One of the first challenges researchers face when accessing data is determining if the dataset has information relevant to their research question. The NIAGADS team is committed to reducing this burden for researcher through NIAGADS Open Access, a suite of knowledge bases to help explore the NIAGADS data collection and…
News
A Year of Support and Resource Improvements at NIAGADS
The last 12 months have been a year of growth for user support and resources at NIAGADS. The team was hard at work developing and improving documentation, tutorials, and more. Ticket System NIAGADS now has a dedicated ticket system for users to submit questions and technical issues. The ticket system…
Looking to Explore AD Genomics? Check out NIAGADS Alzheimer’s Genomics Database
The Alzheimer’s Genomics Database is a user-friendly AD-centric interactive knowledgebase and genome browser, which provides unrestricted access to GWAS summary statistics from the NIAGADS repository, as well as to annotated variants called from ongoing the Alzheimer’s Disease Sequencing Project’s (ADSP) joint-genotype calling efforts. We sat down with Dr. Emily Greenfest-Allen,…
Updates to the Data Access Request Management (DARM) and Data Sharing Service (DSS) Portals
The NIAGADS team has been hard at work writing and testing code to improve user experience in the DARM and DSS portals. We are happy to share that the following features are now available to users: DARM Administrator Role Added – Investigators can now designate “Administrators” to complete data applications…
Creating the Largest Joint-Called Whole Exome Sequencing (WES) Dataset for Alzheimer’s Disease (AD)
Over the last 20 years, the technology for DNA sequencing has rapidly evolved, making it possible to sequence individual whole genomes on a large scale. But when trying to find the underlying genetic causes of disease, every sequence donated matters. How can the sequences generated using older technology be reused?…
15 Genotyping Array Datasets From the Alzheimer’s Disease Research Centers (ADRC) Now Available!
We are thrilled to announce the release of 15 much-anticipated genotyping array datasets from participants recruited from the Alzheimer’s Disease Research Centers (ADRC)! These datasets, ADC1 through ADC15, are now available on the NIAGADS Data Sharing Service (DSS). DNA was prepared by the National Centralized Repository for Alzheimer’s Disease and…
Introducing hipFG: A high-throughput harmonization and integration pipeline for genomic annotations, QTLs, and chromatin interactions
A major challenge facing researchers today is the cleanup and harmonization of data for use in their work. As datasets get larger and the types of outputs continue to grow, this problem will continue to grow exponentially. Manually cleaning this data can be time consuming and prone to human error. Addressing…
Alzheimer’s Disease Sequencing Project Update: Round 2 of the Harmonized Phenotypes and R4 36KAnnotations Released
A new version of ng00067, the ADSP Umbrella Dataset is available on NIAGADS DSS. The ng00067.v11release consists of: The round 2 harmonized phenotypes from the Phenotype Harmonization Consortium, which includes a subset of harmonized, ADSP-sequenced participant data from the following studies: o Anti-Amyloid Treatment in Asymptomatic Alzheimer’s study (A4 Study)o…
ADSP R4 Quality-controlled Data for WGS Bi-allelic Autosomes is Here!
The ADSP has recently unveiled an updated version of the dataset (ng00067.v10) that encompasses valuable genetic information. This release comprises two key components: Furthermore, the R4 quality-controlled pVCF offers compact and compact filtered versions, providing smaller files that are more convenient to handle. Additionally, a user-friendly script has been made…
NIAGADS recognized by Amazon Web Services
NIAGADS is featured on the Amazon Web Services (AWS) blog for their work on Alzheimer’s Disease genetics data sharing. NIAGADS uses the AWS platform extensively to host and share large amounts of genome sequence data with the entire research community. Follow the link to read the blog post.