TY - JOUR
AU - Parkinson, Nicholas
AU - Rodgers, Natasha
AU - Fourman, Max Head
AU - Wang, Bo
AU - Zechner, Marie
AU - Swets, Maaike C.
AU - Millar, Jonathan E.
AU - Law, Andy
AU - Russell, Clark D.
AU - Baillie, J. Kenneth
AU - Clohisey, Sara
PY - 2020
DA - December
TI - Dynamic data-driven meta-analysis for prioritisation of host genes implicated in COVID-19
JO - Scientific Reports
VL - 10
IS - 1
DO - https://doi.org/10.1038/s41598-020-79033-3
AB - The increasing body of literature describing the role of host factors in COVID- 19 pathogenesis demonstrates the need to combine diverse, multi-omic data to evaluate and substantiate the most robust evidence and inform development of therapies. Here we present a dynamic ranking of host genes implicated in human betacoronavirus infection (SARS-CoV-2, SARS-CoV, MERS-CoV, seasonal coronaviruses). We conducted an extensive systematic review of experiments identifying potential host factors. Gene lists from diverse sources were integrated using Meta-Analysis by Information Content (MAIC). This previously described algorithm uses data-driven gene list weightings to produce a comprehensive ranked list of implicated host genes. From 32 datasets, the top ranked gene was PPIA, encoding cyclophilin A, a druggable target using cyclosporine.Other highly-ranked genes included proposed prognostic factors (CXCL10, CD4, CD3E) and investigational therapeutic targets (IL1A) for COVID-19. Gene rankings also inform the interpretation of COVID-19 GWAS results, implicating FYCO1 over other nearby genes in a disease-associated locus on chromosome 3. Researchers can search and review the ranked genes and the contribution of different experimental methods to gene rank at https://baillielab.net/maic/covid19. As new data are published we will regularly update list of genes as a resource to inform and prioritise future studies.
PB - Springer Nature
UR - https://www.research.ed.ac.uk/portal/en/publications/dynamic-datadriven-metaanalysis-for-prioritisation-of-host-genes-implicated-in-covid19(1770d2f6-0065-4f2e-9af7-0858f3a4978d).html
KW - Coronavirus (COVID-19)
ER