---
title: "NG00029 – ROSMAP1 GWAS"
id: "7628"
type: "dataset"
slug: "ng00029"
published_at: "2025-01-21T19:25:53+00:00"
modified_at: "2026-07-31T20:34:51+00:00"
url: "https://dss.niagads.org/datasets/ng00029/"
markdown_url: "https://dss.niagads.org/datasets/ng00029.md"
excerpt: "To access this data, please log into DSS and submit an application.Within the application, add this dataset (accession NG00029) in the “Choose a Dataset” section.Once approved, you will be able to log in and access the data within the DARM..."
taxonomy_dataset_categories:
  - "AD"
  - "Controlled Access"
  - "Data Type"
  - "Disease"
  - "Genotyping SNP Array"
  - "Imputation"
  - "Open and Controlled Access Data"
  - "Platform"
  - "Thermo Affymetrix 6.0"
  - "TOPMed r2"
---

## Overview

To access this data, please log into DSS and submit an application.  
Within the application, add this dataset (accession NG00029) in the “Choose a Dataset” section.  
Once approved, you will be able to log in and access the data within the DARM portal.

This dataset was originally published on the NIAGADS archive site and was moved to DSS on 07/08/2026.

#### Description

Two studies are included in this submission, the Memory and Aging Project (MAP) and the Religious Orders Study (ROS). The Religious Orders Study and the Rush Memory and Aging Project are both cohort studies of aging and dementia that include organ donation at death. Together, more than 2,700 persons have agreed to annual clinical evaluation and brain donation at death.

This SNP array dataset, ROSMAP1, was used by the Alzheimer’s Disease Genetics Consortium (ADGC) to identify genes associated with an increased risk of developing Alzheimer’s disease. Provided here are the PLINK genotype files that have undergone ADGC quality control procedures, covariates formatted by ADGC to be used with the genotype data, and imputation files (.bgen format) generated using the TOPMED-r2 reference panel. Additional phenotypic data can be requested through the Rush RADC: [https://www.radc.rush.edu/requests.htm](https://www.radc.rush.edu/requests.htm)
.

#### Sample Summary per Data Type

| Sample Set | Accession | Data Type | Number of Samples |
| --- | --- | --- | --- |
| ROSMAP1 GWAS | snd10134 | Genotyping SNP Array | 1,668 |

#### Available Filesets

| Name | Accession | Latest Release | Description |
| --- | --- | --- | --- |
| ROSMAP1 GWAS: Genotype, covariate and imputation files. | fsa000168 | NG00029.v1 | Genotype, covariate and imputation files. |

View the [File Manifest](https://st1.niagads.org/portal/download-public/NG00029.v1/fm)
 for a full list of files released in this dataset.

## Participant Information

For a breakdown of the study population characteristics, navigate to the individual sample sets below.

| Sample Set | Accession Number | Number of Participants | Number of Samples |
| --- | --- | --- | --- |
| ROSMAP1 GWAS | snd10134 | 1,668 | 1,668 |

## Related Studies

- [sa000077 - Rush Alzheimer’s Disease Center (RADC) Studies](https://dss.niagads.org/studies/sa000077/) The Rush Alzheimer's Disease Center (RADC) at Rush University Medical Center is a National Institute on Aging (NIA)-funded Alzheimer's Disease Research Center dedicated to advancing research on Alzheimer's disease, related… [Learn more](https://dss.niagads.org/studies/sa000077/)

## Cohorts

| Cohort | Number of Participants | Number of Samples |
| --- | --- | --- |
| Religious Orders Study/Memory and Aging Project (ROSMAP) | 1,668 | 1,668 |

## Consent Levels

| Consent Level | Number of Participants | Number of Samples |
| --- | --- | --- |
| DS-ND-IRB-PUB-NPU | 1,668 | 1,668 |

Visit the [Data Use Limitations page](/documentation/policies-and-guidelines/data-use-limitations/)
 for definitions of the consent levels above.

## Acknowledgement

### Acknowledgment statement for any data distributed by NIAGADS:

Data for this study were prepared, archived, and distributed by the National Institute on Aging Alzheimer's Disease Data Storage Site (NIAGADS) at the University of Pennsylvania (U24-AG041689), funded by the National Institute on Aging.

Use the study-specific acknowledgement statements below (as applicable):

### For investigators using any data from this dataset:

Please cite/reference the use of NIAGADS data by including the accession [NG00029](https://archive.niagads.org/datasets/NG00029)
.

