FluOMICS

The FluOMICS project is to generate predictive models of influenza virus pathogenesis, leveraging previous collaborations that generated global datasets and models that predict the severity of disease caused by three influenza virus strains with different levels of virulence. This case-control study of patients diagnosed with severe and mild influenza virus disease evaluates associations between potential molecular regulators of the host response and determinants of disease outcome. ]]>
Inclusion Criteria - An eMERGE subject will be eligible for inclusion in this study only if all of the following criteria apply: Written informed consent Males or females, aged 0 to 90 Patients who have had a PCR-based assay or viral culture positive for influenza A Exclusion Criteria - A subject will be excluded if immune compromised due to topical and ophthalmic preparations for medications.]]>

FluOMICS项目旨在构建流感病毒致病机制预测模型，依托既往合作产生的全球数据集与预测模型，可针对三种不同毒力等级的流感病毒毒株所致疾病的严重程度进行预测。本项针对确诊为重症与轻症流感患者的病例对照研究，旨在探究宿主应答的潜在分子调控因子与疾病转归决定因素之间的关联。
纳入标准：仅当满足以下全部条件时，eMERGE研究对象方可纳入本研究：已签署书面知情同意书；为年龄0至90岁的男性或女性；经基于聚合酶链式反应（PCR）的检测或病毒培养证实为甲型流感病毒阳性的受试者。
排除标准：若受试者因外用及眼用药物制剂导致免疫功能受损，则将其排除出本研究。