Butler-Laporte Guillaume, Kreuzer Devin, Nakanishi Tomoko, Harroud Adil, Forgetta Vincenzo, Richards J Brent
Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, Québec, Canada.
Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada.
Open Forum Infect Dis. 2020 Sep 24;7(11):ofaa450. doi: 10.1093/ofid/ofaa450. eCollection 2020 Nov.
Infectious diseases are causally related to a large array of noncommunicable diseases (NCDs). Identifying genetic determinants of infections and antibody-mediated immune responses may shed light on this relationship and provide therapeutic targets for drug and vaccine development.
We used the UK biobank cohort of up to 10 000 serological measurements of infectious diseases and genome-wide genotyping. We used data on 13 pathogens to define 46 phenotypes: 15 seropositivity case-control phenotypes and 31 quantitative antibody measurement phenotypes. For each of these, we performed genome-wide association studies (GWAS) using the fastGWA linear mixed model package and human leukocyte antigen (HLA) classical allele and amino acid residue associations analyses using Lasso regression for variable selection.
We included a total of 8735 individuals for case-control phenotypes, and an average (range) of 4286 (276-8555) samples per quantitative analysis. Fourteen of the GWAS yielded a genome-wide significant ( < 5 ×10) locus at the major histocompatibility complex (MHC) on chromosome 6. Outside the MHC, we found a total of 60 loci, multiple associated with Epstein-Barr virus (EBV)-related NCDs (eg, RASA3, MED12L, and IRF4). FUT2 was also identified as an important gene for polyomaviridae. HLA analysis highlighted the importance of DRB109:01, DQB102:01, DQA101:02, and DQA103:01 in EBV serologies and of DRB1*15:01 in polyomaviridae.
We have identified multiple genetic variants associated with antibody immune response to 13 infections, many of which are biologically plausible therapeutic or vaccine targets. This may help prioritize future research and drug development.
传染病与大量非传染性疾病(NCDs)存在因果关系。确定感染的遗传决定因素和抗体介导的免疫反应可能有助于阐明这种关系,并为药物和疫苗开发提供治疗靶点。
我们使用了英国生物银行队列,该队列对传染病进行了多达10000次血清学测量,并进行了全基因组基因分型。我们使用了13种病原体的数据来定义46种表型:15种血清阳性病例对照表型和31种定量抗体测量表型。对于每一种表型,我们使用fastGWA线性混合模型软件包进行全基因组关联研究(GWAS),并使用套索回归进行变量选择,以分析人类白细胞抗原(HLA)经典等位基因和氨基酸残基关联。
我们纳入了总共8735名个体用于病例对照表型分析,每次定量分析的样本平均(范围)为4286(276 - 8555)个。14项GWAS在6号染色体上的主要组织相容性复合体(MHC)处产生了全基因组显著(<5×10)位点。在MHC之外,我们总共发现了60个位点,其中多个与爱泼斯坦 - 巴尔病毒(EBV)相关的非传染性疾病(如RASA3、MED12L和IRF4)有关。FUT2也被确定为多瘤病毒科的一个重要基因。HLA分析突出了DRB109:01、DQB102:01、DQA101:02和DQA103:01在EBV血清学中的重要性,以及DRB1*15:01在多瘤病毒科中的重要性。
我们已经确定了多个与针对13种感染的抗体免疫反应相关的基因变异,其中许多在生物学上是合理的治疗或疫苗靶点。这可能有助于确定未来研究和药物开发的优先级。