---
title: "Knight ADRC Collection"
id: "7145"
type: "collection"
slug: "knight-adrc-collection"
published_at: "2024-11-01T18:51:38+00:00"
modified_at: "2026-07-02T17:43:20+00:00"
url: "https://dss.niagads.org/collections/knight-adrc-collection/"
markdown_url: "https://dss.niagads.org/collections/knight-adrc-collection.md"
excerpt: "The search for novel risk factors and genetic modifiers for Alzheimer disease relies on the access to accurate and deeply phenotyped datasets. The Memory and Aging Project (MAP) at the Knight-ADRC (Washington University in St. Louis) collects cognitive data, CSF..."
---

The search for novel risk factors and genetic modifiers for Alzheimer disease relies on the access to accurate and deeply phenotyped datasets. The Memory and Aging Project (MAP) at the Knight-ADRC (Washington University in St. Louis) collects cognitive data, CSF and imaging longitudinally. This clinical information combined with deep molecular phenotyping (i.e. genetic, proteomics, transcriptomics, metabolomics and lipidomics among others) will lead to the identification of novel genetic modifiers, protective variants, molecular biomarkers and the novel targets. Participants were recruited by the Knight-ADRC at Washington University in St. Louis (MO). Knight-ADRC participants have to be at least 65 years old and have no memory problems or mild dementia at the time of enrollment.

The cohort consists of individuals who are non-Hispanic white from North America (95%) or African American (5%). Individuals carrying known mutations in the Mendelian genes for AD (APP, PSEN1, PSEN2) or Frontotemporal Dementia (GRN, MAPT, C9ORF72) were excluded. AD definition is based on a combination of both clinical and pathological information if available. Pathologic diagnosis will overrule clinical diagnosis. Autopsy information is provided if available, but is not a requirement for enrollment.

## Knight ADRC Datasets Available in DSS

The datasets listed here are available for request through NIAGADS DSS.

| Accession Number | Dataset Name | Data Type | Samples/Participants | Last Release Date |
| --- | --- | --- | --- | --- |
| NG00030 | NG00030 – WashU1 GWAS | Genotyping SNP Array | 575 | June 18, 2026 |
| NG00035 | NG00035 – GWAS of CSF tau levels identifies risk variants for Alzheimer’s Disease | Genotyping SNP Array | 769 | February 20, 2025 |
| NG00049 | NG00049 – CSF Summary Statistics – Cruchaga et al. (2013) | Summary Statistics | NA | February 21, 2025 |
| NG00050 | NG00050 – GWAS of CLU, A potential endophenotype for Alzheimer’s disease | Genotyping SNP Array | 399 | February 20, 2025 |
| NG00052 | NG00052 – CLU, A potential endophenotype for AD: Summary Statistics – Deming et al. (2016) | Summary Statistics | NA | February 21, 2025 |
| NG00067 | NG00067 – ADSP Umbrella | AnnotationHarmonized PhenotypesStructural Variant CallsWhole Exome SequencingWhole Genome Sequencing | 110,270 | June 11, 2026 |
| NG00087 | NG00087 – WashU2 GWAS | Genotyping SNP Array | 235 | June 18, 2026 |
| NG00102 | NG00102 – Genomic atlas of the proteome from brain, CSF and plasma prioritizes proteins implicated in neurological disorders | Proteomic/MetabolomicQTL Summary Statistics | 1,157 | November 7, 2023 |
| NG00108 | NG00108 – Profiling microglia expression profiles in AD using single-nuclei RNA-seq | Single Cell RNA Sequencing | 44 | November 23, 2021 |
| NG00113 | NG00113 – Metabolomic and lipidomic signatures in Alzheimer disease brains | Proteomic/Metabolomic | 423 | February 4, 2022 |
| NG00114 | NG00114 – DNA Methylation in Alzheimer disease brains | Methylation | 413 | February 4, 2022 |
| NG00127 | NG00127 – A longitudinal study of Alzheimer’s Disease and other dementing illnesses – KnightADRC GWAS | Genotyping SNP Array | 4,496 | May 16, 2025 |
| NG00128 | NG00128 – Proteomic profiling identified plasma biomarkers for SARS-CoV-2 infection and severity of COVID-19 patients | Proteomic/Metabolomic | 482 | January 18, 2023 |
| NG00130 | NG00130 – Large scale CSF proteogenomic atlas | QTL Summary Statistics | NA | April 25, 2025 |
| NG00131 | NG00131 – Large scale genetics study on CSF and brain metabolite levels | QTL Summary Statistics | NA | April 16, 2025 |
| NG00142 | NG00142-Plasma Cell-Free RNA Transcriptomics for AD and Related Dementia | Short-Read RNA Sequencing | 378 | December 11, 2024 |
| NG00167 | NG00167 – Brain Small RNA Transcriptomics for AD and Related Dementias | Small RNA Sequencing | 295 | August 27, 2025 |
| NG00168 | NG00168 – Plasma Small RNA Transcriptomics for AD and Related Dementias | Small RNA Sequencing | 164 | August 27, 2025 |
| NG00180 | NG00180 – Four large scale pQTL and mQTL atlases in plasma from European and African ancestral groups | Summary Statistics | NA | August 14, 2025 |

## Knight ADRC Datasets Available in Archive NIAGADS

The datasets listed here were previously available for request through the NIAGADS archive website. All datasets are in the process of being moved over to DSS. To learn more and track the progress of the move, visit our [Legacy Dataset Migration](https://niagads.scrollhelp.site/support/legacy-dataset-migration-to-dss)
 page.

| Dataset | Name | Type | Cases/Controls | Total Subjects |
| --- | --- | --- | --- | --- |
| NG00051 | SORL1 coding variants and risk for AD | Targeted Genotyping Targeted Sequencing | sEOAD- 212/167 sLOAD- 134/266 fLOAD- 866/324 | sEOAD- 379 sLOAD- 400 fLOAD- 1190 |
| NG00055 | CSF Aβ/ptau Summary Statistics – Deming Y et al. (2017) | Summary Statistics | NA | NA |
| NG00083 | Circular RNAs in Alzheimer Disease Brains – RNA-seq Data | Summary Statistics/RNA-Seq | NA | NA |
| NG00085 | ExomeChip – WashU | GWAS | 519 / 349 | 868 |
| NG00089 | CSF TREM2 Summary Statistics | Summary Statistics | NA | NA |

This work was supported by grants from the National Institutes of Health (R01AG044546, P01AG003991, RF1AG053303, R01AG058501, U01AG058922, RF1AG058501 and R01AG057777). The recruitment and clinical characterization of research participants at Washington University were supported by NIH P50 AG05681, P01 AG03991, and P01 AG026276. This work was supported by access to equipment made possible by the Hope Center for Neurological Disorders, and the Departments of Neurology and Psychiatry at Washington University School of Medicine. We thank the contributors who collected samples used in this study, as well as patients and their families, whose help and participation made this work possible.

## Knight ADRC Studies with Associated Datasets in DSS

| Accession Number | Study Name |
| --- | --- |
| sa000008 | Charles F. and Joanne Knight Alzheimer’s Disease Research Center (Knight ADRC) |
| sa000026 | Knight ADRC & WU350 |
| sa000031 | Large scale pQTL and mQTL atlas in brain and CSF |
| sa000052 | Plasma Cell-Free RNA Transcriptomics for AD and Related Dementias |
| sa000074 | Four large scale pQTL and mQTL atlases in plasma from European and African ancestral groups |