---
title: "NG00026 – University of Pittsburgh GWAS"
id: "7622"
type: "dataset"
slug: "ng00026"
published_at: "2025-01-21T19:23:56+00:00"
modified_at: "2026-10-06T18:56:32+00:00"
url: "https://dss.niagads.org/datasets/ng00026/"
markdown_url: "https://dss.niagads.org/datasets/ng00026.md"
excerpt: "To access this data, please log into DSS and submit an application.Within the application, add this dataset (accession NG00026) 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"
  - "Illumina HumanOmni1-Quad"
  - "Imputation"
  - "Open and Controlled Access Data"
  - "Platform"
  - "TOPMed r2"
---

## Overview

To access this data, please log into DSS and submit an application.  
Within the application, add this dataset (accession NG00026) 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 10/06/2026.

#### Description

The University of Pittsburgh (PITT) GWAS is a SNP array dataset used to identify risk and age-at-onset genes for Alzheimer’s disease (AD). This dataset was used in the replication stage of the [ADGC Naj et al. meta-analysis from 2011](https://pubmed.ncbi.nlm.nih.gov/21460841/)
. It is one of the five cohorts assembled by ADGC to replicate genetic variant findings in LOAD. 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.

#### Sample Summary per Data Type

| Sample Set | Accession | Data Type | Number of Samples |
| --- | --- | --- | --- |
| PITT GWAS | snd10143 | Genotyping SNP Array | 2,219 |

#### Available Filesets

| Name | Accession | Latest Release | Description |
| --- | --- | --- | --- |
| PITT GWAS: Genotype, covariate, and imputation files | fsa000173 | NG00026.v1 | Genotype, covariate and imputation files. |

View the [File Manifest](https://st1.niagads.org/portal/download-public/NG00026.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 |
| --- | --- | --- | --- |
| PITT GWAS | snd10143 | 2,219 | 2,219 |

## Related Studies

- [sa000012 - University of Pittsburgh- Kamboh](https://dss.niagads.org/studies/sa000012/) This study aims to investigate genetic variation associated with Alzheimer’s disease (AD) and AD-related phenotypes, including disease progression, age at onset, and survival. The study includes both whole-genome sequencing (WGS)… [Learn more](https://dss.niagads.org/studies/sa000012/)

## Cohorts

| Cohort | Number of Participants | Number of Samples |
| --- | --- | --- |
| University of Pittsburgh (PITT) | 2,219 | 2,219 |

## Consent Levels

| Consent Level | Number of Participants | Number of Samples |
| --- | --- | --- |
| GRU-IRB-PUB | 2,219 | 2,219 |

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 [NG00026](https://archive.niagads.org/datasets/NG00026)
.

### For investigators using University of Pittsburgh- Kamboh (sa000012) data:

This study was supported by the National Institute on Aging (NIA) grants AG030653, AG041718, AG064877 and P30-AG066468.

## Publications

- Naj AC. **Common variants at MS4A4/MS4A6E, CD2AP, CD33 and EPHA1 are associated with late-onset Alzheimer's disease.***Nature genetics. 2011 May.*[PubMed link](https://pubmed.ncbi.nlm.nih.gov/21460841/)
- Kamboh MI. **Genome-wide association analysis of age-at-onset in Alzheimer's disease.***Molecular psychiatry. 2012 Dec.*[PubMed link](https://pubmed.ncbi.nlm.nih.gov/22005931/)

### Total number of participants: 2,219

SexRaceEthnicityDiagnosisAPOE

Female1,31559.3 %

Male76934.7 %

Sex not reported: 135 (6.1%)

| White | 2,084 |
| --- | --- |
| NA | 135 |

- 228 (0.4%)
- 23155 (7.0%)
- 2454 (2.4%)
- 331,026 (46.2%)
- 34705 (31.8%)
- 44133 (6.0%)
- NA138 (6.2%)

| AD |  |  |
| --- | --- | --- |
| Control | 829 | 37.4% |
| Case | 1,255 | 56.6% |
| Unknown | 135 | 6.1% |

Not Hispanic or Latino

2,084

93.9%

Not Applicable/Not Available

135

6.1%