Stanford ADRC · Research Resource Sharing Hub

Accelerating Alzheimer's Research Through Open Science

The Stanford Alzheimer's Disease Research Center (ADRC) is part of a nationwide network of NIH-designated Centers of Excellence. Explore our multi-modal datasets, filter to your study criteria, and request access to data.

475+
Study Participants
6
Data Modalities
389
Healthy Controls
86
AD Participants
Latest Announcements
New
Data Update
PBMC scRNAseq & Plasma Proteomics Now Available

Single-cell RNA sequencing data from PBMCs and plasma proteomics data (SomaScan) are now available for external request. These datasets cover 389 healthy controls and 86 AD participants from the Stanford ADRC and ADRC/Wagner cohorts.

Documentation

Study Documentation & Data Types

Deep phenotyping across multiple biological data types from longitudinal volunteers with and without cognitive impairment. NIH/NIA grant P30AG066515.

Study Overview

The Iqbal Farrukh and Asad Jamal Stanford ADRC is part of a nationwide network of NIA-designated Centers of Excellence. Its mission is to facilitate multidisciplinary research on Alzheimer's disease and the Lewy body (LB) spectrum of cognitive impairment through deep phenotyping — integrating clinical, neuropsychological, imaging, genomic, proteomic, and neuropathological data from the same individuals followed over time.

Healthy adults serve as a comparison population and as a preclinical population for studying mechanisms of cognitive aging and clinical transition. People with Parkinson's disease without cognitive impairment serve as at-risk comparators for LB-spectrum cognitive impairment. Together these groups enable unique parallel study of AD and LB disorders, providing insights into pathogenesis, preclinical diagnosis, transitions, and therapeutic approaches.

450+
ADRC participants
80%
Brain donation consent
7
Research cores
2015
Initial funding (P50)
Research Cores (P30AG066515)
Administrative Core
Coordinates ADRC infrastructure, development projects, and contributions to national repositories (NACC, NCRAD, NIAGADS).
Clinical Core
Enrolls participants; annual neurological exams, neuropsychological testing, and consensus diagnoses using CDR and NACC UDS procedures.
Biomarker Core
Fluid biospecimens (plasma, CSF), whole genome sequencing, immune cell profiling, and plasma/CSF proteomics (SomaScan v4.1).
Imaging Core
Structural MRI (T1, FLAIR), amyloid PET (Florbetaben), tau PET, FDG-PET; processed FreeSurfer outputs and regional SUVRs.
Neuropathology Core
Brain autopsies; well-characterized tissues; quantitative molecular data from high-content imaging; fibroblast cell lines.
Data Management & Statistics
REDCap database; research datasets; biostatistical consultation; bioinformatics and AI tools for big data research.

Cohort Design

Community-dwelling adults from Santa Clara and San Mateo counties (primary catchment, ~2.7M residents), with emphasis on Hispanic/Latino older adults who are underrepresented in AD research. Participants undergo annual comprehensive assessments and are followed longitudinally.

Participant Groups
Healthy Controls (HC)~55%
Mild Cognitive Impairment~15%
Alzheimer's Disease~18%
Parkinson's Disease / PD-MCI~8%
Lewy Body Dementia (DLB/PDD)~4%
Annual Assessment Protocol
Neurological exam and full cognitive battery
Annual blood draw (PBMCs, plasma, DNA)
MRI (T1, FLAIR) and amyloid/tau PET imaging
CSF lumbar puncture every 3 years (consenting)
Brain donation at autopsy (80% consent rate)
Inclusion & Diagnosis
Adults aged 50+ from the Bay Area. Consensus diagnoses are assigned using Clinical Dementia Rating (CDR) scale and NACC Uniform Data Set procedures by board-certified neurologists and neuropsychologists. Biomarker classification follows the NIA-AA A-T-N framework (CSF Aβ42/Aβ40 ratio, amyloid PET, hippocampal volume).

Available Data Types

Six primary data modalities available through this hub. All data are de-identified. Access requires a Data Use Agreement (DUA).

