We’re moving! Datasets in the NIAGADS database are being transitioned to the DSS database, click to learn more.

Available Datasets

Dataset Type Samplessort ascending Markers
NG00059
Aging, Dementia, and TBI Study
Gene Expression
377
NG00104
Dataset from Clinical and Pathological Studies in the Oldest Old (90+ Study) (via DSS)
Genotype
268
NG00105
MiGA – Microglia Genomic Atlas (via DSS)
Gene Expression
255
NG00087
WashU2 GWAS
Genotype
235
540469
NG00129
NCRAD Families WES (via DSS)
Sequence
170
NG00162
Oligodendrocytes single-cell whole genome and RNA sequencing (via DSS)
123
NG00135
UAB ADRC Genetic Data (via DSS)
Genotype
96
NG00050
GWAS of CLU, A potential endophenotype for Alzheimer's disease
Genotype
50
6015512
NG00108
Profiling microglia expression profiles in AD using single-nuclei RNA-seq (via DSS)
Gene Expression
44
NG00033
Identifying Rare Variants That Increase Risk For Alzheimer's Disease
Sequence
37
124675
NG00121
Alzheimer’s disease single-neuron whole-genome sequencing - Miller 2022 (via DSS)
Sequence
29
NG00057
Laser Capture and RNA sequencing of Microglia in human brain - Mastroeni et al.(2017)
Gene Expression
18
NG00055
CSF Aβ/ptau Summary Statistics - Deming Y et al. (2017)
Genotype
NG00115
Similar Genetic Architecture of Alzheimer’s Disease and Differential APOE Effect Between Sexes- Wang et al. 2021
Genotype
NG00157
Sex-specific genetic predictors of Alzheimer’s disease biomarkers – Deming et al., 2018 (via DSS)
NG00089
CSF TREM2 Summary Statistics
Genotype
NG00130
Large scale CSF proteogenomic atlas (via DSS)
NG00144
The Prediction of Alzheimer’s Disease through Multi-Trait Genetic Modeling (via DSS)
NG00056
Transethnic GWAS Summary Statistics - Jun et al. (2017)
Genotype
NG00116
Resolving mutations in challenging genomic regions to test association with disease phenotypes (via DSS)