The National Institute on Aging Genetics of Alzheimer's Disease Data Storage Site

NIAGADS is the National Institute on Aging Genetics of Alzheimer's Disease Data Storage Site. NIAGADS is a national genetics repository created by NIA to facilitate access by qualified investigators to genotypic data for the study of genetics of late-onset Alzheimer's disease. NIAGADS collaborates with other NIA resources such as NCRAD, NACC, and ADGC.

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Available data

37

DATASETS

37,892

SAMPLES

24,462,843,374

GENOTYPES

Researchers

Submit a Data Acces Request, provide documents for a dataset submission, report any publications, or view NIAGADS documents and guidelines.

Request access to NIAGADS data

Submit a new or renewal application to access NIAGADS datasets.

Submit data

Provide NIAGADS documents for your dataset submission.

Documents and Guidelines

View all NIAGADS documents and guidelines.

Tools and software

Software and other tools developed for analysis of data in NIAGADS and other databases.

Databases

Genomics Database and DASHR

Pipelines

CoRAL, Draw+SneakPeek, SWAN for SV Analysis

Web Servers

HAMR and SAVoR

Recent news

Largest GWAS To Date Implicates Abeta, Tau, Immunity and Lipid Processing in LOAD

4/23/18
The Alzheimer's Disease Genetics Consortium (ADGC) and the International Genomics of Alzheimer’s Project (IGAP) performed the largest genetic wide association study (GWAS) to date to discover risk loci for LOAD. Their meta-analysis implicates Abeta, Tau, immunity and lipid processing. The paper on...

NIAGADS GenomicsDB Release

12/19/17
NIAGADS is pleased to announce the release of the Genomics Database v. 3.1, which features a major face lift intended to improve user experience. NIAGADS GenomicsDB is a public resource that researchers can access without having to formally request data. This release greatly improves the...

ISTAART Newsletter Recognizes UPenn's Li-San Wang

12/11/17
ISTAART, the Alzheimer’s Association’s society for physicians and scientists interested in ADRD research, featured members Li-San Wang and Andrew Saykin recently in their e-newsletter. The feature highlighted a CBS article that both Wang and Saykin were quoted in in October about advances in...

Li-San Wang Quoted in CBS Article

11/7/17
“Can the machine invasion help save your brain?” CBS explores this question in an October 27 article about the development of technology as it relates to advances in Alzheimer’s disease. While the amount of genetic data available has increased in recent years, the speed at which it gets sifted...