Clinical
Cognitive Scores
Annual neuropsychological assessments: MMSE, MoCA, CDR, ADAS-Cog, Trail Making A/B, Digit Span, Boston Naming, Category/Letter Fluency, Logical Memory, CVLT. Longitudinal data across multiple visits.
Imaging
Imaging Phenotypes
Structural MRI (T1, FLAIR), amyloid PET (18F-Florbetaben), tau PET, FDG-PET. FreeSurfer-processed cortical thickness, hippocampal volume, and regional SUVRs. Raw data via NACC.
Genomics
Whole Genome Sequencing
Short-read WGS (MGI, ~30x) and long-read nanopore sequencing. SNV/indel calls, structural variants, APOE genotype, AD polygenic risk scores. Data deposited at NIAGADS.
Single-cell
PBMC scRNAseq
Single-cell RNA sequencing from peripheral blood mononuclear cells. Cell-type resolved immune profiles across diagnostic groups. Collected annually.
Proteomics
CSF Proteomics
Lumipulse assays (Abeta42, Abeta40, p-tau181, t-tau; Abeta42/40 <0.091 = amyloid positive) and Olink proximity extension assay. Collected every 3 years from consenting participants.
Proteomics
Plasma Proteomics
Longitudinal plasma proteomics via SomaScan v4.1 (~7,000 proteins). Available via Global Neurodegeneration Proteomics Consortium (GNPC) at ADRD Data Foundry. Annual blood draws from all participants.

Publications

Publications from the Stanford ADRC acknowledging NIH/NIA grant P30AG066515, sorted by year. Full list at med.stanford.edu/adrc/research.html.

2025
Plasma proteomics links brain and immune system aging with healthspan and longevity
Oh HS, Le Guen Y, Rappoport N, et al. · Nature Medicine 2025 · PMID:40634782
Long-read genome sequencing and multi-omics in aging and neurodegeneration
Jensen TD, Le Guen Y, Talozzi L, et al. · medRxiv 2025 · doi:10.1101/2025.10.10.25337775
Parkinson's disease is characterized by vitamin B6-dependent inflammatory kynurenine pathway dysfunction
Wilson EN, Umans J, Swarovski MS, et al. · NPJ Parkinson's Disease 2025 · PMID:40287426
The effect of Alzheimer's disease genetic factors on limbic white matter microstructure
Lorenz A, Sathe A, et al. (ADNI) · Alzheimer's & Dementia 2025 · PMID:40219815
2024
Post-translational modifications linked to preclinical Alzheimer's disease pathological and cognitive changes
Abiose O, Rutledge J, Moran-Losada P, et al. · Alzheimer's & Dementia 2024 · PMID:38146099
Comprehensive proteomics of CSF, plasma, and urine identify DDC and other biomarkers of early Parkinson's disease
Rutledge J, Lehallier B, Zarifkar P, et al. · Acta Neuropathologica 2024 · PMID:38467937
Florbetaben amyloid PET acquisition time: Influence on Centiloids and interpretation
Johns E, Vossler HA, Young CB, et al. · Alzheimer's & Dementia 2024 · PMID:38962867
Temporal tau asymmetry spectrum influences divergent behavior and language in Alzheimer's disease
Younes K, Smith V, Johns E, et al. · Brain, Behavior, and Immunity 2024 · PMID:38710339
Impaired 24-h activity patterns associated with risk of AD, Parkinson's disease, and cognitive decline
Winer JR, Lok R, Weed L, et al. · Alzheimer's Research & Therapy 2024 · PMID:38347552
Lateral thinking: Neurodegeneration of the cortical cholinergic system in Alzheimer's disease
Crockett RA, Casselton C, Howard TM, et al. · Neurobiology of Disease 2024 · PMID:39307400
Diagnosis and Management of Progressive Corticobasal Syndrome
Nouh CD, Younes K. · Current Treatment Options in Neurology 2024 · PMID:39886562
INviting Veterans InTo Enrollment in Alzheimer's Disease Research Centers (INVITE-ADRC)
Padula CB, Ball S, Wyman MF, et al. · Alzheimer's & Dementia 2024 · PMID:38348782
2023
Organ aging signatures in the plasma proteome track health and disease
Oh HS, Rutledge J, Nachun D, et al. · Nature 2023 · PMID:38057571
Illusory responses across the Lewy body disease spectrum
Shahid M, Rawls A, Ramirez V, et al. · Annals of Neurology 2023 · PMID:36511519
Reduced cortical cholinergic pathway integrity in Parkinson's disease-related cognitive impairment
Crockett RA, Wilkins KB, Aditham S, Brontë-Stewart HM. · Neurobiology of Disease 2023 · PMID:37524210
Cerebellar volume and disease staging in Parkinson's disease: ENIGMA-PD Study
Kerestes R, Laansma MA, Poston KL, et al. · Movement Disorders 2023 · PMID:37964373
Reliability of remote NACC Uniform Data Set data collection
Smith V, Younes K, Poston KL, Mormino EC, Young CB. · Alzheimer's & Dementia (Amsterdam) 2023 · PMID:38034852
2021–2022
Divergent cortical tau PET patterns among patients with preclinical Alzheimer disease
Young CB, Winer JR, Younes K, et al. · JAMA Neurology 2022 · PMID:35435938
Performance of a fully-automated Lumipulse plasma phospho-tau181 assay for Alzheimer's disease
Wilson EN, Young CB, Ramos Benitez J, et al. · Alzheimer's Research & Therapy 2022 · PMID:36376980
Association of short and long sleep duration with amyloid-beta burden and cognition in aging
Winer JR, Deters KD, Kennedy G, et al. · JAMA Neurology 2021 · PMID:34338697
Data Availability & Request

