Growth of HIV-1 Molecular Transmission Clusters in New York City.

ABSTRACT:

Background

HIV-1 genetic sequences can be used to infer viral transmission history and dynamics. Throughout the United States, HIV-1 sequences from drug resistance testing are reported to local public health departments.

Methods

We investigated whether inferred HIV transmission network dynamics can identify individuals and clusters of individuals most likely to give rise to future HIV cases in a surveillance setting. We used HIV-TRACE, a genetic distance-based clustering tool, to infer molecular transmission clusters from HIV-1 pro/RT sequences from 65736 people in the New York City surveillance registry. Logistic and LASSO regression analyses were used to identify correlates of clustering and cluster growth, respectively. We performed retrospective transmission network anal

SUBMITTER: Wertheim JO 

PROVIDER: S-EPMC6217720 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature