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 #
2U24AG041689-06
Application #
9278728
Study Section
Neuroscience of Aging Review Committee (NIA)
Program Officer
Anderson, Dallas
Project Start
2012-04-01
Project End
2022-03-31
Budget Start
2017-04-01
Budget End
2018-03-31
Support Year
6
Fiscal Year
2017
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
Deming, Yuetiva; Dumitrescu, Logan; Barnes, Lisa L et al. (2018) Sex-specific genetic predictors of Alzheimer's disease biomarkers. Acta Neuropathol 136:857-872
Blue, Elizabeth E; Bis, Joshua C; Dorschner, Michael O et al. (2018) Genetic Variation in Genes Underlying Diverse Dementias May Explain a Small Proportion of Cases in the Alzheimer's Disease Sequencing Project. Dement Geriatr Cogn Disord 45:1-17
Guerreiro, R; Orme, T; Naj, A C et al. (2018) Is APOE ?4 required for Alzheimer's disease to develop in TREM2 p.R47H variant carriers? Neuropathol Appl Neurobiol :
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
Raghavan, Neha S; Brickman, Adam M; Andrews, Howard et al. (2018) Whole-exome sequencing in 20,197 persons for rare variants in Alzheimer's disease. Ann Clin Transl Neurol 5:832-842
Lobach, Iryna; Sampson, Joshua; Alekseyenko, Alexander et al. (2018) Case-control studies of gene-environment interactions. When a case might not be the case. PLoS One 13:e0201140
Zhou, Zilu; Wang, Weixin; Wang, Li-San et al. (2018) Integrative DNA copy number detection and genotyping from sequencing and array-based platforms. Bioinformatics 34:2349-2355
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

Showing the most recent 10 out of 33 publications