Abstract:
:To prevent new infections with human immunodeficiency virus type 1 (HIV-1) in sub-Saharan Africa, UNAIDS recommends targeting interventions to populations that are at high risk of acquiring and passing on the virus. Yet it is often unclear who and where these 'source' populations are. Here we demonstrate how viral deep-sequencing can be used to reconstruct HIV-1 transmission networks and to infer the direction of transmission in these networks. We are able to deep-sequence virus from a large population-based sample of infected individuals in Rakai District, Uganda, reconstruct partial transmission networks, and infer the direction of transmission within them at an estimated error rate of 16.3% [8.8-28.3%]. With this error rate, deep-sequence phylogenetics cannot be used against individuals in legal contexts, but is sufficiently low for population-level inferences into the sources of epidemic spread. The technique presents new opportunities for characterizing source populations and for targeting of HIV-1 prevention interventions in Africa.
journal_name
Nat Communjournal_title
Nature communicationsauthors
Ratmann O,Grabowski MK,Hall M,Golubchik T,Wymant C,Abeler-Dörner L,Bonsall D,Hoppe A,Brown AL,de Oliveira T,Gall A,Kellam P,Pillay D,Kagaayi J,Kigozi G,Quinn TC,Wawer MJ,Laeyendecker O,Serwadda D,Gray RH,Fraser Cdoi
10.1038/s41467-019-09139-4subject
Has Abstractpub_date
2019-03-29 00:00:00pages
1411issue
1issn
2041-1723pii
10.1038/s41467-019-09139-4journal_volume
10pub_type
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