Systematic identification of correlates of HIV infection: an X-wide association study.

ABSTRACT: OBJECTIVE:Better identification of at-risk groups could benefit HIV-1 care programmes. We systematically identified HIV-1 risk factors in two nationally representative cohorts of women in the Demographic and Health Surveys. METHODS:We identified and replicated the association of 1415 social, economic, environmental, and behavioral factors with HIV-1 status. We used the 2007 and 2013-2014 surveys conducted among 5715 and 15 433 Zambian women, respectively (688 shared factors). We used false discovery rate criteria to identify factors that are strongly associated with HIV-1 in univariate and multivariate models of the entire population, as well as in subgroups stratified by wealth, residence, age, and past HIV-1 testing. RESULTS:In the univariate analysis, we identified 102 and 182 variables

SUBMITTER: Patel CJ 

PROVIDER: S-EPMC5869155 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature