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Background: Biobanks that link genetic data to electronic health records (HER) data are exceptional resources for large-scale genetic studies. However, EHR diagnostic data can present many challenges such as incomplete patient records and coding errors. Also, diagnosis codes and practices can vary across health systems in the EHR. Depression (DEP) and anxiety (ANX) are common psychiatric disorders, highly comorbid and have a strong genetic correlation. Genome-wide association studies of DEP and ANX have been conducted in large samples with ascertainment based on a combination of clinical assessment, self-report, or diagnosis codes and consisting only of participants of European (EUR) descent. Here, we evaluate the performance of polygenic risk scores (PRS) for DEP and ANX derived from these prior studies in the clinical setting and compare the performance across multiple health systems …