexity and coding theory, the minimum description length (MDL)
principle states that the best hypothesis to account for some data is
that which minimizes the sum of the lengths (in bits) of the
description of the hypothesis and the data encoded via the
hypothesis. It provides several advantages for statistical model
selection, which are demonstrated with genotype data of class i and
ii major histocompatibility complex (MHC) alleles and two indices of
disease progression, viral load and CD4 cell counts, from a long-term
HIV cohort study (Chicago MACS). Variation in viral load and CD4 cell
counts is clearly associated with the MHC locus HLAB. Optimum
groupings of HLAB allele supertypes associated with high, medium, and
low viral load levels compare favorably with previous studies.
Candidate mechanisms underlying the association include allelic
variation in antigen binding specifity and frequency-dependent
selection for rare HLAB alleles.
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