NIAGADS Alzheimer's GenomicsDB: A resource for exploring Alzheimer's disease genetic and genomic knowledge

Alzheimers Dement. 2024 Feb;20(2):1123-1136. doi: 10.1002/alz.13509. Epub 2023 Oct 26.

Abstract

Introduction: The National Institute on Aging Genetics of Alzheimer's Disease Data Storage Site Alzheimer's Genomics Database (GenomicsDB) is a public knowledge base of Alzheimer's disease (AD) genetic datasets and genomic annotations.

Methods: GenomicsDB uses a custom systems architecture to adopt and enforce rigorous standards that facilitate harmonization of AD-relevant genome-wide association study summary statistics datasets with functional annotations, including over 230 million annotated variants from the AD Sequencing Project.

Results: GenomicsDB generates interactive reports compiled from the harmonized datasets and annotations. These reports contextualize AD-risk associations in a broader functional genomic setting and summarize them in the context of functionally annotated genes and variants.

Discussion: Created to make AD-genetics knowledge more accessible to AD researchers, the GenomicsDB is designed to guide users unfamiliar with genetic data in not only exploring but also interpreting this ever-growing volume of data. Scalable and interoperable with other genomics resources using data technology standards, the GenomicsDB can serve as a central hub for research and data analysis on AD and related dementias.

Highlights: The National Institute on Aging Genetics of Alzheimer's Disease Data Storage Site (NIAGADS) offers to the public a unique, disease-centric collection of AD-relevant GWAS summary statistics datasets. Interpreting these data is challenging and requires significant bioinformatics expertise to standardize datasets and harmonize them with functional annotations on genome-wide scales. The NIAGADS Alzheimer's GenomicsDB helps overcome these challenges by providing a user-friendly public knowledge base for AD-relevant genetics that shares harmonized, annotated summary statistics datasets from the NIAGADS repository in an interpretable, easily searchable format.

Keywords: ADSP; Alzheimer's Disease Sequencing Project; Alzheimer's disease; GWAS; NIAGADS; National Institute on Aging Genetics of Alzheimer's Disease Data Storage Site; data sharing; genetic associations; genetics; genome-wide association study; knowledge base.

MeSH terms

  • Alzheimer Disease* / genetics
  • Databases, Factual
  • Genetic Predisposition to Disease / genetics
  • Genome-Wide Association Study
  • Genomics
  • Humans
  • National Institute on Aging (U.S.)
  • United States