Combinatorial Analysis of Phenotypic and Clinical Risk Factors Associated With Hospitalized COVID-19 Patients
Abstract
Characterization of the risk factors associated with variability in the clinical outcomes of COVID-19 is important. Our previous study using genomic data identified a...
Analysis of Genetic Host Response Risk Factors in Severe COVID-19 Patients
Abstract
BACKGROUND
Epidemiological studies indicate that as many as 20% of individuals who test positive for COVID-19 develop severe symptoms that can require hospitalization. These symptoms include low platelet...
Systematic indication extension for drugs using patient stratification insights generated by combinatorial analytics
Abstract
Indication extension or repositioning of drugs can, if done well, provide a faster, cheaper, and derisked route to the approval of new therapies, creating new options...
Identification and Validation of Novel Combinatorial Genetic Risk Factors for Endometriosis across Multiple UK and US Patient Cohorts
JM Sardell, S Das, GL Møller, M Sanna, K Chocian, K Taylor, AR Malinowski, C Stubberfield, A Rochlin, S Gardner
Background
Endometriosis affects about 10% of...
Actively Protective Combinatorial Analysis: a Scalable Novel Method for Detecting Variants that Contribute to Reduced Disease Prevalence in High-Risk Individuals
Jason Sardell; Sayoni Das; Krystyna Taylor; Colin Stubberfield; Andy Malinowski; Mark Strivens; Steve Gardner
We present a novel...
published paper posted on this thread here
Preprint
Abstract
Background: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating chronic disease that lacks known pathogenesis, distinctive diagnostic criteria, and effective treatment options. Understanding the genetic...
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