Genetic Cluster Analysis for HIV Prevention

Mary Kate Grabowski, Joshua T. Herbeck, Art F.Y. Poon

Research output: Contribution to journalReview articlepeer-review

18 Scopus citations


Purpose of Review: This review summarizes the use of genetic similarity clusters to understand HIV transmission and inform prevention efforts. Recent Findings: Recent emphases include the development of real-time cluster identification in order to interrupt transmission chains, the use of clusters to estimate rates of transmission along the HIV care cascade, and the extension of cluster analyses to understand transmission in the generalized epidemics of sub-Saharan Africa. Importantly, this recent empirical work has been accompanied by theoretical work that elucidates the processes that underlie HIV genetic similarity clusters; multiple studies suggest that clusters are not necessarily enriched with individuals with high transmission rates, but rather can reflect variation in sampling times within a population, with individuals sampled early in infection more likely to cluster. Summary: Analyses of genetic similarity clusters have great promise to inform HIV epidemiology and prevention. Future emphases should include the collection of additional sequence data from underrepresented populations, such as those in sub-Saharan Africa, and further development and evaluation of clustering methods.

Original languageEnglish (US)
Pages (from-to)182-189
Number of pages8
JournalCurrent HIV/AIDS reports
Issue number2
StatePublished - Apr 1 2018


  • Cluster identification
  • Genetic similarity clusters
  • HIV
  • HIV epidemiology
  • Prevention

ASJC Scopus subject areas

  • Virology
  • Infectious Diseases


Dive into the research topics of 'Genetic Cluster Analysis for HIV Prevention'. Together they form a unique fingerprint.

Cite this