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Updated: Sep 5, 2025

Genotypic Inference of HIV-1 Tropism Using Population-based Sequencing of V3
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Variational Phylodynamic Inference Using Pandemic-scale Data.

Caleb Ki1, Jonathan Terhorst1

  • 1Department of Statistics, University of Michigan, Ann Arbor, MI, USA.

Molecular Biology and Evolution
|July 11, 2022
PubMed
Summary

Researchers developed a new tool, variational Bayesian skyline (VBSKY), to analyze large pathogen genetic datasets quickly. This method improves epidemiological surveillance and contact tracing during pandemics by providing accurate real-time estimates.

Keywords:
birth-death modelpandemic-scalephylodynamicsphylogenetics

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Area of Science:

  • Epidemiology
  • Genomics
  • Computational Biology

Background:

  • The COVID-19 pandemic generated vast amounts of pathogen genetic data.
  • Existing analysis tools struggle to process pandemic-scale datasets, hindering public health efforts.
  • There is a need for efficient methods to analyze large genetic datasets for improved disease surveillance.

Purpose of the Study:

  • To develop a scalable method for fitting Bayesian phylodynamic models to large pathogen genetic datasets.
  • To enable rapid analysis of thousands of genomes for real-time epidemiological insights.
  • To provide accurate estimates of key epidemiological parameters.

Main Methods:

  • Developed the variational Bayesian skyline (VBSKY) method.
  • Combined advances in phylodynamic modeling, scalable Bayesian inference, and differentiable programming.
  • Incorporated tailored heuristics for efficient computation on large datasets.

Main Results:

  • VBSKY can analyze thousands of pathogen genomes in minutes.
  • The method provides accurate estimates of the effective reproduction number and sampling effort over time.
  • Analysis of SARS-CoV-2 genomes demonstrated VBSKY's utility and accuracy.

Conclusions:

  • VBSKY is an effective tool for analyzing large-scale pathogen genetic data.
  • The method facilitates improved real-time disease surveillance and contact tracing.
  • VBSKY's estimates closely align with traditional public health data sources.