NIA has established the National Institute on Aging Genetics of Alzheimer's Disease Data Storage Site (NIAGADS) as a national genetics data repository in order to facilitate access by qualified investigators to genotypic data for the study of the genetics of late-onset Alzheimer's Disease (AD). It is the policy of the NIA that all Genetic Data derived from NIA funded studies for the genetics of late-onset Alzheimer's disease be deposited at NIAGADS or another NIA approved site or both whenever possible. NIAGADS is also the Data Coordinating Center for Alzheimer's Disease Sequencing Project (ADSP), a White House/NIH initiative to identify new genetic variants by sequencing genomes/exomes of ~15,000 AD patients and cognitively normal controls. In the second funding period, NIAGADS will continue its mission as the national repository for AD genetics with these proposed activities: (1) receive and organize AD genetics datasets for community access, (2) coordinate data production and support analysis activities for ADSP, (3) develop the AD Genomics Information Gateway (AD-GIG), an integrated information platform for researchers to access AD knowledge, data, and other resources at NIAGADS more easily, (4) expand NIAGADS resource by interfacing with other research initiatives, and (5) promote community involvement with an active outreach program.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Resource-Related Research Projects--Cooperative Agreements (U24)
Project #
5U24AG041689-09
Application #
9899175
Study Section
Neuroscience of Aging Review Committee (NIA)
Program Officer
Yao, Alison Q
Project Start
2012-04-01
Project End
2022-03-31
Budget Start
2020-06-15
Budget End
2021-03-31
Support Year
9
Fiscal Year
2020
Total Cost
Indirect Cost
Name
University of Pennsylvania
Department
Pathology
Type
Schools of Medicine
DUNS #
042250712
City
Philadelphia
State
PA
Country
United States
Zip Code
19104
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Blue, E E; Yu, C-E; Thornton, T A et al. (2018) Variants regulating ZBTB4 are associated with age-at-onset of Alzheimer's disease. Genes Brain Behav 17:e12429
Lobach, Iryna (2018) Bias in parameter estimates due to omitting gene-environment interaction terms in case-control studies. Genet Epidemiol 42:838-845
Sims, Rebecca (see original citation for additional authors) (2017) Rare coding variants in PLCG2, ABI3, and TREM2 implicate microglial-mediated innate immunity in Alzheimer's disease. Nat Genet 49:1373-1384
Mez, Jesse; Chung, Jaeyoon; Jun, Gyungah et al. (2017) Two novel loci, COBL and SLC10A2, for Alzheimer's disease in African Americans. Alzheimers Dement 13:119-129

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