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. 2021 Sep 11;10(9):giab059. doi: 10.1093/gigascience/giab059

Table 2:

Phenotype validation mechanisms

Mechanism Description Example
Disease registries Compare the phenotype cohort with those present in the registry Comparison of a diabetes phenotype cohort with those patients present in a diabetes registry (e.g., T1D exchange)
Chart review Compare the phenotype cohort with the patients identified by manual review of medical records Comparison with a diabetes gold standard, produced by double manual review of patient medical records
Cross-EHR concordance Compare percentage of cases identified by a phenotype across different sources, and identify any overlap Comparison of the percentage of patients identified by a diabetes phenotype in primary and secondary care EHRs, and the identification of any case overlap
Risk factors Compare the magnitude of the phenotype cohort with standard risk calculations Comparison with the output of a Cox hazards model
Prognosis Compare the magnitude of the phenotype cohort with external prognosis models Comparison with a survival analysis
Genetic associations Compare whether the presence of a patient in a phenotype cohort is consistent with their genetic profile A patient is more likely to be a valid member of a diabetes cohort if they have the HLA-DR3 gene