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AIM: In order to bridge the gap between pharmacogenomic research and its clinical application, we propose the concept of genetic electronic identity, named "GeneFace", and developed an electronic information system which integrated "drug-gene" interactions and recommendations for personalized medicine. METHODS: Based on the self-developed Precision Medicine knowledgebase, which concludes drug directions, guidelines or important literatures with high level of evidence, we developed GeneFace with Java-based open-resource application framework Spring Boot, further developed a mobile App with cross-platform framework Uni-APP. RESULTS: The App includes six modules: genetic testing appointment, genetic knowledge introduction, individualized medication advice, medication records, Geneface interpretation, and Precision Medicine knowledgebase. By detecting the genotype of more than 300 gene loci upon first use, users import the results to form a personal "drug-gene identity card". Then scan or enter the drug name in "GeneFace", the App would automatically give corresponding medication recommendations, including: risks for possible adverse drug reactions, risks for reducing the efficacy or even ineffectiveness, and possibility for dose adjustment, etc., which increase the safety of clinical drug use. People can obtain pharmacogenomics knowledge and basic drug information in the "GeneFace" app. CONCLUSION: Development as a digital therapeutic product, the expanded application of GeneFace can rapidly promote clinical applications of basic pharmacogenomics research and significantly improve drug use safety, which creating a new model for accelerating the clinical application of personalized medicine.
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Objective:To determine the correlations of single nucleotide polymorphisms (SNPs) with atrial fibrillation (AF) in the Chinese Han population from the central plains.Methods:A total of 168 hospitalized patients,including 56 AF and 112 controls,were recruited in this case-control study.The clinical data were obtained from the medical records.All 5 SNPs,rs337711 in KCNN2,rs11264280 near KCNN3,rs17042171 near PITX2,rs6771157 and rs6795970 in SCN10A,were genotyped using amplification refractory mutation system-polymerase chain reaction or direct sequencing.The x2 test was used to compare categorical variables and preliminarily examine correlations between the genotype frequencies and AF.Subsequently,a logistic regression model was constructed to determine the associations between the SNPs and AF based on the above screened results.Odds ratios (ORs) and 95％ confidence interval (CI) were calculated to assess the strength of the correlations.Moreover,we downloaded the genotype data from the HapMap Project for linkage disequilibrium analysis ofrs17042171.Results:AF patients were likely to be of older age and longer left atrial diameter and had more coronary artery disease and higher hypertension compared with the control group (P＜0.05).Among the 5 SNPs,the frequency distribution of genotype AA for rs17042171 was significantly different between the AF and control groups (P＜0.05).After adjusting for several covariates,there was still a high risk ratio in patients with the AA genotype compared with the AC+CC genotype (OR:5.591,95％CI 2.176 to 14.365,P-B＜0.008).Similarly,stratification analysis on the AA genotype demonstrated significant differences between rs17042171 and persistent AF.However,there were not significant correlations between AF and the control groups for the other 4 SNPs (P＜0.05).Conclusion:Rs17042171,near PITX2 on chromosome 4q25,is associated with AF susceptibility in the Chinese Han population from the central plains,suggesting that this SNP can provide a new strategy for clinical diagnosis in AF patients.