Using group testing in a two-phase epidemiologic design to identify the effects of a large number of antibody reactions on disease risk

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dc.contributor.authorMehta, Tanvi
dc.contributor.authorMalinovsky, Yaakov
dc.contributor.authorAbnet, Christian C.
dc.contributor.authorAlbert, Paul S.
dc.date.accessioned2023-01-06T20:48:11Z
dc.date.available2023-01-06T20:48:11Z
dc.date.issued2022-12-16
dc.description.abstractBackground: The role of immunological responses to exposed bacteria on disease incidence is increasingly under investigation. With many bacterial species, and many potential antibody reactions to a particular species, the large number of assays required for this type of discovery can make it prohibitively expensive. We propose a two-phase group testing design to more efciently screen numerous antibody efects in a case-control setting. Methods: Phase 1 uses group testing to select antibodies that are diferentially expressed between cases and controls. The selected antibodies go on to Phase 2 individual testing. Results: We evaluate the two-phase group testing design through simulations and example data and fnd that it substantially reduces the number of assays required relative to standard case-control and group testing designs, while maintaining similar statistical properties. Conclusion: The proposed two-phase group testing design can dramatically reduce the number of assays required, while providing comparable results to a case-control design. Keywords: Case-control studies, Epidemiologic design, Group Testing, Prevalence estimationen_US
dc.description.sponsorshipFunding Open Access funding provided by the National Institutes of Health (NIH). This research was supported through the Intramural Program at the National Cancer Institute.en_US
dc.description.urihttps://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-022-01798-0en_US
dc.format.extent9 pagesen_US
dc.genrejournal articlesen_US
dc.identifierdoi:10.13016/m2az2a-prnm
dc.identifier.citationMehta, T., Malinovsky, Y., Abnet, C.C. et al. Using group testing in a two-phase epidemiologic design to identify the effects of a large number of antibody reactions on disease risk. BMC Med Res Methodol 22, 324 (2022). https://doi.org/10.1186/s12874-022-01798-0en_US
dc.identifier.urihttps://doi.org/10.1186/s12874-022-01798-0
dc.identifier.urihttp://hdl.handle.net/11603/26595
dc.language.isoen_USen_US
dc.publisherSpringer Natureen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Mathematics Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.en_US
dc.rightsPublic Domain Mark 1.0*
dc.rights.urihttp://creativecommons.org/publicdomain/mark/1.0/*
dc.titleUsing group testing in a two-phase epidemiologic design to identify the effects of a large number of antibody reactions on disease risken_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0003-2888-674Xen_US

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