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

PI
Hohman, Timothy
DAR ID
10477
Initial Approval Date
November 11, 2021
Current DAR Status
Active
PI Institution
Vanderbilt University Medical Center
PI Institution Country
United States
PI Institution Type
Non-Profit
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.

Site PIs on this project include: Jesse Mez (Boston University), Adam Brickman (Columbia University), Andy Saykin (Indiana University), Elizabeth Mormino (Stanford University), Pauline Maillard (UC Davis), Duygu Tosun-Turgut (UC San Francisco), Christos Davatzikos (University of Pennsylvania), Arthur Toga (USC); Mohamad Habes (University of Texas Health Science Center at San Antonio), Michael Cuccaro (University of Miami), Paul Crane (University of Washington), Bennett Landman (Vanderbilt University), Timothy Hohman (Vanderbilt University Medical Center), and Carlos Cruchaga (Washington University in St. Louis).
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.

Reported Publications (34)

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. Analytic Bounds on GAMLSS Model Variability of Normative White Matter Brain Charts. Kim ME, et al. Proceedings of SPIE--the International Society for Optical Engineering. 2026. PMID: 42267358
  2. Blood-based circular RNAs for early diagnosis of Alzheimer's disease. Phillips B, et al. Nature medicine. 2026. PMID: 42387213
  3. Combining post-mortem and neuroimaging measures of brain amyloidosis to accelerate genomic discovery. Wang TC, et al. Brain : a journal of neurology. 2026. PMID: 42334898
  4. Comparative Analysis of Artificial Intelligence-Based Quantification versus Visual Rating of Enlarged Perivascular Spaces in the Multi-Ethnic Study of Atherosclerosis Cohort. Torres MF, et al. AJNR. American journal of neuroradiology. 2026. PMID: 41397892
  5. 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
  6. Genetic modifiers of APOE-ε4-associated cognitive decline. Contreras AG, et al. Nature communications. 2026. PMID: 41720779
  7. Genome wide association study meta-analysis of neuropathologic lesions of Alzheimer's disease and related dementias in a multi-site autopsy cohort. Cholerton B, et al. PLoS genetics. 2026. PMID: 42371968
  8. GWAS meta-analysis of cerebrospinal fluid Alzheimer's biomarkers reveals loci regulating lipids, brain volume and autophagy. Timsina J, et al. Nature communications. 2026. PMID: 42014397
  9. Lifespan Trajectories of Asymmetry in White Matter Tracts. Bogdanov S, et al. Human brain mapping. 2026. PMID: 42249731
  10. Multi-modality conditioned variational U-net for field-of-view extension in brain diffusion MRI. Li Z, et al. Magnetic resonance imaging. 2026. PMID: 41520931
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  1. Sex-specific genetic drivers of memory, executive functioning and language in older adults. Eissman JM, et al. Brain : a journal of neurology. 2026. PMID: 41989867
  2. White matter micro- and macrostructure brain charts for the human lifespan. Kim ME, et al. Nature. 2026. PMID: 42129567
  3. Whole blood gene expression moderates associations between AD biomarkers and cognitive decline in cognitively unimpaired older adults. Klinger HM, et al. Alzheimer's & dementia : the journal of the Alzheimer's Association. 2026. PMID: 41724695
  4. A multi-ancestry polygenic risk score for Alzheimer disease is associated with cognitive decline, hippocampal atrophy and neuropathological hallmarks in diverse populations. Kurniansyah N, et al. medRxiv : the preprint server for health sciences. 2025. PMID: 41040715
  5. Amyloid PET predicts longitudinal functional and cognitive trajectories in a heterogeneous cohort. Younes K, et al. Alzheimer's & dementia : the journal of the Alzheimer's Association. 2025. PMID: 40145384
  6. APOE, ABCA7, and RASGEF1C are associated with earlier onset of amyloid deposition from more than 4000 harmonized positron emission tomography images. Castellano T, et al. Alzheimer's & dementia : the journal of the Alzheimer's Association. 2025. PMID: 41388821
  7. Associations between APOE-TOMM40 '523 haplotypes and limbic system white matter microstructure. Mooney KE, et al. Alzheimer's & dementia (Amsterdam, Netherlands). 2025. PMID: 40201595
  8. 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
  9. Clinical criteria for limbic-predominant age-related TDP-43 encephalopathy. Wolk DA, et al. Alzheimer's & dementia : the journal of the Alzheimer's Association. 2025. PMID: 39807681
  10. FDG PET of the brain to screen for neurodegenerative disease in older liver transplant candidates. Jones N, et al. European journal of nuclear medicine and molecular imaging. 2025. PMID: 40471321
  11. 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
  12. Harmonizing 10,000 connectomes: site-invariant representation learning for multi-site analysis of network connectivity and cognitive impairment. Newlin NR, et al. Journal of medical imaging (Bellingham, Wash.). 2025. PMID: 41210921
  13. LC-MS/MS proteomics identifies plasma proteins related to cognition over 9-year follow-up. Adegboye HA, et al. Alzheimer's & dementia : the journal of the Alzheimer's Association. 2025. PMID: 40469059
  14. 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
  15. 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
  16. Plasma biomarker trajectories: Impact of AD genetic risk and clinical progression. Pettigrew C, et al. Alzheimer's & dementia (Amsterdam, Netherlands). 2025. PMID: 40151521
  17. Proteomic signatures of corona and herpes viral antibodies identify IGDCC4 as a mediator of neurodegeneration. Duggan MR, et al. Science advances. 2025. PMID: 40446030
  18. Scalable quality control on processing of large diffusion-weighted and structural magnetic resonance imaging datasets. Kim ME, et al. PloS one. 2025. PMID: 40748971
  19. Scalable, reproducible, and cost-effective processing of large-scale medical imaging datasets. Kim ME, et al. Proceedings of SPIE--the International Society for Optical Engineering. 2025. PMID: 41450588
  20. Sex-specific associations of gene expression with Alzheimer's disease neuropathology and ante-mortem cognitive performance. Seto M, et al. Nature communications. 2025. PMID: 41145521
  21. The association between poor sleep health and Alzheimer's disease structural neuroimaging biomarkers. Nolan E, et al. Alzheimer's & dementia : the journal of the Alzheimer's Association. 2025. PMID: 40545560
  22. 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
  23. The Path-NeuroDegeneration consortium. Marsan E, et al. The Lancet. Neurology. 2025. PMID: 40409308
  24. Association of amyloid and cardiovascular risk with cognition: Findings from KBASE. Chaudhuri S, et al. Alzheimer's & dementia : the journal of the Alzheimer's Association. 2024. PMID: 39511852