NG00100 - Novel risk loci and pathways associated with Alzheimer disease in African Americans: A GWAS and meta-analysis summary statistics- Kunkle et al. (2020)


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.

The p-value data is available to all users using the link below; however, gaining access to the complete dataset requires a formal data request.

ADGC is releasing the summary results data from this analysis in order to enable other researchers to examine particular variants or loci for their evidence of association. We welcome your request with the proviso 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.

Summary Statistics p-values only

Molecular Data Type


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