Identification of host-pathogen-disease relationships using a scalable multiplex serology platform in UK Biobank.
Identification of host-pathogen-disease relationships using a scalable multiplex serology platform in UK Biobank.
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在英国生物银行使用可扩展的多重血清学平台鉴定宿主-病原体-疾病关系。
DOI:
10.1038/s41467-022-29307-3
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发表时间:
2022-04-05
影响因子:
16.6
通讯作者:
Waterboer T
中科院分区:
文献类型:
--
作者:
Mentzer AJ;Brenner N;Allen N;Littlejohns TJ;Chong AY;Cortes A;Almond R;Hill M;Sheard S;McVean G;UKB Infection Advisory Board;Collins R;Hill AVS;Waterboer T
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. Here, the authors design a multiplex serology platform to quantitatively measure antibodies against 20 infectious agents in UK Biobank participants and confirm associations of antibody responses with sociodemographic characteristics, HLA genetic variants, and disease outcomes.
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影响因子:
64.8
作者:
Bycroft C;Freeman C;Petkova D;Band G;Elliott LT;Sharp K;Motyer A;Vukcevic D;Delaneau O;O'Connell J;Cortes A;Welsh S;Young A;Effingham M;McVean G;Leslie S;Allen N;Donnelly P;Marchini J
通讯作者:
Marchini J
影响因子:
3.8
作者:
Dondog, Bolormaa;Schnitzler, Paul;Waterboer, Tim
通讯作者:
Waterboer, Tim
影响因子:
51.1
作者:
Cogliano, V;Baan, R;El Ghissassi, F
通讯作者:
El Ghissassi, F
影响因子:
3.7
作者:
Brenner, Nicole;Mentzer, Alexander J.;Waterboer, Tim
通讯作者:
Waterboer, Tim
影响因子:
5.5
作者:
Aebi, C;Fischer, K;Mühlemann, K
通讯作者:
Mühlemann, K