Explore What Data Is Available

Each row represents one of our 6 data modalities. Colored bars indicate which participants have data available. Use the filters below to narrow your cohort, then proceed to request access.

Filter Participants
Narrow the participant pool. The availability chart and match count update instantly.
Required data types (must have ALL selected):
475
participants match your criteria
HC: 389 AD: 86 Female: 280 Male: 195
Data Availability by Participant
Each column represents one participant (ADRC_ID). Filled bars indicate available data for that modality.
Cognitive scores
Imaging phenotypes
Whole genome seq.
PBMC scRNAseq
CSF proteomics
Plasma proteomics
All samples
Cognitive scores
Imaging phenotypes
Whole genome seq.
PBMC scRNAseq
CSF proteomics
Plasma proteomics
All samples
Available Dataset Summary
Cognitive Scores
475 participants
HC389
AD86
Imaging Phenotypes
318 participants
HC254
AD64
Whole Genome Seq.
410 participants
HC336
AD74
PBMC scRNAseq
389 participants
HC320
AD69
CSF Proteomics
283 participants
HC216
AD67
Plasma Proteomics
451 participants
HC374
AD77
Data Access Request

Request Stanford ADRC Data

Complete the form below to submit a data access request. All requests are reviewed by the ADRC Data Sharing Committee within 2–4 weeks. A Data Use Agreement (DUA) is required.

Request Submitted
Your data access request has been submitted to the ADRC Data Sharing Committee. You will be contacted within 2–4 weeks with next steps including DUA execution.
1. Researcher Information
2. Data Selection
Select data modalities needed:
Participant Subset Filters
3. Research Purpose
4. Agreements
Request Process
1
Submit Application
Complete and submit this form with IRB documentation.
2
Committee Review
ADRC Data Sharing Committee reviews within 2–4 weeks.
3
Execute DUA
Data Use Agreement signed between institutions.
4
Secure Transfer
Data delivered via secure, encrypted channel.
Contact

Questions about data access? Contact the Stanford ADRC Data Sharing team.

adrc-data@stanford.edu
Data Explorer

Explore & Compare Datasets

Browse synthetic placeholder data across all 6 modalities. Filter by diagnosis, sex, and APOE genotype. Download any subset as CSV.

HC vs AD Distribution — Key Variables
HC median ± IQR AD median ± IQR ● large effect   ◐ medium   ○ small
Data Table