biostudies-literatureMerritt VCBLRD VACenter of Excellence for Stress and Mental HealthU.S. Department of Veterans AffairsNational Institute on Aging180-193https://www.ebi.ac.uk/biostudies/studies/S-EPMC12937003biostudies-literatureUnknown103(1)<h4>Background</h4>The age distribution and diversity of the VA Million Veteran Program (MVP) cohort make it a valuable resource for studying the genetics of Alzheimer's disease (AD) and related dementias (ADRD).<h4>Objective</h4>We present and evaluate the performance of several International Classification of Diseases (ICD) code-based classification algorithms for AD, ADRD, and dementia for use in MVP genetic studies and other studies using VA electronic medical record (EMR) data. These were benchmarked relative to existing ICD algorithms and AD-medication-identified cases.<h4>Methods</h4>We used chart review of n = 103 MVP participants to evaluate diagnostic utility of the algorithms. Suitability for genetic studies was examined by assessing association with <i>APOE</i> ε4, the strongesJournal of Alzheimer's disease : JADCuration and validation of electronic medical record-based dementia diagnoses in the VA Million Veteran Program.PMC12937003AG065385CX001727AG05064BX005749BX004192AG050595I01 BX005749IK2 CX001952I01 BX004192Marra DMVP Cognitive Decline and Dementia During Aging Working Group, VA Million Veteran ProgramHauger RLTsuang DWLogue MWMerritt VCLy MTZhang RSherva RPanizzon MSfalseCuration and validation of electronic medical record-based dementia diagnoses in the VA Million Veteran Program.<h4>Background</h4>The age distribution and diversity of the VA Million Veteran Program (MVP) cohort make it a valuable resource for studying the genetics of Alzheimer's disease (AD) and related dementias (ADRD).<h4>Objective</h4>We present and evaluate the performance of several International Classification of Diseases (ICD) code-based classification algorithms for AD, ADRD, and dementia for use in MVP genetic studies and other studies using VA electronic medical record (EMR) data. These were benchmarked relative to existing ICD algorithms and AD-medication-identified cases.<h4>Methods</h4>We used chart review of n = 103 MVP participants to evaluate diagnostic utility of the algorithms. Suitability for genetic studies was examined by assessing association with <i>APOE</i> ε4, the stronges2025-01-01T00:00:00Z2025 Jan2026-07-16T22:09:29.712Z2026-07-11T03:12:06.706ZS-EPMC129370033969247610.1177/13872877241299130