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Reducing misclassification bias in electronic health record-based GWAS of psychiatric traits using the SuperControl framework
2025-12-15
genetic and genomic medicine
Title + abstract only
View on medRxiv
Show abstract
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 misclassification bias interacts with the classic "super-normal" control design. The...
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