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Identification of host–pathogen-disease relationships using a scalable multiplex serology platform in UK Biobank

Author

Listed:
  • Alexander J. Mentzer

    (University of Oxford
    University of Oxford)

  • Nicole Brenner

    (German Cancer Research Center (DKFZ))

  • Naomi Allen

    (University of Oxford
    UK Biobank
    University of Oxford)

  • Thomas J. Littlejohns

    (University of Oxford
    University of Oxford)

  • Amanda Y. Chong

    (University of Oxford)

  • Adrian Cortes

    (University of Oxford)

  • Rachael Almond

    (UK Biobank)

  • Michael Hill

    (University of Oxford
    University of Oxford)

  • Simon Sheard

    (UK Biobank)

  • Gil McVean

    (University of Oxford)

  • Rory Collins

    (UK Biobank
    University of Oxford)

  • Adrian V. S. Hill

    (University of Oxford
    University of Oxford)

  • Tim Waterboer

    (German Cancer Research Center (DKFZ))

Abstract

Certain infectious agents are recognised causes of cancer and other chronic diseases. To understand the pathological mechanisms underlying such relationships, here we design a Multiplex Serology platform to measure quantitative antibody responses against 45 antigens from 20 infectious agents including human herpes, hepatitis, polyoma, papilloma, and retroviruses, as well as Chlamydia trachomatis, Helicobacter pylori and Toxoplasma gondii, then assayed a random subset of 9695 UK Biobank participants. We find seroprevalence estimates consistent with those expected from prior literature and confirm multiple associations of antibody responses with sociodemographic characteristics (e.g., lifetime sexual partners with C. trachomatis), HLA genetic variants (rs6927022 with Epstein-Barr virus (EBV) EBNA1 antibodies) and disease outcomes (human papillomavirus-16 seropositivity with cervical intraepithelial neoplasia, and EBV responses with multiple sclerosis). Our accessible dataset is one of the largest incorporating diverse infectious agents in a prospective UK cohort offering opportunities to improve our understanding of host-pathogen-disease relationships with significant clinical and public health implications.

Suggested Citation

  • Alexander J. Mentzer & Nicole Brenner & Naomi Allen & Thomas J. Littlejohns & Amanda Y. Chong & Adrian Cortes & Rachael Almond & Michael Hill & Simon Sheard & Gil McVean & Rory Collins & Adrian V. S. , 2022. "Identification of host–pathogen-disease relationships using a scalable multiplex serology platform in UK Biobank," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-29307-3
    DOI: 10.1038/s41467-022-29307-3
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    References listed on IDEAS

    as
    1. Clare Bycroft & Colin Freeman & Desislava Petkova & Gavin Band & Lloyd T. Elliott & Kevin Sharp & Allan Motyer & Damjan Vukcevic & Olivier Delaneau & Jared O’Connell & Adrian Cortes & Samantha Welsh &, 2018. "The UK Biobank resource with deep phenotyping and genomic data," Nature, Nature, vol. 562(7726), pages 203-209, October.
    2. Yahya H Almohmeed & Alison Avenell & Lorna Aucott & Mark A Vickers, 2013. "Systematic Review and Meta-Analysis of the Sero-Epidemiological Association between Epstein Barr Virus and Multiple Sclerosis," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-15, April.
    3. Jennifer Beam Dowd & Tia Palermo & Jennifer Brite & Thomas W McDade & Allison Aiello, 2013. "Seroprevalence of Epstein-Barr Virus Infection in U.S. Children Ages 6-19, 2003-2010," PLOS ONE, Public Library of Science, vol. 8(5), pages 1-7, May.
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