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Alzheimer’s Disease Sequencing Project Phenotype Harmonization Consortium (ADSP-PHC)

PI
Saykin, Andrew
DAR ID
10499
Initial Approval Date
March 24, 2022
Current DAR Status
Active
PI Institution
Indiana University School of Medicine
PI Institution Country
United States
PI Institution Type
Non-Profit

Requested Datasets (1)

NG00067Alzheimer's Disease Sequencing Project Umbrella Study

Research Use Statement
The ADSP-PHC was established to harmonize the rich endophenotype data across cohort studies to enable modern genomic analyses of ADRD with the ultimate goal to generate harmonized data that will become a “legacy” dataset perpetually curated and shared NIAGADS. The ADSP-PHC will facilitate phenotypic data harmonization for ADSP participants with genetic and genomic data. This effort represents a multi-disciplinary approach leveraging interdisciplinary expertise in large-scale genetic and genomic studies, clinical neuroscience, neuroimaging, psychometrics, and bioinformatics. This study will utilize a team structure consisting of two coordinating centers to oversee activities of all harmonization teams and to oversee coordination with other ADSP workgroups and initiatives, a Storage and Informatics Core that will oversee the coordination between LONI and NIAGADS for all data storage, compliance, and dissemination, a CHARGE Coordination Core to oversee the alignment of data and protocols with CHARGE workgroups, an Integration & Analytics Core that will enable data integration across phenotypes to facilitate downstream machine learning applications, and eight Domain-Specific Harmonization Teams tasked with harmonization in their area of expertise. The endophenotypes that will be harmonized by this project include Cognition, Fluid Biomarkers, Amyloid PET, Structural MRI, White Matter Hyperintensities, White Matter Integrity, Vascular Risk Factors, and Neuropathology.

Non-Technical Summary
The growing availability of endophenotypic data in cohort studies of Alzheimer’s disease and related dementias (ADRD) provides an exciting opportunity to further characterize the genetic architecture of this devastating disease. However, there is a pressing need to develop and apply advanced harmonization approaches to align ADRD endophenotypes across cohorts. The goal of this coordinated national initiative – the AD Sequencing Project Phenotype Harmonization Consortium, or “ADSP-PHC” – is to provide a centralized database of robust endophenotypes for large-scale genomic analyses that will accelerate the identification of novel targets for therapeutic intervention in ADRD. will accelerate the identification of novel targets for therapeutic intervention in ADRD.

Reported Publications (21)

Publications shown are those reported by investigators through NIAGADS DAR reporting and renewal processes and may not represent a complete list of publications associated with the project.

  1. Cognitive data harmonization in the ADRC Network and beyond-Past, present, and future. Crane PK, et al. Alzheimer's & dementia : the journal of the Alzheimer's Association. 2026. PMID: 41549411
  2. Evaluating the association of apolipoprotein E genotype and cognitive resilience in SuperAgers. Durant A, et al. Alzheimer's & dementia : the journal of the Alzheimer's Association. 2026. PMID: 41542929
  3. Genetic modifiers of APOE-ε4-associated cognitive decline. Contreras AG, et al. Nature communications. 2026. PMID: 41720779
  4. Heterogeneous patterns of cognitive decline in Alzheimer's disease across three domains of cognition. Scollard P, et al. Journal of Alzheimer's disease : JAD. 2026. PMID: 41603331
  5. A seven-year longitudinal study of the Alzheimer's disease blood metabolome. Marella B, et al. medRxiv : the preprint server for health sciences. 2025. PMID: 41409665
  6. Astrocyte Reactivity Polygenic Risk Score May Predict Cognitive Decline in Alzheimer's Disease. Phillips JM, et al. Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing. 2025. PMID: 39670391
  7. Beyond NACC's Uniform Data Set for cognition: the impact of additional items on measurement precision. Choi SE, et al. Alzheimer's & dementia : the journal of the Alzheimer's Association. 2025. PMID: 40960068
  8. Bridging the gap: addressing NACC's evolving cognition batteries across UDS versions. Lee ML, et al. Alzheimer's & dementia : the journal of the Alzheimer's Association. 2025. PMID: 41266285
  9. Characterizing Amyloid Pathogenic Spread in Alzheimer's Disease Through A Network Diffusion Model. Xu FH, et al. ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine. 2025. PMID: 41488126
  10. Evaluating the association of APOE genotype and cognitive resilience in SuperAgers. Durant A, et al. medRxiv : the preprint server for health sciences. 2025. PMID: 39830268
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  1. Facets of language performance in early-onset and late-onset Alzheimer's disease dementia. Gallée J, et al. Alzheimer's & dementia : the journal of the Alzheimer's Association. 2025. PMID: 40990522
  2. Facets of language performance in early-onset and late-onset Alzheimer's disease dementia. Gallée J, et al. medRxiv : the preprint server for health sciences. 2025. PMID: 40585112
  3. Genome-wide pleiotropy analysis of longitudinal blood pressure and harmonized cognitive performance measures. Kang M, et al. Alzheimer's & dementia : the journal of the Alzheimer's Association. 2025. PMID: 40951946
  4. Higher vitamin B(12) from mid- to late life is related to slower rates of cognitive decline. Marino FR, et al. Alzheimer's & dementia : the journal of the Alzheimer's Association. 2025. PMID: 41152187
  5. Multi-ancestry genome-wide meta-analysis of 56,241 individuals identifies known and novel cross-population and ancestry-specific associations as novel risk loci for Alzheimer's disease. Rajabli F, et al. Genome biology. 2025. PMID: 40676597
  6. Novel modelling approaches to elucidate the genetic architecture of resilience to Alzheimer's disease. Phillips JM, et al. Brain : a journal of neurology. 2025. PMID: 40111762
  7. Novel set of plasma proteins classifies Alzheimer's dementia in African American individuals with high accuracy. Kuchenbecker LA, et al. Alzheimer's & dementia : the journal of the Alzheimer's Association. 2025. PMID: 40717652
  8. Sex-Specific Genetic Drivers of Memory, Executive Functioning, and Language Performance in Older Adults. Eissman JM, et al. medRxiv : the preprint server for health sciences. 2025. PMID: 40492063
  9. SLR: A Modified Logistic Regression Model with Sinkhorn Divergence for Alzheimer's Disease Classification. Zhan Q, et al. AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science. 2025. PMID: 40502270
  10. The dynamics of cognitive decline toward Alzheimer's disease progression: Results from ADSP-PHC's harmonized cognitive composites. Kang K, et al. Alzheimer's & dementia : the journal of the Alzheimer's Association. 2025. PMID: 40538025
  11. White Matter Abnormalities and Cognition in Aging and Alzheimer Disease. Peter C, et al. JAMA neurology. 2025. PMID: 40513084