Data Summary

Funded in 2012, NIAGADS became the NIA-designated national data repository to facilitate data sharing for the study of genetics of Alzheimer’s disease and other related dementias (ADRD). The NIAGADS Data Sharing Service (DSS) was developed in 2018 to host and share data generated from the Alzheimer’s Disease Sequencing Project (ADSP) with the research community. See below for information about data hosted in each database (last updated December 2019).

240+ approved Data Access Requests

39
via DSS
155
via dbGaP
53
via NIAGADS

NIAGADS DSS Data Summary

Data Numbers

The ADSP has released whole-genomes for 4,750 subjects which includes CRAMs, gVCFs, a quality-controlled project level VCF and phenotypes. These data are available for qualified researchers to access. More information can be found on the ADSP Umbrella dataset page.
4,750
subjects
9,825
files
138.29 TB
total size

Sample Composition

NIAGADS DSS is currently hosting 4,750 whole genomes from the ADSP Discovery + Extension and ADNIWGS-1 phases. A breakdown by affection status and Ethnicity is shown here.

Future Datasets

20,000 whole-exomes
18,000 whole-genomes
The next data release, planned for January 2020, will include about 20,000 whole-exomes from nine studies all called using the GCAD VCPA pipeline. The first release of the dataset will include CRAMs, gVCFs, and phenotypes for each sample. The second release, will include the ADSP QC’ed project level VCF.
GCAD is currently processing an additional 13,000 whole-genomes to be joint-called with the first whole-genome dataset, totaling about 18,000 whole-genomes. Joint calling of this dataset will begin in January 2020.

NIAGADS Data Summary

64
Datasets
which include
59,509
Samples
and over
33 billion
Genotypes

Data Availability and Types

All data derived from NIA funded Alzheimer’s Disease (AD) genetic studies are expected to be deposited in NIAGADS or another NIA approved site. As the NIA designated repository, NIAGADS has assisted with the deposition of genomic data of various types. Go to NIAGADS to view available datasets.