Identification of system-level features in HIV migration within a host.

ABSTRACT:

Objective

Identify system-level features in HIV migration within a host across body tissues. Evaluate heterogeneity in the presence and magnitude of these features across hosts.

Method

Using HIV DNA deep sequencing data generated across multiple tissues from 8 people with HIV, we represent the complex dependencies of HIV migration among tissues as a network and model these networks using the family of exponential random graph models (ERGMs). ERGMs allow for the statistical assessment of whether network features occur more (or less) frequently in viral migration than might be expected by chance. The analysis investigates five potential features of the viral migration network: (1) bi-directional flow between tissues; (2) preferential migration among tissues in the same biologi

SUBMITTER: Goyal R 

PROVIDER: S-EPMC10521982 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature