Advancing Alzheimer's Research through Genomics: Insights from ADSP and NIAGADS
In this presentation, we explore the genomic frontiers of Alzheimer’s research through the groundbreaking Alzheimer’s Disease Sequencing Project (ADSP) and the NIA Genetics of Alzheimer’s Disease Data Storage Site (NIAGADS). These two critical initiatives leverage cutting-edge genomic technologies and create expansive data repositories in the pursuit of understanding Alzheimer’s and related dementias and innovative therapeutic strategies.
ADSP brings together multiple components to unravel the complex genetic landscape of Alzheimer’s disease, with the ultimate goal of advancing precision medicine for the millions affected worldwide by this devastating condition. By sequencing and analyzing up to 150,000 complete genomes alongside clinical and functional data, and incorporating AI and machine learning applications, ADSP has generated an unparalleled wealth of genomic information from diverse global populations. This extensive dataset provides a comprehensive and holistic view of the genetic factors underlying Alzheimer’s disease.
As a national data repository, NIAGADS supports Alzheimer’s Disease and Related Dementias (ADRD) research with high-quality whole-genome data collections, genome-wide association study (GWAS) summary statistics, and richly annotated genomic knowledge bases. NIAGADS fosters collaboration across research communities, accelerating discoveries and providing a resource for further exploration of genetic risk factors and biomarkers.
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Background on AD Genetics Research: Genetic research has identified key risk factors for Alzheimer’s, but the full genetic landscape remains complex.
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Introduction of ADSP: ADSP aims to sequence 150,000 genomes, combining genetic data with clinical and functional information and incorporation of AI and machine learning to advance the understanding of Alzheimer’s disease and related dementia.
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NIAGADS as an AD Genomics Resource: NIAGADS is a centralized repository providing high-quality genomic data, fostering collaboration and accelerating Alzheimer’s research.