Influenza susceptibility marker as well as construction method and application of influenza high-risk population prediction model based on influenza susceptibility marker

• Main Authors: HAN JINGLIN, TANG KANG, ZENG JINFENG, CHEN YILIN, TANG JING, CHENG PEIWEN, LIN YISHAN, QIU ZEKAI, WEI JIE, DU XIANGJUN, WANG YIHAN
• Format: Patent
• Language: Chinese; English
• Published: 27.06.2023
• Subjects: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; PHYSICS

The invention discloses an influenza susceptibility marker as well as a construction method and application of an influenza high-risk group prediction model based on the influenza susceptibility marker. The influenza susceptibility marker is a combination of 'AMFR', 'HBQ1', 'DHRS9', 'SLC35E2A', 'BANK1', 'CD79A', 'TXNDC5', 'H2BC5' and 'PRKY'. The marker and the influenza risk prediction model established based on the marker are obtained based on data of a healthy adult baseline level transcriptome, can be used for screening influenza A H3N2 susceptible individuals in healthy adults, have the AUC of 0.94, the accuracy of 0.91, the precision of 1, the recall rate of 0.75 and the F1 score of 0.86, and have good accuracy. 本发明公开了流感易感标志物和基于该标志物的流感高危人群预测模型的构建方法与应用，该流感易感标志物为"AMFR"、"HBQ1"、"DHRS9"、"SLC35E2A"、"BANK1"、"CD79A"、"TXNDC5"、"H2BC5"和"PRKY"的组合。该标志物和基于其建立的流感风险预测模型是基于健康成年人基线水平转录组的数据得到的，能够用于筛选健康成年人中甲型流感H3N2易感个体，AUC为0.94、准确度为0.91、精确度为1、召回率为0.75、F1评分为0.86，具有较好的准确度。