---
title: "NG00122 – Prediction of Psychosis in Alzheimer Disease Summary Statistics – DeMichele-Sweet, et al., 2021"
id: "9280"
type: "dataset"
slug: "ng00122"
published_at: "2026-08-20T14:11:06+00:00"
modified_at: "2026-08-25T19:21:03+00:00"
url: "https://dss.niagads.org/datasets/ng00122/"
markdown_url: "https://dss.niagads.org/datasets/ng00122.md"
excerpt: "To access the full dataset, please log into DSS and submit an application.Within the application, add this dataset (accession NG00122) in the “Choose a Dataset” section.Once approved, you will be able to log in and access the data within the..."
taxonomy_dataset_categories:
  - "AD"
  - "Controlled Access"
  - "Data Type"
  - "Disease"
  - "Open Access"
  - "Open and Controlled Access Data"
  - "Summary Statistics"
---

## Overview

To access the full dataset, please log into DSS and submit an application.  
Within the application, add this dataset (accession NG00122) in the “Choose a Dataset” section.  
Once approved, you will be able to log in and access the data within the DARM portal.

The p-value only files are available in the “Open Access Dataset” tab.

This dataset was originally published on the NIAGADS archive site and was moved to DSS on 08/28/2026.

#### Description

Subjects included this study (N=12,317) originated from eight program sources, had probable, possible, or autopsy-confirmed AD, and were characterized to be negative or positive for psychosis (delusions and/or hallucinations). Program sources provided either whole blood, DNA, single nucleotide polymorphism (SNP) array data, or genome-wide association statistics. Data from the eight program sources were processed as four cohorts (Phase 1, Phase 2, GR@ACE, and NEXGENS), based on timing of receipt of the data. Data processing, QC, and statistical analyses were uniform across three of the cohorts for which there were genotypes (Phase 1, Phase 2, GR@ACE), whereas only summary statistics were available for the fourth cohort (NEXGENS). Separate GWA analyses were performed for the Phase 1, Phase 2, and GR@ACE cohorts, to contrast AD+P versus AD-P for the 9,200,578 SNPs using the Plink option –logistic and with adjustment for three ancestry dimensions. For chromosome X, an additional covariate for sex was included. For NEXGENS, separate logistic regressions, implemented in PLINK for each of the five NEXGENS consortium datasets was used to contrast AD+P versus AD-P for each SNP, with adjustment for the first 10 ancestry principal components. METAL software was used to conduct inverse-variance weighted fixed effects meta-analysis across the five NEXGENS datasets, applying genomic control, to generate the summary statistics used in the current analysis. The four GWAS statistics (Phase 1, Phase 2, GR@ACE, NEXGENS summary), per SNP, were then meta-analyzed using METAL.

#### Available Filesets

| Name | Accession | Latest Release | Description |
| --- | --- | --- | --- |
| Prediction of Psychosis in AD: Full Summary Statistics (application needed) | fsa000175 | NG00122.v1 | Full Summary Statistics |
| Prediction of Psychosis in AD: P-values (open access) | fsa000176 | NG00122.v1 | P-value Only |

View the [File Manifest](https://st1.niagads.org/portal/download-public/NG00122.v1/fm)
 for a full list of files released in this dataset.

## Related Studies

- [sa000085 - Prediction of Psychosis in Alzheimer Disease](https://dss.niagads.org/studies/sa000085/) Psychotic symptoms, defined as the occurrence of delusions or hallucinations, are frequent in Alzheimer disease (AD with psychosis, AD+P), affecting ~ 40% to 60% of individuals with AD. AD+P identifies… [Learn more](https://dss.niagads.org/studies/sa000085/)

## 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 [NG00122](https://archive.niagads.org/datasets/NG00122)
.

### For investigators using Prediction of Psychosis in Alzheimer Disease (sa000085) data:

This study was supported by the following federal grants: AG027224 (RAS), MH116046 (RAS), MH057881 (BD), AG030653 (MIK), AG041718 (MIK), AG066468 (OLL). Authors in the NIA-LOAD Family Based Study Consortium are Tatiana Foroud, M. Ilyas Kamboh, Oscar L. Lopez, and Richard Mayeux. Authors in the Alzheimer’s Disease Genetics Consortium (ADGC) are Tatiana Foroud, Richard Mayeux, and Robert A. Sweet. A complete list of contributing individuals, consortia, and their grant support can be found in Supplementary Acknowledgements (PMID34112972).

## Publications

- DeMichele-Sweet MAA. **Genome-wide association identifies the first risk loci for psychosis in Alzheimer disease.***Molecular psychiatry. 2021 Oct.*[PubMed link](https://pubmed.ncbi.nlm.nih.gov/34112972/)

### Total number of participants: 0