The role of migration and domestic transmission in the spread of HIV-1 non-B subtypes in Switzerland

J Infect Dis. 2011 Oct 1;204(7):1095-103. doi: 10.1093/infdis/jir491.

Abstract

Background: By analyzing human immunodeficiency virus type 1 (HIV-1) pol sequences from the Swiss HIV Cohort Study (SHCS), we explored whether the prevalence of non-B subtypes reflects domestic transmission or migration patterns.

Methods: Swiss non-B sequences and sequences collected abroad were pooled to construct maximum likelihood trees, which were analyzed for Swiss-specific subepidemics, (subtrees including ≥80% Swiss sequences, bootstrap >70%; macroscale analysis) or evidence for domestic transmission (sequence pairs with genetic distance <1.5%, bootstrap ≥98%; microscale analysis).

Results: Of 8287 SHCS participants, 1732 (21%) were infected with non-B subtypes, of which A (n = 328), C (n = 272), CRF01_AE (n = 258), and CRF02_AG (n = 285) were studied further. The macroscale analysis revealed that 21% (A), 16% (C), 24% (CRF01_AE), and 28% (CRF02_AG) belonged to Swiss-specific subepidemics. The microscale analysis identified 26 possible transmission pairs: 3 (12%) including only homosexual Swiss men of white ethnicity; 3 (12%) including homosexual white men from Switzerland and partners from foreign countries; and 10 (38%) involving heterosexual white Swiss men and females of different nationality and predominantly nonwhite ethnicity.

Conclusions: Of all non-B infections diagnosed in Switzerland, <25% could be prevented by domestic interventions. Awareness should be raised among immigrants and Swiss individuals with partners from high prevalence countries to contain the spread of non-B subtypes.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Asian People / statistics & numerical data
  • Black People / statistics & numerical data
  • Cluster Analysis
  • Emigration and Immigration*
  • Female
  • Gene Products, pol / metabolism
  • HIV Infections / ethnology*
  • HIV Infections / genetics
  • HIV Infections / transmission*
  • HIV-1 / genetics*
  • HIV-1 / metabolism
  • Heterosexuality / statistics & numerical data
  • Homosexuality, Male / statistics & numerical data
  • Humans
  • Likelihood Functions
  • Logistic Models
  • Male
  • Molecular Sequence Data
  • Prevalence
  • Switzerland / epidemiology
  • White People / statistics & numerical data

Substances

  • Gene Products, pol

Associated data

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