Article

Reducing misclassification bias in electronic health record-based GWAS of psychiatric traits using the SuperControl framework

2025-12-15

Abstract excerpt

Electronic health records (EHRs) have enabled large-scale genetic studies of psychiatric disorders, but their diagnostic imprecision introduces substantial misclassification bias. This challenge is particularly pronounced for psychiatric traits, which lack objective biomarkers, exhibit high comorbidity, and are often underdiagnosed due to stigma and help-seeking barriers. We first used simulations to examine how m...

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Literature Corpus work: 88bbd9f1-5167-5c4d-85cc-ec63efe351e4
DOI: 10.64898/2025.12.14.25342213

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