Publication
Patient Stratification of Two Asthma Populations Reveals Distinct Genetic and Mechanistic Differences
PrecisionLife prioritized 10 of the most tractable gene targets specific to T2-low asthma in both UK Biobank and GASP asthma populations
Blog
Beginning to Unravel the Biological Drivers of ME
We have for the first time potentially identified some of the different genetic mechanisms causing ME/CFS and used this to stratify patients.
Publication
Genetic Risk Factors for Severe and Fatigue Dominant Long COVID
PrecisionLife identified the first detailed genetic risk factors for long COVID and common mechanisms with ME/CFS and other complex diseases
Blog
Genetic Subtypes in Endometriosis with Combinatorial Analytics
Latest stratification results show potential for combinatorial analytics to improve risk prediction and drive precision medicine in endometriosis
Publication
Genetic Risk Factors for ME/CFS Identified using Combinatorial Analysis
Groundbreaking study published in the Journal of Translational Medicine provides the first detailed genetic insights into the mechanisms underpinning ME/CFS
Blog
Precision Neuroscience
Extending precision medicine into neurological, psychiatric, and neurodegenerative diseases
Publication
Cross-Disorder Patient and Mechanistic Stratification using Combinatorial Analyses
Our analyses indicate that subgroups of patients with CNS diseases have common pathophysiological drivers that may contribute to specific common clinical manifestations.
Publication
Combinatorial Analysis of ALS and FTD Patient Genomes to Identify Cross-Disease Mechanisms
Our analyses provides insights into subgroups of patients with ALS and FTD with common pathophysiological drivers that may underlie specific overlapping clinical manifestations, allowing us to develop precision medicine interventions targeted at mechanisms occurring in both diseases.
Publication
Patient Stratification of Asthma Population Reveals Distinct Genetic & Mechanistic Differences between T2-High and T2-Low Asthma
The PrecisionLife platform identified 2,483 SNPs that were highly associated with T2-high asthma and 1,182 SNPs in the T2-low cohort with only 36 common between the two datasets.
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