Profiling phenome-wide associations: a population-based observational study

Conclusions The correlation analysis of pairwise disease association patterns across different age and gender groups led to outcomes that were broadly predicted before the analysis, thus confirming the validity of the information contained in the presented database. More diverse individual disease-specific analyses would lead to a better understanding of phenome-wide associations and empower physicians to provide personalized care in terms of predicting, preventing, or initiating an early management of concomitant diseases.
Source: Journal of the American Medical Informatics Association - Category: Information Technology Authors: Tags: Brief Communication Source Type: research