{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Patel CJ"],"funding":["NIEHS NIH HHS","NIAID NIH HHS","NIMHD NIH HHS","NHGRI NIH HHS"],"pagination":["933-943"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC5869155"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["32(7)"],"pubmed_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"],"journal":["AIDS (London, England)"],"pubmed_title":["Systematic identification of correlates of HIV infection: an X-wide association study."],"pmcid":["PMC5869155"],"funding_grant_id":["R21 ES025052","R00 ES023504","U54 HG007963","U54 MD010724","R01 AI127250"],"pubmed_authors":["Patel CJ","Ioannidis JPA","Bendavid E","Bhattacharya J"],"additional_accession":[]},"is_claimable":false,"name":"Systematic identification of correlates of HIV infection: an X-wide association study.","description":"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","dates":{"release":"2018-01-01T00:00:00Z","publication":"2018 Apr","modification":"2025-05-29T20:24:21.455Z","creation":"2019-03-26T23:33:36Z"},"accession":"S-EPMC5869155","cross_references":{"pubmed":["29424772"],"doi":["10.1097/QAD.0000000000001767"]}}