To access this data, please log into DSS and submit an application.
Within the application, add this dataset (accession NG00100) 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.

Description

A GWAS meta-analysis of 2,784 cases and 5,222 controls recruited from several case-control and family-based studies of African Americans was performed.  A detailed description of the original cohorts and summary demographics of all samples included in this analysis are provided in the Supplementary Material of Kunkle et al. (Supplementary Note; Supplementary Tables 1-3). Imputation was performed with the African Genome Resources (AGR) panel. The final SNP set for analysis included 29,610,185 genotyped and imputed variants. Genotype dosages were analyzed within each dataset and subsequently meta-analyzed, adjusting for age, sex and PCs for population substructure (Model 1), and subsequently in addition for APOE genotype (Model 2). Additional details on these analyses and the methods for gene, pathway and expression association analyses can be found in the Supplementary Material of Kunkle et al. 

Two datasets are provided.
The first one corresponds to the meta-analysis results obtained from model 1 (age, sex, and age adjusted) including genotyped and imputed data (African Genome Resources (AGR) panel of 2,784 Alzheimer’s disease cases and cases and 5,222 cognitively normal controls. The second one corresponds to the meta-analysis results of the same dataset and imputation, including adjustment for APOE in the model (model 2). 

Each data file consists of information on SNP and its association to Alzheimer’s disease based on meta-analysis in the publication mentioned below. Although the individual datasets examined excluded any SNPs with call rates <95%, ADGC meta-analysis only analyzed SNPs either genotyped or successfully imputed in at least 30% of the AD cases and 30% of the control samples across all datasets. Please see the Supplementary methods for further details on quality control steps performed. 

NOTE: The ADGC is releasing the summary results data from this analysis to enable other researchers to examine particular variants or loci for their evidence of association. We welcome your request with the provision that these summary data should not be used for research into the genetics of intelligence, education, social outcomes such as income, or potentially sensitive behavioral traits such as alcohol or drug addictions.

This dataset was originally published on the NIAGADS archive site on 08/20/2020 and was moved to DSS on 01/22/2025.

Available Filesets

NameAccessionLatest ReleaseDescription
AD Risk Using African Genome Panel - Kunkle (2021); Full Summary Statistics (application needed)fsa000120NG00100.v1Full Summary Statistics
AD Risk Using African Genome Panel - Kunkle(2021); P-values Only (open access)fsa000119NG00100.v1P-values only

View the File Manifest for a full list of files released in this dataset.