The time has never been more critical for drug-discovery data and innovative solutions development to open up its secrets for precision medicine to win the battle against Coronavirus disease 19 (COVID-19); a respiratory illness caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Despite many significant scientific and medical discoveries, the genetics of rare infectious diseases like COVID-19 remains far from clear. Our goal is to facilitate implementation of precision medicine to improve the traditional symptom-driven practice and tailoring better-personalized treatments, especially when dealing with pandemic situations. One challenge is to timely model clinical and genomics data to find statistical patterns across millions of features to identify underlying biologic pathways, modifiable risk factors and actionable information that supports early detection and prevention of COVID-19, and development of new therapies for better patient care. It is important to investigate correlation and overlapping between reported diagnoses of COVID-19 patients in clinical data with identified germline and somatic mutations, and highly expressed genes from genomics data analysis. We present a high volume clinical-genomics database accessed through an iOS application i.e. PAS, integrating information about classified diseases, genes, and germline and somatic mutations, including ACE2 and TMPRSS2, and other related to COVID-19.
Talk:
- Ahmed, Z. Human Gene and Disease Associations for Clinical-Genomics and Precision Medicine. ISMB – 2020.
Abstract & Poster:
- Ahmed, Z., Zeeshan, S., Dong XQ. Human gene and disease associations for clinical-genomics and precision medicine research to investigate COVID-19. 28th International Conference on Intelligent Systems for Molecular Biology (ISMB). The International Society for Computational Biology (ISCB). International Society for Computational Biology Community Journal. F1000 Research. 2020.
