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Cancer Epidemiology, Biomarkers & Prevention
Cancer Epidemiology, Biomarkers & Prevention

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Research Article

The association between the comprehensive Epstein-Barr virus serological profile and endemic Burkitt lymphoma

Anna E Coghill, Carla Proietti, Zhiwei Liu, Lutz Krause, Jeffrey Bethony, Ludmila Prokunina-Olsson, Adeola Obajemu, Francis Nkrumah, Robert J. Biggar, Kishor Bhatia, Allan Hildesheim, Denise L Doolan and Sam M Mbulaiteye
Anna E Coghill
Cancer Epidemiology, Moffitt Cancer Center
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  • For correspondence: anna.coghill@moffitt.org
Carla Proietti
Australian Institute of Tropical Health and Medicine, James Cook University
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Zhiwei Liu
Division of Cancer Epidemiology and Genetics, National Cancer Institute
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  • ORCID record for Zhiwei Liu
Lutz Krause
Medical Genomics Devision, University of Queensland Diamantina Institute
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Jeffrey Bethony
Department of Microbiology, Immunology and Tropical Medicine, George Washington University
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Ludmila Prokunina-Olsson
Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Institutes of Health
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  • ORCID record for Ludmila Prokunina-Olsson
Adeola Obajemu
Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Institutes of Health
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Francis Nkrumah
Noguchi Memorial Institute for Medical Research
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Robert J. Biggar
Division of Cancer Epidemiology and Genetics, National Cancer Institute
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Kishor Bhatia
Division of Cancer Epidemiology and Genetics, National Cancer Institute
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Allan Hildesheim
Division of Cancer Epidemiology and Genetics, National Cancer Institute
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Denise L Doolan
Australian Institute of Tropical Health and Medicine, James Cook University
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Sam M Mbulaiteye
Division of Cancer Epidemiology and Genetics, National Cancer Institute
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DOI: 10.1158/1055-9965.EPI-19-0551
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    • Supplementary Table 1 - Supplemental Table 1. Odds ratios (OR) and 95% confidence intervals (CI) for the association between anti-EBV IgG antibody and Burkitt lymphoma (BL) status, stratified by HRPII malaria antibody level.
    • Supplementary Figures 1-3s - Supplemental Figure 1. From left to right, five OR's (95%CI) are presented for each of the ten anti-EBV IgG antibodies from the array with the strongest BL associations, in the following order: (1)original OR, (2)adjusted for SE36, (3)adjusted for HRPII, (4)adjusted for SE0203, and (5)adjusted for 6NANP. Supplemental Figure 2. From left to right, two OR's (95%CI) are presented for each of the ten anti-EBV IgG antibodies from the array with the strongest BL associations, in the following order: (1)original OR, (2)adjusted for the sickle cell disease variant. Supplemental Figure 3. Each bar on the x-axis represents one probe on the array (i.e., one EBV protein), grouped according to viral life cycle. The y-axis notes the number of children with a positive IgA response to that given protein. We observed IgA reactions to proteins across the viral life cycle, but these response patterns did not differ by BL status.
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Published OnlineFirst October 16, 2019
doi: 10.1158/1055-9965.EPI-19-0551

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The association between the comprehensive Epstein-Barr virus serological profile and endemic Burkitt lymphoma
Anna E Coghill, Carla Proietti, Zhiwei Liu, Lutz Krause, Jeffrey Bethony, Ludmila Prokunina-Olsson, Adeola Obajemu, Francis Nkrumah, Robert J. Biggar, Kishor Bhatia, Allan Hildesheim, Denise L Doolan and Sam M Mbulaiteye
Cancer Epidemiol Biomarkers Prev October 16 2019 DOI: 10.1158/1055-9965.EPI-19-0551

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The association between the comprehensive Epstein-Barr virus serological profile and endemic Burkitt lymphoma
Anna E Coghill, Carla Proietti, Zhiwei Liu, Lutz Krause, Jeffrey Bethony, Ludmila Prokunina-Olsson, Adeola Obajemu, Francis Nkrumah, Robert J. Biggar, Kishor Bhatia, Allan Hildesheim, Denise L Doolan and Sam M Mbulaiteye
Cancer Epidemiol Biomarkers Prev October 16 2019 DOI: 10.1158/1055-9965.EPI-19-0551
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Cancer Epidemiology, Biomarkers & Prevention
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