### For investigators using Rush Alzheimer’s Disease Center (RADC) Studies (sa000077) data:

We thank the study participants and staff of the Rush Alzheimer’s Disease Center. This work was supported by NIA grants P30AG10161, R01AG15819, R01AG17917, R01AG30146, U01AG32984, U01AG46152, U01AG61356, the Illinois Department of Public Health, and the Translational Genomics Research Institute.

The Alzheimer's Disease Genetics Consortium supported collection and genotyping of samples used in this study through National Institute on Aging (NIA) grants U01AG032984 and RC2AG036528.

The Center for Applied Genomics at the Children’s Hospital of Philadelphia Research Institute performed genotyping of samples.

Samples from the National Centralized Repository for Alzheimer’s Disease and Related Dementias (NCRAD), which receives government support under a cooperative agreement grant (U24 AG21886) awarded by the National Institute on Aging (NIA), were used in this study. We thank contributors who collected samples used in this study, as well as patients and their families, whose help and participation made this work possible.

## Publications

- De Jager PL. **A genome-wide scan for common variants affecting the rate of age-related cognitive decline.***Neurobiology of aging. 2012 May.*[PubMed link](https://pubmed.ncbi.nlm.nih.gov/22054870/)
- Bennett DA. **Overview and findings from the religious orders study.***Current Alzheimer research. 2012 Jul.*[PubMed link](https://pubmed.ncbi.nlm.nih.gov/22471860/)
- Bennett DA. **Overview and findings from the rush Memory and Aging Project.***Current Alzheimer research. 2012 Jul.*[PubMed link](https://pubmed.ncbi.nlm.nih.gov/22471867/)

## Approved Users

**Total number of approved DARs:** 1

[JSON Export](https://st1.niagads.org/portal/v1/adars/NG00029)
|[CSV Export](https://dss.niagads.org/wp-admin/admin-post.php?action=niagads_export_dars_csv&accession=NG00029)

- Investigator: Blue, Elizabeth Institution: University of Washington Project Title: Genetic modifiers of Alzheimer's disease Date of Initial Approval: July 15, 2025 Current Status: Approved Publications: None Reported Research Use Statements: Show statements Technical Research Use Statement: The objective of the proposed research is to identify and characterize genetic variants involved in Alzheimer's disease (AD) risk and AD-related phenotypes to ultimately identify potential avenues for therapeutic approaches and prevention of the disease. Our study design will use phenotypic (ex., AD diagnosis, age-at-onset, APOE genotype) and genomic data (ex., WGS, array, imputed genotypes) from NIAGADS studies to investigate genotype-phenotype associations. Strategies include association testing and haplotype- and family-based approaches, including estimates of relatedness and population genetics analyses as needed to perform the association testing (ex. control for population structure). NIAGADS data will not be used to investigate individual identity. Consent type and other Data Use Limitations (DUL) for each study will be respected in all analyses. Data from an individual with disease-specific consent will not be used in analyses outside of that restriction, including indirect uses such as imputation reference panels or variant summary statistics. When an individual’s DUL prohibits investigation of population genetics, population history or related issues, their data will be excluded from studies that address those issues. We intend to publish or otherwise broadly share any findings from this study with the scientific community. As such, genomic summary results from datasets with a “sensitive” designation will only be shared through publications to support study’s conclusions and through NIH-funded data repositories which maintain restricted access (ex. NIAGADS). Data from NIAGADS may be combined with non-NIAGADS data from the same or other studies (obtained from dbGaP or other sources), to improve the power for novel genetic discoveries, while respecting the consent of all participants. We expect that this activity creates no additional risks to participants. Data will be shared only among Internal Collaborators at the University of Washington. We do not plan to collaborate with External Collaborators at other institutions. Non-Technical Research Use Statement: We propose to identify and characterize genetic variation involved in Alzheimer's disease (AD), providing insight as to why some individuals develop or avoid AD, and ultimately identifying potential avenues for therapeutic approaches and prevention of the disease. We will combine phenotype and genotype data using association testing and haplotype- and family-based approaches to identify and characterize associations and refine those signals with fine-mapping tools and external data.

### Total number of participants: 1,668

SexRaceEthnicityDiagnosisAPOE

Female75845.4 %

Male29917.9 %

Sex not reported: 611 (36.6%)

| White | 1,057 |
| --- | --- |
| NA | 611 |

- 225 (0.3%)
- 23132 (7.9%)
- 2412 (0.7%)
- 33584 (35.0%)
- 34202 (12.1%)
- 4415 (0.9%)
- NA718 (43.0%)

| AD |  |  |
| --- | --- | --- |
| Control | 763 | 45.7% |
| Case | 294 | 17.6% |
| Unknown | 611 | 36.6% |

Not Hispanic or Latino

1,057

63.4%

Not Applicable/Not Available

611

36.6%