News

NIAGADS is pleased to announce that the Genomics Database v. 3.3 has been released. It includes three new datasets: NG00065 (ADSP Case/Control): Gene level evidence for Alzheimer’s Disease from the ADSP Case/Control Work Group is now available. NG00061 (Functional Annotation of genomic variants in studies of LOAD): ADSP Discovery Phase whole genome and whole exome sequenced single nucleotide variants are now available. ExAC allele frequencies, CADD deleteriousness scores, and CATO transcription factor binding overlap variant annotations have also been added. NG00052 (CLU, A potential...
NIAGADS is pleased to announce that its Data Sharing Service (DSS) is now live. The NIAGADS DSS hosts genomic data from the Alzheimer’s Disease Sequencing Project (ADSP) and other NIA funded AD genomic studies with approved users in the research community at large. The DSS hosts sequencing data mapped to GRCh38, while ADSP Discovery data mapped to GRCh37 can still be accessed at dbGaP. If you are a Principal Investigator interested in accessing data, we encourage you to take a look at the application guidelines .
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 Alzheimer's disease genetic association has been published on bioRxiv and can be found here . Meta-analysis of genetic association with diagnosed Alzheimer's disease identifies novel risk loci and implicates Abeta, Tau, immunity and lipid processing Brian W. Kunkle, Benjamin Grenier-Boley, Rebecca...
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 visualization of summary statistics on the genome browser section of the site and adopts positional variant identifiers to allow more precise linkage of annotations to variants. It also introduces new variant annotations such as 1000 Genomes population frequencies, a shift from NCBI to Ensembl for the gene...
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 machine learning and artificial intelligence. The full CBS article can be found here .
“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 through also needs to increase in order to effectively pinpoint detection and risk factors for the disease. Cloud storage systems have been particularly helpful in this regard, the article notes. Li-San Wang, Principal Investigator for NIAGADS at UPenn, says, "We're talking about moving hundreds of...