biostudies-literaturePatel CJNIEHS NIH HHSNIAID NIH HHSNIMHD NIH HHSNHGRI NIH HHS933-943https://www.ebi.ac.uk/biostudies/studies/S-EPMC5869155biostudies-literatureUnknown32(7)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 variablesAIDS (London, England)Systematic identification of correlates of HIV infection: an X-wide association study.PMC5869155R21 ES025052R00 ES023504U54 HG007963U54 MD010724R01 AI127250Patel CJIoannidis JPABendavid EBhattacharya JfalseSystematic identification of correlates of HIV infection: an X-wide association study.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 variables2018-01-01T00:00:00Z2018 Apr2025-05-29T20:24:21.455Z2019-03-26T23:33:36ZS-EPMC58691552942477210.1097/QAD.0000000000001767