Optimizing NIAGADS sub‐cohorts based on APOE and age enhance Alzheimer's Disease gene discovery

The component cohorts of NIAGADS R2-R4 exhibit significant heterogeneity, as demonstrated by the diverse APOE and age distributions. Our approaches showed that optimizing these diverse cohorts based on APOE and age distributions improves AD gene recovery. The heterogeneity of AD cohorts also provides new opportunities to study smaller sub-groups, such as age of onset and specific APOE profiles. These diverse NIAGADS cohorts could ultimately help define standard criteria for AD cases and control subjects, offering valuable insights for future research.