Objective
We conducted a phenotype-wide association study (PheWAS) to compare diagnoses among Blacks with those of Whites in one health center in Tennessee using data from 1,883,369 patients.
Methods
We used our deidentified EHR, the Synthetic Derivative, to assess risk of diagnoses associated with Black as compared with White race using Firth logistic regression with covariates including age, sex, and density of clinical encounters.
Results
There were anchoring associations in both directions, including the highest increased risk for Blacks of having sickle cell anemia, and strongest
decreased
risk of basal cell carcinoma. Results included established areas of disparity and many novel associations.
Conclusions
PheWAS is a viable tool for calculating risk associated with any biomarker. The current analysis provide a new approach to generating hypotheses and understanding the breadth of health disparities. Future analyses will further explore causality, risk factors, and potential confounders not accounted for here.